2: Model parameters: d_model 640 ffw_size 2560 kv_size 64 n_heads 10 n_layers 10 7: Model parameters: d_model 640 ffw_size 2560 kv_size 64 n_heads 10 n_layers 10 2: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 10 --hidden-size 640 --num-attention-heads 10 --kv-channels 64 --ffn-hidden-size 2560 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 9_703_701 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-83mwarmup --bf16 --checkpoint-activations --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 9_703_701 --lr-warmup-samples 97_037 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_83mwarmup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_83mwarmup --load checkpoints_83mwarmup --data-path /scratch/project_462000119 0: Model parameters: d_model 640 ffw_size 2560 kv_size 64 n_heads 10 n_layers 10 1: Model parameters: d_model 640 ffw_size 2560 kv_size 64 n_heads 10 n_layers 10 5: Model parameters: d_model 640 ffw_size 2560 kv_size 64 n_heads 10 n_layers 10 2: /data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2058110.json --zero-stage 0 2: START 2058110: Thu Nov 24 17:26:38 EET 2022 3: Model parameters: d_model 640 ffw_size 2560 kv_size 64 n_heads 10 n_layers 10 7: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 10 --hidden-size 640 --num-attention-heads 10 --kv-channels 64 --ffn-hidden-size 2560 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 9_703_701 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-83mwarmup --bf16 --checkpoint-activations --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 9_703_701 --lr-warmup-samples 97_037 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_83mwarmup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_83mwarmup --load checkpoints_83mwarmup --data-path /scratch/project_462000119 7: /data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2058110.json --zero-stage 0 7: START 2058110: Thu Nov 24 17:26:38 EET 2022 1: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 10 --hidden-size 640 --num-attention-heads 10 --kv-channels 64 --ffn-hidden-size 2560 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 9_703_701 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-83mwarmup --bf16 --checkpoint-activations --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 9_703_701 --lr-warmup-samples 97_037 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_83mwarmup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_83mwarmup --load checkpoints_83mwarmup --data-path /scratch/project_462000119 1: /data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2058110.json --zero-stage 0 1: START 2058110: Thu Nov 24 17:26:38 EET 2022 6: Model parameters: d_model 640 ffw_size 2560 kv_size 64 n_heads 10 n_layers 10 4: Model parameters: d_model 640 ffw_size 2560 kv_size 64 n_heads 10 n_layers 10 5: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 10 --hidden-size 640 --num-attention-heads 10 --kv-channels 64 --ffn-hidden-size 2560 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 9_703_701 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-83mwarmup --bf16 --checkpoint-activations --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 9_703_701 --lr-warmup-samples 97_037 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_83mwarmup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_83mwarmup --load checkpoints_83mwarmup --data-path /scratch/project_462000119 5: /data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2058110.json --zero-stage 0 5: START 2058110: Thu Nov 24 17:26:38 EET 2022 0: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 10 --hidden-size 640 --num-attention-heads 10 --kv-channels 64 --ffn-hidden-size 2560 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 9_703_701 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-83mwarmup --bf16 --checkpoint-activations --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 9_703_701 --lr-warmup-samples 97_037 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_83mwarmup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_83mwarmup --load checkpoints_83mwarmup --data-path /scratch/project_462000119 0: /data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2058110.json --zero-stage 0 0: START 2058110: Thu Nov 24 17:26:38 EET 2022 3: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 10 --hidden-size 640 --num-attention-heads 10 --kv-channels 64 --ffn-hidden-size 2560 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 9_703_701 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-83mwarmup --bf16 --checkpoint-activations --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 9_703_701 --lr-warmup-samples 97_037 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_83mwarmup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_83mwarmup --load checkpoints_83mwarmup --data-path /scratch/project_462000119 3: /data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2058110.json --zero-stage 0 3: START 2058110: Thu Nov 24 17:26:38 EET 2022 4: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 10 --hidden-size 640 --num-attention-heads 10 --kv-channels 64 --ffn-hidden-size 2560 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 9_703_701 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-83mwarmup --bf16 --checkpoint-activations --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 9_703_701 --lr-warmup-samples 97_037 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_83mwarmup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_83mwarmup --load checkpoints_83mwarmup --data-path /scratch/project_462000119 4: /data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2058110.json --zero-stage 0 4: START 2058110: Thu Nov 24 17:26:38 EET 2022 6: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 10 --hidden-size 640 --num-attention-heads 10 --kv-channels 64 --ffn-hidden-size 2560 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 9_703_701 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-83mwarmup --bf16 --checkpoint-activations --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 9_703_701 --lr-warmup-samples 97_037 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_83mwarmup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_83mwarmup --load checkpoints_83mwarmup --data-path /scratch/project_462000119 6: /data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2058110.json --zero-stage 0 6: START 2058110: Thu Nov 24 17:26:38 EET 2022 2: 2: 2: ======================= ROCm System Management Interface ======================= 2: ================================= Concise Info ================================= 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2: 0 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 36.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 41.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= End of ROCm SMI Log ============================== 7: 7: 7: ======================= ROCm System Management Interface ======================= 7: ================================= Concise Info ================================= 7: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 7: 0 49.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 41.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 49.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 39.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 41.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 41.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= End of ROCm SMI Log ============================== 5: 5: 5: ======================= ROCm System Management Interface ======================= 5: ================================= Concise Info ================================= 5: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 5: 0 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= End of ROCm SMI Log ============================== 0: 0: 0: ======================= ROCm System Management Interface ======================= 0: ================================= Concise Info ================================= 0: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 0: 0 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 40.0c 100.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 38.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 38.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 3: 3: 3: ======================= ROCm System Management Interface ======================= 3: ================================= Concise Info ================================= 3: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 3: 0 46.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 38.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 44.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: ================================================================================ 3: ============================= End of ROCm SMI Log ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 41.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 44.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= End of ROCm SMI Log ============================== 6: 6: 6: ======================= ROCm System Management Interface ======================= 6: ================================= Concise Info ================================= 6: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 6: 0 44.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 44.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 40.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 38.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 0: Launching on nid005360 (0/8), master nid005360 port 9999, GPUs 8, CUDA: True 2: Launching on nid005362 (2/8), master nid005360 port 9999, GPUs 8, CUDA: True 5: Launching on nid005365 (5/8), master nid005360 port 9999, GPUs 8, CUDA: True 3: Launching on nid005363 (3/8), master nid005360 port 9999, GPUs 8, CUDA: True 4: Launching on nid005364 (4/8), master nid005360 port 9999, GPUs 8, CUDA: True 7: Launching on nid005367 (7/8), master nid005360 port 9999, GPUs 8, CUDA: True 1: Launching on nid005361 (1/8), master nid005360 port 9999, GPUs 8, CUDA: True 6: Launching on nid005366 (6/8), master nid005360 port 9999, GPUs 8, CUDA: True 0: using world size: 64, data-parallel-size: 64, tensor-model-parallel size: 1, pipeline-model-parallel size: 1 0: accumulate and all-reduce gradients in fp32 for bfloat16 data type. 0: using torch.bfloat16 for parameters ... 0: ------------------------ arguments ------------------------ 0: abort_on_unmet_fused_kernel_constraints ......... False 0: accumulate_allreduce_grads_in_fp32 .............. True 0: adam_beta1 ...................................... 0.9 0: adam_beta2 ...................................... 0.999 0: adam_eps ........................................ 1e-08 0: adlr_autoresume ................................. False 0: adlr_autoresume_interval ........................ 1000 0: apply_query_key_layer_scaling ................... True 0: apply_residual_connection_post_layernorm ........ False 0: attention_dropout ............................... 0.1 0: attention_softmax_in_fp32 ....................... False 0: bert_binary_head ................................ True 0: bert_load ....................................... None 0: bf16 ............................................ True 0: bias_dropout_fusion ............................. True 0: bias_gelu_fusion ................................ True 0: biencoder_projection_dim ........................ 0 0: biencoder_shared_query_context_model ............ False 0: block_data_path ................................. None 0: checkpoint_activations .......................... True 0: checkpoint_in_cpu ............................... False 0: checkpoint_num_layers ........................... 1 0: clip_grad ....................................... 1.0 0: codecarbon_dir .................................. None 0: consumed_train_samples .......................... 0 0: consumed_train_tokens ........................... 0 0: consumed_valid_samples .......................... 0 0: contigious_checkpointing ........................ False 0: cpu_optimizer ................................... False 0: cpu_torch_adam .................................. False 0: curriculum_learning ............................. False 0: data_impl ....................................... mmap 0: data_parallel_size .............................. 64 0: data_path ....................................... ['/scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document'] 0: dataloader_type ................................. single 0: DDP_impl ........................................ local 0: decoder_seq_length .............................. None 0: deepscale ....................................... False 0: deepscale_config ................................ None 0: deepspeed ....................................... True 0: deepspeed_activation_checkpointing .............. False 0: deepspeed_config ................................ ds_configs/2058110.json 0: deepspeed_mpi ................................... False 0: distribute_checkpointed_activations ............. False 0: distributed_backend ............................. nccl 0: embed_layernorm ................................. False 0: embedding_path .................................. None 0: encoder_seq_length .............................. 2048 0: eod_mask_loss ................................... False 0: eval_interval ................................... 1000 0: eval_iters ...................................... 1 0: eval_only ....................................... None 0: evidence_data_path .............................. None 0: exit_duration_in_mins ........................... None 0: exit_interval ................................... None 0: ffn_hidden_size ................................. 2560 0: finetune ........................................ False 0: fp16 ............................................ False 0: fp16_lm_cross_entropy ........................... False 0: fp32_residual_connection ........................ False 0: gigaflos_no_embeds .............................. 0 0: global_batch_size ............................... 256 0: glu_activation .................................. None 0: hidden_dropout .................................. 0.1 0: hidden_size ..................................... 640 0: hysteresis ...................................... 2 0: ict_head_size ................................... None 0: ict_load ........................................ None 0: img_dim ......................................... 224 0: indexer_batch_size .............................. 128 0: indexer_log_interval ............................ 1000 0: inference ....................................... False 0: init_method_std ................................. 0.02 0: init_method_xavier_uniform ...................... False 0: initial_loss_scale .............................. 4294967296 0: kill_switch_path ................................ kill-switch-83mwarmup 0: kv_channels ..................................... 64 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_83mwarmup 0: local_rank ...................................... None 0: log_batch_size_to_tensorboard ................... True 0: log_interval .................................... 10 0: log_learning_rate_to_tensorboard ................ True 0: log_level ....................................... None 0: log_level_replica ............................... None 0: log_loss_scale_to_tensorboard ................... True 0: log_num_zeros_in_grad ........................... False 0: log_params_norm ................................. False 0: log_path ........................................ None 0: log_timers_to_tensorboard ....................... True 0: log_validation_ppl_to_tensorboard ............... True 0: loss_on_targets_only ............................ False 0: loss_scale ...................................... 12.0 0: loss_scale_window ............................... 1000 0: lr .............................................. 0.0002 0: lr_decay_iters .................................. None 0: lr_decay_samples ................................ 9703701 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 97037 0: make_vocab_size_divisible_by .................... 128 0: mask_prob ....................................... 0.15 0: masked_softmax_fusion ........................... True 0: max_position_embeddings ......................... 2048 0: mean_noise_span_length .......................... None 0: memory_centric_tiled_linear ..................... False 0: merge_file ...................................... gpt2/merges.txt 0: micro_batch_size ................................ 4 0: min_loss_scale .................................. 1.0 0: min_lr .......................................... 2e-05 0: mmap_warmup ..................................... False 0: no_load_optim ................................... None 0: no_load_rng ..................................... None 0: no_save_optim ................................... None 0: no_save_rng ..................................... None 0: noise_density ................................... None 0: num_attention_heads ............................. 10 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 10 0: num_layers_per_virtual_pipeline_stage ........... None 0: num_workers ..................................... 2 0: onnx_safe ....................................... None 0: openai_gelu ..................................... False 0: optimizer ....................................... adam 0: optimizer_fusion ................................ True 0: override_lr_scheduler ........................... False 0: pad_vocab_size_to ............................... None 0: params_dtype .................................... torch.bfloat16 0: partition_activations ........................... False 0: patch_dim ....................................... 16 0: pipeline_model_parallel_size .................... 1 0: position_embedding_type ......................... PositionEmbeddingType.absolute 0: pp_partition_method ............................. None 0: profile_backward ................................ False 0: query_in_block_prob ............................. 0.1 0: rampup_batch_size ............................... None 0: rank ............................................ 0 0: remote_device ................................... none 0: reset_attention_mask ............................ False 0: reset_position_ids .............................. False 0: retriever_report_topk_accuracies ................ [] 0: retriever_score_scaling ......................... False 0: retriever_seq_length ............................ 256 0: reweight_loss_based_on_position_frequency ....... False 0: sample_rate ..................................... 1.0 0: save ............................................ checkpoints_83mwarmup 0: save_interval ................................... 1000 0: scatter_gather_tensors_in_pipeline .............. True 0: scattered_embeddings ............................ False 0: seed ............................................ 1234 0: seq_length ...................................... 2048 0: sgd_momentum .................................... 0.9 0: short_seq_prob .................................. 0.1 0: skip_train_iteration_range ...................... None 0: split ........................................... 949,50,1 0: split_transformers .............................. False 0: sync_tp_duplicated_parameters ................... False 0: synchronize_each_layer .......................... False 0: tensor_model_parallel_size ...................... 1 0: tensorboard_dir ................................. tensorboard_83mwarmup 0: tensorboard_log_interval ........................ 1 0: tensorboard_queue_size .......................... 5 0: test_weighted_split_names ....................... None 0: test_weighted_split_paths ....................... None 0: test_weighted_split_paths_path .................. None 0: test_weighted_split_splits ...................... None 0: test_weighted_split_weights ..................... None 0: tile_factor ..................................... 1 0: titles_data_path ................................ None 0: tokenizer_name_or_path .......................... None 0: tokenizer_type .................................. GPT2BPETokenizer 0: train_iters ..................................... None 0: train_samples ................................... 9703701 0: train_tokens .................................... None 0: train_weighted_split_paths ...................... None 0: train_weighted_split_paths_path ................. None 0: universal_checkpoint ............................ False 0: use_bnb_optimizer ............................... False 0: use_checkpoint_lr_scheduler ..................... False 0: use_contiguous_buffers_in_ddp ................... True 0: use_cpu_initialization .......................... None 0: use_one_sent_docs ............................... False 0: use_pin_memory .................................. False 0: valid_num_workers ............................... 2 0: valid_weighted_split_names ...................... None 0: valid_weighted_split_paths ...................... None 0: valid_weighted_split_paths_path ................. None 0: valid_weighted_split_splits ..................... None 0: valid_weighted_split_weights .................... None 0: virtual_pipeline_model_parallel_size ............ None 0: vocab_extra_ids ................................. 0 0: vocab_file ...................................... gpt2/vocab.json 0: weight_decay .................................... 0.1 0: world_size ...................................... 64 0: zero_allgather_bucket_size ...................... 0.0 0: zero_contigious_gradients ....................... False 0: zero_reduce_bucket_size ......................... 0.0 0: zero_reduce_scatter ............................. False 0: zero_stage ...................................... 0 0: -------------------- end of arguments --------------------- 0: setting number of micro-batches to constant 1 0: > building GPT2BPETokenizer tokenizer ... 0: > padded vocab (size: 50257) with 47 dummy tokens (new size: 50304) 0: DeepSpeed general environment info: 0: torch install path ............... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch'] 0: torch version .................... 1.13.0+rocm5.2 0: torch cuda version ............... None 0: torch hip version ................ 5.2.21151-afdc89f8 0: nvcc version ..................... None 0: deepspeed install path ........... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/deepspeed'] 0: deepspeed info ................... 0.7.5, unknown, unknown 0: deepspeed wheel compiled w. ...... torch 1.13, hip 5.1 0: **** Git info for Megatron: git_hash=unknown git_branch=unknown **** 0: > initializing torch distributed ... 0: [2022-11-24 17:26:47,564] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl 7: > setting tensorboard ... 0: > initializing tensor model parallel with size 1 0: > initializing pipeline model parallel with size 1 0: > setting random seeds to 1234 ... 0: > initializing model parallel cuda seeds on global rank 0, model parallel rank 0, and data parallel rank 0 with model parallel seed: 3952 and data parallel seed: 1234 0: > compiling dataset index builder ... 0: make: Entering directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: make: Nothing to be done for 'default'. 0: make: Leaving directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: >>> done with dataset index builder. Compilation time: 0.056 seconds 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: ninja: no work to do. 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: [1/1] c++ scaled_masked_softmax_hip.cuda.o scaled_masked_softmax_hip.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda_kernel.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_hip_kernel.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 67 0: ninja: no work to do. 0: >>> done with compiling and loading fused kernels. Compilation time: 16.610 seconds 0: time to initialize megatron (seconds): 77.361 0: [after megatron is initialized] datetime: 2022-11-24 17:27:09 0: building GPT model ... 0: [2022-11-24 17:27:09,442] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-24 17:27:09,443] [INFO] [utils.py:828:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.0 GB Max_CA 0 GB 0: [2022-11-24 17:27:09,443] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.13 GB, percent = 6.6% 0: SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None 0: Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=1, model=0): 1, ProcessCoord(pipe=0, data=2, model=0): 2, ProcessCoord(pipe=0, data=3, model=0): 3, ProcessCoord(pipe=0, data=4, model=0): 4, ProcessCoord(pipe=0, data=5, model=0): 5, ProcessCoord(pipe=0, data=6, model=0): 6, ProcessCoord(pipe=0, data=7, model=0): 7, ProcessCoord(pipe=0, data=8, model=0): 8, ProcessCoord(pipe=0, data=9, model=0): 9, ProcessCoord(pipe=0, data=10, model=0): 10, ProcessCoord(pipe=0, data=11, model=0): 11, ProcessCoord(pipe=0, data=12, model=0): 12, ProcessCoord(pipe=0, data=13, model=0): 13, ProcessCoord(pipe=0, data=14, model=0): 14, ProcessCoord(pipe=0, data=15, model=0): 15, ProcessCoord(pipe=0, data=16, model=0): 16, ProcessCoord(pipe=0, data=17, model=0): 17, ProcessCoord(pipe=0, data=18, model=0): 18, ProcessCoord(pipe=0, data=19, model=0): 19, ProcessCoord(pipe=0, data=20, model=0): 20, ProcessCoord(pipe=0, data=21, model=0): 21, ProcessCoord(pipe=0, data=22, model=0): 22, ProcessCoord(pi 0: pe=0, data=23, model=0): 23, ProcessCoord(pipe=0, data=24, model=0): 24, ProcessCoord(pipe=0, data=25, model=0): 25, ProcessCoord(pipe=0, data=26, model=0): 26, ProcessCoord(pipe=0, data=27, model=0): 27, ProcessCoord(pipe=0, data=28, model=0): 28, ProcessCoord(pipe=0, data=29, model=0): 29, ProcessCoord(pipe=0, data=30, model=0): 30, ProcessCoord(pipe=0, data=31, model=0): 31, ProcessCoord(pipe=0, data=32, model=0): 32, ProcessCoord(pipe=0, data=33, model=0): 33, ProcessCoord(pipe=0, data=34, model=0): 34, ProcessCoord(pipe=0, data=35, model=0): 35, ProcessCoord(pipe=0, data=36, model=0): 36, ProcessCoord(pipe=0, data=37, model=0): 37, ProcessCoord(pipe=0, data=38, model=0): 38, ProcessCoord(pipe=0, data=39, model=0): 39, ProcessCoord(pipe=0, data=40, model=0): 40, ProcessCoord(pipe=0, data=41, model=0): 41, ProcessCoord(pipe=0, data=42, model=0): 42, ProcessCoord(pipe=0, data=43, model=0): 43, ProcessCoord(pipe=0, data=44, model=0): 44, ProcessCoord(pipe=0, data=45, model=0): 45, ProcessCoord(pipe=0, data=4 0: 6, model=0): 46, ProcessCoord(pipe=0, data=47, model=0): 47, ProcessCoord(pipe=0, data=48, model=0): 48, ProcessCoord(pipe=0, data=49, model=0): 49, ProcessCoord(pipe=0, data=50, model=0): 50, ProcessCoord(pipe=0, data=51, model=0): 51, ProcessCoord(pipe=0, data=52, model=0): 52, ProcessCoord(pipe=0, data=53, model=0): 53, ProcessCoord(pipe=0, data=54, model=0): 54, ProcessCoord(pipe=0, data=55, model=0): 55, ProcessCoord(pipe=0, data=56, model=0): 56, ProcessCoord(pipe=0, data=57, model=0): 57, ProcessCoord(pipe=0, data=58, model=0): 58, ProcessCoord(pipe=0, data=59, model=0): 59, ProcessCoord(pipe=0, data=60, model=0): 60, ProcessCoord(pipe=0, data=61, model=0): 61, ProcessCoord(pipe=0, data=62, model=0): 62, ProcessCoord(pipe=0, data=63, model=0): 63} 0: [2022-11-24 17:27:11,423] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=17 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 0: 3: ParallelTransformerLayerPipe 0: 4: ParallelTransformerLayerPipe 0: 5: ParallelTransformerLayerPipe 0: 6: ParallelTransformerLayerPipe 0: 7: ParallelTransformerLayerPipe 0: 8: ParallelTransformerLayerPipe 0: 9: ParallelTransformerLayerPipe 0: 10: ParallelTransformerLayerPipe 0: 11: ParallelTransformerLayerPipe 0: 12: ParallelTransformerLayerPipe 0: 13: undo 0: 14: MixedFusedLayerNorm 0: 15: EmbeddingPipe 0: 16: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-24 17:27:11,513] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-24 17:27:11,514] [INFO] [utils.py:828:see_memory_usage] MA 0.16 GB Max_MA 0.16 GB CA 0.17 GB Max_CA 0 GB 0: [2022-11-24 17:27:11,514] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.14 GB, percent = 6.6% 0: setting training iterations to 37905 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-24 17:27:11,515] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-24 17:27:21,985] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-24 17:27:21,985] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-24 17:27:21,985] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-24 17:27:21,987] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-24 17:27:21,987] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-24 17:27:22,029] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-24 17:27:22,030] [INFO] [utils.py:828:see_memory_usage] MA 0.16 GB Max_MA 0.16 GB CA 0.17 GB Max_CA 0 GB 0: [2022-11-24 17:27:22,030] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.81 GB, percent = 6.7% 2: ninja: no work to do. 2: Time to load utils op: 0.20260143280029297 seconds 4: Time to load utils op: 0.20280122756958008 seconds 6: Time to load utils op: 0.20296263694763184 seconds 0: Time to load utils op: 0.20680475234985352 seconds 0: [2022-11-24 17:27:22,278] [INFO] [utils.py:827:see_memory_usage] before initializing group 0 0: [2022-11-24 17:27:22,279] [INFO] [utils.py:828:see_memory_usage] MA 0.16 GB Max_MA 0.16 GB CA 0.17 GB Max_CA 0 GB 0: [2022-11-24 17:27:22,279] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.82 GB, percent = 6.7% 0: [2022-11-24 17:27:22,329] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 0: [2022-11-24 17:27:22,329] [INFO] [utils.py:828:see_memory_usage] MA 0.37 GB Max_MA 0.37 GB CA 0.48 GB Max_CA 0 GB 0: [2022-11-24 17:27:22,329] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.82 GB, percent = 6.7% 0: [2022-11-24 17:27:22,362] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-24 17:27:22,363] [INFO] [utils.py:828:see_memory_usage] MA 0.37 GB Max_MA 0.37 GB CA 0.48 GB Max_CA 0 GB 0: [2022-11-24 17:27:22,363] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.82 GB, percent = 6.7% 0: ninja: no work to do. 0: Time to load utils op: 0.13292956352233887 seconds 2: Time to load utils op: 0.0005404949188232422 seconds 4: Time to load utils op: 0.0004391670227050781 seconds 6: Time to load utils op: 0.00047087669372558594 seconds 0: Time to load utils op: 0.0006237030029296875 seconds 0: [2022-11-24 17:27:22,397] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-24 17:27:22,397] [INFO] [utils.py:828:see_memory_usage] MA 0.47 GB Max_MA 0.47 GB CA 0.58 GB Max_CA 1 GB 0: [2022-11-24 17:27:22,398] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.83 GB, percent = 6.7% 0: [2022-11-24 17:27:22,428] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-24 17:27:22,429] [INFO] [utils.py:828:see_memory_usage] MA 0.47 GB Max_MA 0.47 GB CA 0.58 GB Max_CA 1 GB 0: [2022-11-24 17:27:22,429] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.83 GB, percent = 6.7% 0: Time to load utils op: 0.20239710807800293 seconds 0: Time to load utils op: 0.20267558097839355 seconds 0: Time to load utils op: 0.20272374153137207 secondsTime to load utils op: 0.20276808738708496 seconds 0: 0: Time to load utils op: 0.20262980461120605 seconds 0: 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1: Time to load utils op: 0.0003840923309326172 seconds 6: Time to load utils op: 0.0003705024719238281 seconds 6: Time to load utils op: 0.0004024505615234375 seconds 1: Time to load utils op: 0.0003783702850341797 seconds 6: Time to load utils op: 0.00037407875061035156 seconds 6: Time to load utils op: 0.0003566741943359375 seconds 7: Time to load utils op: 0.0004985332489013672 seconds 7: Time to load utils op: 0.0005004405975341797 secondsTime to load utils op: 0.0004913806915283203 seconds 7: 7: Time to load utils op: 0.0004811286926269531 seconds 7: Time to load utils op: 0.00038933753967285156 seconds 7: Time to load utils op: 0.0003941059112548828 seconds 7: Time to load utils op: 0.00037479400634765625 seconds 7: Time to load utils op: 0.0003407001495361328 seconds 5: Time to load utils op: 0.0004982948303222656 seconds 5: Time to load utils op: 0.0004849433898925781 seconds 5: Time to load utils op: 0.0005216598510742188 seconds 5: Time to load utils op: 0.0005359649658203125 seconds 5: Time to load utils op: 0.0005474090576171875 seconds 5: Time to load utils op: 0.000576019287109375 seconds 5: Time to load utils op: 0.0005767345428466797 seconds 5: Time to load utils op: 0.0006313323974609375 seconds 0: [2022-11-24 17:27:22,478] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-24 17:27:22,478] [INFO] [utils.py:828:see_memory_usage] MA 0.47 GB Max_MA 0.47 GB CA 0.58 GB Max_CA 1 GB 0: [2022-11-24 17:27:22,478] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.92 GB, percent = 6.7% 0: [2022-11-24 17:27:22,522] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-24 17:27:22,522] [INFO] [utils.py:828:see_memory_usage] MA 0.47 GB Max_MA 0.47 GB CA 0.58 GB Max_CA 1 GB 0: [2022-11-24 17:27:22,523] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.95 GB, percent = 6.7% 0: [2022-11-24 17:27:22,561] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-24 17:27:22,562] [INFO] [utils.py:828:see_memory_usage] MA 0.48 GB Max_MA 0.48 GB CA 0.58 GB Max_CA 1 GB 0: [2022-11-24 17:27:22,562] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.95 GB, percent = 6.7% 0: [2022-11-24 17:27:22,595] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-24 17:27:22,595] [INFO] [utils.py:828:see_memory_usage] MA 0.48 GB Max_MA 0.48 GB CA 0.58 GB Max_CA 1 GB 0: [2022-11-24 17:27:22,595] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.95 GB, percent = 6.7% 0: [2022-11-24 17:27:22,595] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-24 17:27:22,596] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-24 17:27:22,596] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-24 17:27:22,596] [INFO] [logging.py:68:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0, 0.0, 0.0], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: [2022-11-24 17:27:22,596] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-24 17:27:22,596] [INFO] [config.py:1011:print] activation_checkpointing_config { 0: "partition_activations": false, 0: "contiguous_memory_optimization": false, 0: "cpu_checkpointing": false, 0: "number_checkpoints": null, 0: "synchronize_checkpoint_boundary": false, 0: "profile": false 0: } 0: [2022-11-24 17:27:22,596] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-24 17:27:22,596] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-24 17:27:22,596] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-24 17:27:22,596] [INFO] [config.py:1011:print] autotuning_config ............ { 0: "enabled": false, 0: "start_step": null, 0: "end_step": null, 0: "metric_path": null, 0: "arg_mappings": null, 0: "metric": "throughput", 0: "model_info": null, 0: "results_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_results", 0: "exps_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_exps", 0: "overwrite": true, 0: "fast": true, 0: "start_profile_step": 3, 0: "end_profile_step": 5, 0: "tuner_type": "gridsearch", 0: "tuner_early_stopping": 5, 0: "tuner_num_trials": 50, 0: "model_info_path": null, 0: "mp_size": 1, 0: "max_train_batch_size": null, 0: "min_train_batch_size": 1, 0: "max_train_micro_batch_size_per_gpu": 1.024000e+03, 0: "min_train_micro_batch_size_per_gpu": 1, 0: "num_tuning_micro_batch_sizes": 3 0: } 0: [2022-11-24 17:27:22,596] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-24 17:27:22,596] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_pa 0: rameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}} 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] flops_profiler_config ........ { 0: "enabled": false, 0: "profile_step": 1, 0: "module_depth": -1, 0: "top_modules": 1, 0: "detailed": true, 0: "output_file": null 0: } 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] nebula_config ................ { 0: "enabled": false, 0: "persistent_storage_path": null, 0: "persistent_time_interval": 100, 0: "num_of_version_in_retention": 2, 0: "enable_nebula_load": true, 0: "load_path": null 0: } 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-24 17:27:22,597] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] world_size ................... 64 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] zero_config .................. stage=0 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500000000 allgather_partitions=True allgather_bucket_size=500000000 overlap_comm=False load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=None sub_group_size=1000000000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50000000 param_persistence_threshold=100000 model_persistence_threshold=9223372036854775807 max_live_parameters=1000000000 max_reuse_distance=1000000000 gather_16bit_weights_on_model_save=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-24 17:27:22,598] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-24 17:27:22,598] [INFO] [config.py:996:print_user_config] json = { 0: "train_micro_batch_size_per_gpu": 4, 0: "train_batch_size": 256, 0: "gradient_clipping": 1.0, 0: "zero_optimization": { 0: "stage": 0 0: }, 0: "bf16": { 0: "enabled": true 0: }, 0: "steps_per_print": 2.000000e+03, 0: "wall_clock_breakdown": false 0: } 0: Time to load utils op: 0.0004172325134277344 seconds 0: [2022-11-24 17:27:22,598] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2022-11-24 17:27:22,656] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=17 [0, 17) STAGE_PARAMS=82741760 (82.742M) TOTAL_PARAMS=82741760 (82.742M) UNIQUE_PARAMS=82741760 (82.742M) 7: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: WARNING: could not find the metadata file checkpoints_83mwarmup 4: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: will not load any checkpoints and will start from random 1: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 17:27:22,664] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 17:27:22,665] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83mwarmup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: time (ms) | load-checkpoint: 8.68 0: estimated model parameters: 0.08274176 0: estimated model parameters without embeddings: 0.04923648 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-24 17:27:22 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 9703701 0: validation: 9728 0: test: 256 0: > building train, validation, and test datasets for GPT ... 0: > building dataset index ... 0: reading sizes... 0: reading pointers... 0: reading document index... 0: creating numpy buffer of mmap... 0: creating memory view of numpy buffer... 0: > finished creating indexed dataset in 0.001480 seconds 0: number of documents: 210604984 0: > dataset split: 0: train: 0: document indices in [0, 199864130) total of 199864130 documents 0: validation: 0: document indices in [199864130, 210394379) total of 10530249 documents 0: test: 0: document indices in [210394379, 210604984) total of 210605 documents 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_9703701ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_9703701ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_9703701ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.006 seconds 0: total number of samples: 173377817 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_9728ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_9728ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_9728ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.030 seconds 0: total number of samples: 9118345 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.003 seconds 0: total number of samples: 182928 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2022-11-24 17:27:37 0: done with setup ... 0: training ... 7: time (ms) | model-and-optimizer-setup: 13342.59 | train/valid/test-data-iterators-setup: 14122.09 0: Number of parameters: [tensor rank - pipeline rank] w/ and w/o embeddings: 0: [000-000] 0.0827B / 0.0492B 0: [before the start of training step] datetime: 2022-11-24 17:27:37 0: [2022-11-24 17:27:37,605] [INFO] [checkpointing.py:553:forward] Activation Checkpointing Information 0: [2022-11-24 17:27:37,605] [INFO] [checkpointing.py:554:forward] ----Partition Activations False, CPU CHECKPOINTING False 0: [2022-11-24 17:27:37,605] [INFO] [checkpointing.py:557:forward] ----contiguous Memory Checkpointing False with None total layers 0: [2022-11-24 17:27:37,605] [INFO] [checkpointing.py:560:forward] ----Synchronization False 0: [2022-11-24 17:27:37,605] [INFO] [checkpointing.py:561:forward] ----Profiling time in checkpointing False 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 2225.85888671875 | max allocated: 4715.3271484375 | reserved: 5998.0 | max reserved: 5998.0 7: iteration 10/ 37905 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 1.10 | learning rate: 5.276E-06 | global batch size: 256 | lm loss: 1.072205E+01 | grad norm: 9.043 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 232.751 | TFLOPs: 5.93 | 7: iteration 20/ 37905 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.23 | learning rate: 1.055E-05 | global batch size: 256 | lm loss: 9.788446E+00 | grad norm: 2.676 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.160 | TFLOPs: 27.92 | 7: iteration 30/ 37905 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.24 | learning rate: 1.583E-05 | global batch size: 256 | lm loss: 9.320493E+00 | grad norm: 1.934 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.073 | TFLOPs: 27.67 | 7: iteration 40/ 37905 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.24 | learning rate: 2.111E-05 | global batch size: 256 | lm loss: 9.053711E+00 | grad norm: 1.535 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1060.288 | TFLOPs: 27.01 | 7: iteration 50/ 37905 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.23 | learning rate: 2.638E-05 | global batch size: 256 | lm loss: 8.795170E+00 | grad norm: 1.563 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.700 | TFLOPs: 27.84 | 7: iteration 60/ 37905 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.24 | learning rate: 3.166E-05 | global batch size: 256 | lm loss: 8.576658E+00 | grad norm: 1.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.265 | TFLOPs: 27.42 | 7: iteration 70/ 37905 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.24 | learning rate: 3.693E-05 | global batch size: 256 | lm loss: 8.302822E+00 | grad norm: 1.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1055.377 | TFLOPs: 26.89 | 7: iteration 80/ 37905 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.24 | learning rate: 4.221E-05 | global batch size: 256 | lm loss: 8.006616E+00 | grad norm: 1.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1056.384 | TFLOPs: 26.91 | 7: iteration 90/ 37905 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.23 | learning rate: 4.749E-05 | global batch size: 256 | lm loss: 7.772424E+00 | grad norm: 1.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.859 | TFLOPs: 27.97 | 7: iteration 100/ 37905 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.24 | learning rate: 5.276E-05 | global batch size: 256 | lm loss: 7.502325E+00 | grad norm: 1.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1059.399 | TFLOPs: 26.99 | 7: iteration 110/ 37905 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.24 | learning rate: 5.804E-05 | global batch size: 256 | lm loss: 7.250214E+00 | grad norm: 1.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1064.738 | TFLOPs: 27.12 | 7: iteration 120/ 37905 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.23 | learning rate: 6.332E-05 | global batch size: 256 | lm loss: 7.035535E+00 | grad norm: 0.895 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.693 | TFLOPs: 28.04 | 7: iteration 130/ 37905 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.23 | learning rate: 6.859E-05 | global batch size: 256 | lm loss: 6.825818E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.803 | TFLOPs: 27.76 | 7: iteration 140/ 37905 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.24 | learning rate: 7.387E-05 | global batch size: 256 | lm loss: 6.694688E+00 | grad norm: 0.943 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.808 | TFLOPs: 27.58 | 7: iteration 150/ 37905 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.24 | learning rate: 7.915E-05 | global batch size: 256 | lm loss: 6.605208E+00 | grad norm: 0.945 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.954 | TFLOPs: 27.72 | 7: iteration 160/ 37905 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.24 | learning rate: 8.442E-05 | global batch size: 256 | lm loss: 6.446492E+00 | grad norm: 0.854 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.207 | TFLOPs: 27.47 | 7: iteration 170/ 37905 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.24 | learning rate: 8.970E-05 | global batch size: 256 | lm loss: 6.397290E+00 | grad norm: 1.026 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.202 | TFLOPs: 27.34 | 7: iteration 180/ 37905 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.24 | learning rate: 9.497E-05 | global batch size: 256 | lm loss: 6.268332E+00 | grad norm: 1.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1071.348 | TFLOPs: 27.29 | 7: iteration 190/ 37905 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.24 | learning rate: 1.003E-04 | global batch size: 256 | lm loss: 6.207250E+00 | grad norm: 1.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1070.907 | TFLOPs: 27.28 | 7: iteration 200/ 37905 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.24 | learning rate: 1.055E-04 | global batch size: 256 | lm loss: 6.126040E+00 | grad norm: 1.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1072.107 | TFLOPs: 27.31 | 7: iteration 210/ 37905 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.24 | learning rate: 1.108E-04 | global batch size: 256 | lm loss: 6.066714E+00 | grad norm: 0.828 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1048.086 | TFLOPs: 26.70 | 7: iteration 220/ 37905 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.24 | learning rate: 1.161E-04 | global batch size: 256 | lm loss: 5.985172E+00 | grad norm: 1.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1056.543 | TFLOPs: 26.92 | 7: iteration 230/ 37905 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.24 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 5.943061E+00 | grad norm: 0.936 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.001 | TFLOPs: 27.67 | 7: iteration 240/ 37905 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.25 | learning rate: 1.266E-04 | global batch size: 256 | lm loss: 5.908157E+00 | grad norm: 0.986 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1034.343 | TFLOPs: 26.35 | 7: iteration 250/ 37905 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.24 | learning rate: 1.319E-04 | global batch size: 256 | lm loss: 5.818491E+00 | grad norm: 1.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1070.264 | TFLOPs: 27.27 | 7: iteration 260/ 37905 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.24 | learning rate: 1.372E-04 | global batch size: 256 | lm loss: 5.790985E+00 | grad norm: 0.995 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.163 | TFLOPs: 27.67 | 7: iteration 270/ 37905 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.24 | learning rate: 1.425E-04 | global batch size: 256 | lm loss: 5.705864E+00 | grad norm: 1.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.007 | TFLOPs: 27.39 | 7: iteration 280/ 37905 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.23 | learning rate: 1.477E-04 | global batch size: 256 | lm loss: 5.682667E+00 | grad norm: 1.108 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.631 | TFLOPs: 28.22 | 7: iteration 290/ 37905 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.24 | learning rate: 1.530E-04 | global batch size: 256 | lm loss: 5.622585E+00 | grad norm: 1.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.118 | TFLOPs: 27.67 | 7: iteration 300/ 37905 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.24 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 5.537489E+00 | grad norm: 0.826 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1063.299 | TFLOPs: 27.09 | 7: iteration 310/ 37905 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.24 | learning rate: 1.636E-04 | global batch size: 256 | lm loss: 5.552473E+00 | grad norm: 1.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1071.607 | TFLOPs: 27.30 | 7: iteration 320/ 37905 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.23 | learning rate: 1.688E-04 | global batch size: 256 | lm loss: 5.524154E+00 | grad norm: 1.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.339 | TFLOPs: 28.13 | 7: iteration 330/ 37905 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.24 | learning rate: 1.741E-04 | global batch size: 256 | lm loss: 5.479596E+00 | grad norm: 1.103 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1050.593 | TFLOPs: 26.76 | 7: iteration 340/ 37905 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.23 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 5.439256E+00 | grad norm: 1.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.603 | TFLOPs: 27.76 | 7: iteration 350/ 37905 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.23 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 5.392545E+00 | grad norm: 1.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.112 | TFLOPs: 28.41 | 7: iteration 360/ 37905 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.24 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 5.350760E+00 | grad norm: 1.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.559 | TFLOPs: 27.20 | 7: iteration 370/ 37905 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.24 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 5.286657E+00 | grad norm: 1.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.133 | TFLOPs: 27.44 | 7: iteration 380/ 37905 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.281863E+00 | grad norm: 0.762 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.863 | TFLOPs: 27.76 | 7: iteration 390/ 37905 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.228686E+00 | grad norm: 1.038 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.339 | TFLOPs: 27.45 | 7: iteration 400/ 37905 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.239487E+00 | grad norm: 1.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.490 | TFLOPs: 28.01 | 7: iteration 410/ 37905 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.195475E+00 | grad norm: 1.024 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.514 | TFLOPs: 27.76 | 7: iteration 420/ 37905 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.226641E+00 | grad norm: 0.891 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.129 | TFLOPs: 27.16 | 7: iteration 430/ 37905 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.154698E+00 | grad norm: 0.955 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.336 | TFLOPs: 27.45 | 7: iteration 440/ 37905 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.109933E+00 | grad norm: 0.784 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.553 | TFLOPs: 27.91 | 7: iteration 450/ 37905 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.072846E+00 | grad norm: 0.951 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.651 | TFLOPs: 27.91 | 7: iteration 460/ 37905 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.079019E+00 | grad norm: 0.873 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.503 | TFLOPs: 27.50 | 7: iteration 470/ 37905 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.049231E+00 | grad norm: 1.008 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.723 | TFLOPs: 27.74 | 7: iteration 480/ 37905 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.038090E+00 | grad norm: 0.927 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1072.864 | TFLOPs: 27.33 | 7: iteration 490/ 37905 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.25 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.980763E+00 | grad norm: 0.829 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1044.551 | TFLOPs: 26.61 | 7: iteration 500/ 37905 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.971060E+00 | grad norm: 0.857 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1070.918 | TFLOPs: 27.28 | 7: iteration 510/ 37905 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.952734E+00 | grad norm: 0.999 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.065 | TFLOPs: 28.58 | 7: iteration 520/ 37905 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.25 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.931752E+00 | grad norm: 0.768 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1016.233 | TFLOPs: 25.89 | 7: iteration 530/ 37905 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.871220E+00 | grad norm: 0.839 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.189 | TFLOPs: 28.00 | 7: iteration 540/ 37905 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.26 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.924800E+00 | grad norm: 0.918 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 988.547 | TFLOPs: 25.18 | 7: iteration 550/ 37905 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.906501E+00 | grad norm: 0.821 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1060.169 | TFLOPs: 27.01 | 7: iteration 560/ 37905 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.918441E+00 | grad norm: 0.782 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.761 | TFLOPs: 27.56 | 7: iteration 570/ 37905 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.866028E+00 | grad norm: 0.736 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.942 | TFLOPs: 28.10 | 7: iteration 580/ 37905 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.828461E+00 | grad norm: 1.035 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.716 | TFLOPs: 27.35 | 7: iteration 590/ 37905 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.789200E+00 | grad norm: 0.999 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.165 | TFLOPs: 27.39 | 7: iteration 600/ 37905 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.779237E+00 | grad norm: 0.824 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.376 | TFLOPs: 27.34 | 7: iteration 610/ 37905 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.767820E+00 | grad norm: 0.942 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.257 | TFLOPs: 27.90 | 7: iteration 620/ 37905 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.721749E+00 | grad norm: 0.946 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.873 | TFLOPs: 27.84 | 7: iteration 630/ 37905 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.806857E+00 | grad norm: 1.034 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.345 | TFLOPs: 28.01 | 7: iteration 640/ 37905 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.721439E+00 | grad norm: 0.998 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.463 | TFLOPs: 27.78 | 7: iteration 650/ 37905 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.739394E+00 | grad norm: 0.838 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.032 | TFLOPs: 27.95 | 7: iteration 660/ 37905 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.689288E+00 | grad norm: 0.892 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.981 | TFLOPs: 27.79 | 7: iteration 670/ 37905 | consumed samples: 171520 | consumed tokens: 351272960 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.646364E+00 | grad norm: 0.724 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.387 | TFLOPs: 28.16 | 7: iteration 680/ 37905 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.657493E+00 | grad norm: 0.663 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.450 | TFLOPs: 28.39 | 7: iteration 690/ 37905 | consumed samples: 176640 | consumed tokens: 361758720 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.644957E+00 | grad norm: 0.949 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.515 | TFLOPs: 28.14 | 7: iteration 700/ 37905 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.636510E+00 | grad norm: 0.775 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.162 | TFLOPs: 27.34 | 7: iteration 710/ 37905 | consumed samples: 181760 | consumed tokens: 372244480 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.624611E+00 | grad norm: 0.902 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.217 | TFLOPs: 27.49 | 7: iteration 720/ 37905 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.637150E+00 | grad norm: 0.717 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.018 | TFLOPs: 27.79 | 7: iteration 730/ 37905 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.608374E+00 | grad norm: 0.851 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1049.537 | TFLOPs: 26.74 | 7: iteration 740/ 37905 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.588146E+00 | grad norm: 1.028 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.586 | TFLOPs: 28.29 | 7: iteration 750/ 37905 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.534375E+00 | grad norm: 0.871 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1045.940 | TFLOPs: 26.65 | 7: iteration 760/ 37905 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 0.25 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.563620E+00 | grad norm: 0.663 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1031.363 | TFLOPs: 26.27 | 7: iteration 770/ 37905 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.565858E+00 | grad norm: 0.839 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.904 | TFLOPs: 27.43 | 7: iteration 780/ 37905 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 0.24 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.506517E+00 | grad norm: 0.647 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.663 | TFLOPs: 27.68 | 7: iteration 790/ 37905 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.488733E+00 | grad norm: 0.968 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.656 | TFLOPs: 28.09 | 7: iteration 800/ 37905 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.24 | learning rate: 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of nan iterations: 0 | samples per second: 1093.796 | TFLOPs: 27.86 | 7: iteration 980/ 37905 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.124831E+00 | grad norm: 0.991 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.404 | TFLOPs: 27.91 | 7: iteration 990/ 37905 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.144558E+00 | grad norm: 1.028 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.147 | TFLOPs: 27.85 | 7: iteration 1000/ 37905 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.094858E+00 | grad norm: 0.885 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.684 | TFLOPs: 27.91 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 1000 | lm loss value: 3.946632E+00 | lm loss PPL: 5.176074E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 1000 to checkpoints_83mwarmup 0: [2022-11-24 17:31:43,262] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2022-11-24 17:31:43,275] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step1000/layer_01-model_00-model_states.pt... 0: [2022-11-24 17:31:43,349] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step1000/layer_01-model_00-model_states.pt. 0: [2022-11-24 17:31:43,350] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-24 17:31:43,522] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2022-11-24 17:31:43,522] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 3: [2022-11-24 17:31:43,522] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 4: [2022-11-24 17:31:43,522] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 3: [2022-11-24 17:31:43,522] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 5: [2022-11-24 17:31:43,522] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 4: [2022-11-24 17:31:43,522] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2022-11-24 17:31:43,522] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2022-11-24 17:31:43,522] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-24 17:31:43,522] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2022-11-24 17:31:43,523] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2022-11-24 17:31:43,523] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-24 17:31:43,523] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2022-11-24 17:31:43,523] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-24 17:31:43,523] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step1000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-24 17:31:43,523] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 266.16 7: iteration 1010/ 37905 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.27 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.111457E+00 | grad norm: 0.855 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 956.255 | TFLOPs: 24.36 | 7: iteration 1020/ 37905 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.24 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.086605E+00 | grad norm: 1.041 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.084 | TFLOPs: 27.59 | 7: iteration 1030/ 37905 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.24 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.056158E+00 | grad norm: 0.920 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.954 | TFLOPs: 27.64 | 7: iteration 1040/ 37905 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.24 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.091284E+00 | grad norm: 0.918 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.736 | TFLOPs: 27.25 | 7: iteration 1050/ 37905 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.24 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.050221E+00 | grad norm: 0.930 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.878 | TFLOPs: 27.51 | 7: iteration 1060/ 37905 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.005780E+00 | grad norm: 0.824 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.302 | TFLOPs: 27.83 | 7: iteration 1070/ 37905 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.994738E+00 | grad norm: 0.892 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.291 | TFLOPs: 28.03 | 7: iteration 1080/ 37905 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.923623E+00 | grad norm: 0.782 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.059 | TFLOPs: 27.46 | 7: iteration 1090/ 37905 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.951868E+00 | grad norm: 0.830 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.064 | TFLOPs: 28.15 | 7: iteration 1100/ 37905 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.965567E+00 | grad norm: 0.921 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.749 | TFLOPs: 27.84 | 7: iteration 1110/ 37905 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.922749E+00 | grad norm: 0.958 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.125 | TFLOPs: 28.26 | 7: iteration 1120/ 37905 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.947286E+00 | grad norm: 0.839 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.745 | TFLOPs: 28.09 | 7: iteration 1130/ 37905 | consumed samples: 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iteration 1160/ 37905 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.886562E+00 | grad norm: 0.825 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.167 | TFLOPs: 27.54 | 7: iteration 1170/ 37905 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.883416E+00 | grad norm: 0.748 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.869 | TFLOPs: 27.94 | 7: iteration 1180/ 37905 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.895024E+00 | grad norm: 0.994 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.923 | TFLOPs: 27.97 | 7: iteration 1190/ 37905 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.899134E+00 | grad norm: 1.026 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1057.276 | TFLOPs: 26.93 | 7: iteration 1200/ 37905 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.863313E+00 | grad norm: 0.785 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.651 | TFLOPs: 27.91 | 7: iteration 1210/ 37905 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.854253E+00 | grad norm: 0.941 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.990 | TFLOPs: 28.25 | 7: iteration 1220/ 37905 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.808827E+00 | grad norm: 0.873 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.183 | TFLOPs: 27.42 | 7: iteration 1230/ 37905 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.859295E+00 | grad norm: 0.772 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.337 | TFLOPs: 27.42 | 7: iteration 1240/ 37905 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.810883E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.951 | TFLOPs: 27.84 | 7: iteration 1250/ 37905 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.812206E+00 | grad norm: 0.889 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.644 | TFLOPs: 27.40 | 7: iteration 1260/ 37905 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.757058E+00 | grad norm: 0.821 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.599 | TFLOPs: 27.94 | 7: iteration 1270/ 37905 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.810760E+00 | grad norm: 0.607 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.760 | TFLOPs: 27.46 | 7: iteration 1280/ 37905 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.800636E+00 | grad norm: 0.684 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.508 | TFLOPs: 27.81 | 7: iteration 1290/ 37905 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.672426E+00 | grad norm: 0.640 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.506 | TFLOPs: 27.55 | 7: iteration 1300/ 37905 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.755058E+00 | grad norm: 0.615 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.565 | TFLOPs: 28.14 | 7: iteration 1310/ 37905 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.735084E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.630 | TFLOPs: 27.71 | 7: iteration 1320/ 37905 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.733319E+00 | grad norm: 0.771 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.501 | TFLOPs: 27.42 | 7: iteration 1330/ 37905 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.731456E+00 | grad norm: 0.722 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1057.220 | TFLOPs: 26.93 | 7: iteration 1340/ 37905 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.25 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.738437E+00 | grad norm: 0.709 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1015.417 | TFLOPs: 25.87 | 7: iteration 1350/ 37905 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.718792E+00 | grad norm: 0.654 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.328 | TFLOPs: 27.78 | 7: iteration 1360/ 37905 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.672389E+00 | grad norm: 0.611 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.440 | TFLOPs: 27.88 | 7: iteration 1370/ 37905 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.709341E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1062.682 | TFLOPs: 27.07 | 7: iteration 1380/ 37905 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.709241E+00 | grad norm: 0.704 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.272 | TFLOPs: 27.75 | 7: iteration 1390/ 37905 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.703123E+00 | grad norm: 0.662 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.743 | TFLOPs: 27.51 | 7: iteration 1400/ 37905 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.740954E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.572 | TFLOPs: 28.16 | 7: iteration 1410/ 37905 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.699905E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.832 | TFLOPs: 28.12 | 7: iteration 1420/ 37905 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.649253E+00 | grad norm: 0.627 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.273 | TFLOPs: 28.44 | 7: iteration 1430/ 37905 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.651698E+00 | grad norm: 0.731 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.052 | TFLOPs: 28.41 | 7: iteration 1440/ 37905 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.676920E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.477 | TFLOPs: 27.78 | 7: iteration 1450/ 37905 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.665928E+00 | grad norm: 0.636 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.961 | TFLOPs: 28.02 | 7: iteration 1460/ 37905 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.24 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.679830E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.634 | TFLOPs: 27.25 | 7: iteration 1470/ 37905 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.638531E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.356 | TFLOPs: 28.03 | 7: iteration 1480/ 37905 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.662076E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.281 | TFLOPs: 28.44 | 7: iteration 1490/ 37905 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.679110E+00 | grad norm: 0.687 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.481 | TFLOPs: 28.21 | 7: iteration 1500/ 37905 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.24 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.652222E+00 | grad norm: 0.882 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1072.725 | TFLOPs: 27.33 | 7: iteration 1510/ 37905 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.654015E+00 | grad norm: 0.676 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.041 | TFLOPs: 27.87 | 7: iteration 1520/ 37905 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.24 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.644724E+00 | grad norm: 0.687 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1052.365 | TFLOPs: 26.81 | 7: iteration 1530/ 37905 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.627812E+00 | grad norm: 0.633 | 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norm: 0.681 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.937 | TFLOPs: 28.20 | 7: iteration 1830/ 37905 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 0.24 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.517875E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.379 | TFLOPs: 27.45 | 7: iteration 1840/ 37905 | consumed samples: 471040 | consumed tokens: 964689920 | elapsed time per iteration (s): 0.24 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.517612E+00 | grad norm: 0.673 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1063.279 | TFLOPs: 27.09 | 7: iteration 1850/ 37905 | consumed samples: 473600 | consumed tokens: 969932800 | elapsed time per iteration (s): 0.23 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.525363E+00 | grad norm: 0.560 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.433 | TFLOPs: 27.80 | 7: iteration 1860/ 37905 | consumed samples: 476160 | consumed tokens: 975175680 | elapsed time per iteration (s): 0.23 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.478180E+00 | grad norm: 0.586 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.505 | TFLOPs: 27.91 | 7: iteration 1870/ 37905 | consumed samples: 478720 | consumed tokens: 980418560 | elapsed time per iteration (s): 0.24 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.491408E+00 | grad norm: 0.694 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.235 | TFLOPs: 27.70 | 7: iteration 1880/ 37905 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 0.24 | learning 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per iteration (s): 0.23 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.520717E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.178 | TFLOPs: 27.85 | 7: iteration 1920/ 37905 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 0.23 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.479749E+00 | grad norm: 0.634 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.039 | TFLOPs: 28.71 | 7: iteration 1930/ 37905 | consumed samples: 494080 | consumed tokens: 1011875840 | elapsed time per iteration (s): 0.24 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.493912E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1068.896 | TFLOPs: 27.23 | 7: iteration 1940/ 37905 | consumed samples: 496640 | consumed tokens: 1017118720 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.480521E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.198 | TFLOPs: 28.08 | 7: iteration 1950/ 37905 | consumed samples: 499200 | consumed tokens: 1022361600 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.463388E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.763 | TFLOPs: 28.04 | 7: iteration 1960/ 37905 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.524513E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.225 | TFLOPs: 28.33 | 7: iteration 1970/ 37905 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.524841E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.302 | TFLOPs: 27.95 | 7: iteration 1980/ 37905 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.25 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.493422E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1040.677 | TFLOPs: 26.51 | 7: iteration 1990/ 37905 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.519088E+00 | grad norm: 0.730 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.475 | TFLOPs: 27.78 | 0: [2022-11-24 17:35:38,534] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00019917259290531361, 0.00019917259290531361, 0.00019917259290531361], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 37905 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.510659E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.396 | TFLOPs: 28.01 | 0: steps: 2000 loss: 3.5882 iter time (s): 0.239 samples/sec: 1069.754 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 2000 | lm loss value: 3.344811E+00 | lm loss PPL: 2.835521E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 2000 to checkpoints_83mwarmup 0: [2022-11-24 17:35:38,622] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2022-11-24 17:35:38,625] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step2000/layer_01-model_00-model_states.pt... 0: [2022-11-24 17:35:38,697] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step2000/layer_01-model_00-model_states.pt. 0: [2022-11-24 17:35:38,697] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step2000/layer_03-model_00-model_states.pt... 0: [2022-11-24 17:35:38,709] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step2000/layer_03-model_00-model_states.pt. 0: [2022-11-24 17:35:38,709] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step2000/layer_04-model_00-model_states.pt... 0: [2022-11-24 17:35:38,720] [INFO] 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[Torch] Saved checkpoints_83mwarmup/global_step2000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 5: [2022-11-24 17:35:38,859] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step2000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 0: [2022-11-24 17:35:38,859] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step2000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 5: [2022-11-24 17:35:38,859] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-24 17:35:38,859] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-24 17:35:38,859] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step2000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 5: [2022-11-24 17:35:38,859] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_83mwarmup/global_step2000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-24 17:35:38,859] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-24 17:35:38,859] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-24 17:35:38,859] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step2000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 4: [2022-11-24 17:35:38,859] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step2000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-24 17:35:38,859] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step2000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-24 17:35:38,859] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is 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skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.170 | TFLOPs: 27.59 | 7: iteration 2040/ 37905 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.24 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.478596E+00 | grad norm: 0.584 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.107 | TFLOPs: 27.67 | 7: iteration 2050/ 37905 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.506161E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.668 | TFLOPs: 27.89 | 7: iteration 2060/ 37905 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.474894E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.457 | TFLOPs: 28.21 | 7: iteration 2070/ 37905 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 0.24 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.451353E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.088 | TFLOPs: 27.39 | 7: iteration 2080/ 37905 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.478845E+00 | grad norm: 0.618 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.845 | TFLOPs: 27.84 | 7: iteration 2090/ 37905 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.466429E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.893 | TFLOPs: 28.02 | 7: iteration 2100/ 37905 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.459021E+00 | grad norm: 0.652 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.480 | TFLOPs: 28.14 | 7: iteration 2110/ 37905 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.441927E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.117 | TFLOPs: 28.20 | 7: iteration 2120/ 37905 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.23 | 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.777 | TFLOPs: 27.76 | 7: iteration 2300/ 37905 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.23 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.434232E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.159 | TFLOPs: 27.87 | 7: iteration 2310/ 37905 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.24 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.452232E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.742 | TFLOPs: 27.66 | 7: iteration 2320/ 37905 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.23 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.442635E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.924 | TFLOPs: 27.79 | 7: iteration 2330/ 37905 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.25 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.369143E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1031.837 | TFLOPs: 26.29 | 7: iteration 2340/ 37905 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.23 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.388519E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.915 | TFLOPs: 28.15 | 7: iteration 2350/ 37905 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.24 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.419736E+00 | grad norm: 0.700 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1053.894 | TFLOPs: 26.85 | 7: iteration 2360/ 37905 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.23 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.436595E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.449 | TFLOPs: 28.11 | 7: iteration 2370/ 37905 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.24 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.443660E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.211 | TFLOPs: 27.57 | 7: iteration 2380/ 37905 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.24 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.420835E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1071.320 | TFLOPs: 27.29 | 7: iteration 2390/ 37905 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.24 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.410199E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.054 | TFLOPs: 27.23 | 7: iteration 2400/ 37905 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.455910E+00 | grad norm: 0.694 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.932 | TFLOPs: 27.94 | 7: iteration 2410/ 37905 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.426592E+00 | grad norm: 0.739 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.643 | TFLOPs: 27.76 | 7: iteration 2420/ 37905 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.413690E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.779 | TFLOPs: 28.50 | 7: iteration 2430/ 37905 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.415315E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.821 | TFLOPs: 27.81 | 7: iteration 2440/ 37905 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.387741E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.072 | TFLOPs: 28.30 | 7: iteration 2450/ 37905 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.24 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.412324E+00 | grad norm: 0.592 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.808 | TFLOPs: 27.74 | 7: iteration 2460/ 37905 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.440095E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.529 | TFLOPs: 28.39 | 7: iteration 2470/ 37905 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.404144E+00 | grad norm: 0.592 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.805 | TFLOPs: 28.30 | 7: iteration 2480/ 37905 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.24 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.381897E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.084 | TFLOPs: 27.69 | 7: iteration 2490/ 37905 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.380764E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.875 | TFLOPs: 28.10 | 7: iteration 2500/ 37905 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.405981E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.817 | TFLOPs: 28.30 | 7: iteration 2510/ 37905 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.419373E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.377 | TFLOPs: 28.39 | 7: iteration 2520/ 37905 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 0.24 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.372435E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.476 | TFLOPs: 27.47 | 7: iteration 2530/ 37905 | consumed samples: 647680 | consumed tokens: 1326448640 | elapsed time per iteration (s): 0.24 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.387007E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.382 | TFLOPs: 27.68 | 7: iteration 2540/ 37905 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 0.24 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.368847E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.068 | TFLOPs: 27.57 | 7: iteration 2550/ 37905 | consumed samples: 652800 | consumed tokens: 1336934400 | elapsed time per iteration (s): 0.23 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.343823E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.726 | TFLOPs: 27.99 | 7: iteration 2560/ 37905 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 0.23 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.368038E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.989 | TFLOPs: 27.77 | 7: iteration 2570/ 37905 | consumed samples: 657920 | consumed tokens: 1347420160 | elapsed time per iteration (s): 0.23 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.379205E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.741 | TFLOPs: 28.32 | 7: iteration 2580/ 37905 | consumed samples: 660480 | consumed tokens: 1352663040 | elapsed time per iteration (s): 0.24 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.385000E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.401 | TFLOPs: 27.70 | 7: iteration 2590/ 37905 | consumed samples: 663040 | consumed tokens: 1357905920 | elapsed time per iteration (s): 0.23 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.406690E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.649 | TFLOPs: 28.17 | 7: iteration 2600/ 37905 | consumed samples: 665600 | consumed tokens: 1363148800 | elapsed time per iteration (s): 0.24 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.353370E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.346 | TFLOPs: 27.65 | 7: iteration 2610/ 37905 | consumed samples: 668160 | consumed tokens: 1368391680 | elapsed time per iteration (s): 0.23 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.394331E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.258 | TFLOPs: 28.28 | 7: iteration 2620/ 37905 | consumed samples: 670720 | consumed tokens: 1373634560 | elapsed time per iteration (s): 0.23 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.403389E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.570 | TFLOPs: 28.11 | 7: iteration 2630/ 37905 | consumed samples: 673280 | consumed tokens: 1378877440 | elapsed time per iteration (s): 0.24 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.377749E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1064.254 | TFLOPs: 27.11 | 7: iteration 2640/ 37905 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 0.24 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.426880E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.265 | TFLOPs: 27.62 | 7: iteration 2650/ 37905 | consumed samples: 678400 | consumed tokens: 1389363200 | elapsed time per iteration (s): 0.24 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.388105E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.521 | TFLOPs: 27.73 | 7: iteration 2660/ 37905 | consumed samples: 680960 | consumed tokens: 1394606080 | elapsed time per iteration (s): 0.23 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.359631E+00 | grad norm: 0.563 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.881 | TFLOPs: 27.76 | 7: iteration 2670/ 37905 | consumed samples: 683520 | consumed tokens: 1399848960 | elapsed time per iteration (s): 0.23 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.368003E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.104 | TFLOPs: 27.87 | 7: iteration 2680/ 37905 | consumed samples: 686080 | consumed tokens: 1405091840 | elapsed time per iteration (s): 0.24 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.332019E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.746 | TFLOPs: 27.69 | 7: iteration 2690/ 37905 | consumed samples: 688640 | consumed tokens: 1410334720 | elapsed time per iteration (s): 0.25 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.354938E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1039.425 | TFLOPs: 26.48 | 7: iteration 2700/ 37905 | consumed samples: 691200 | consumed tokens: 1415577600 | elapsed time per iteration (s): 0.26 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.368497E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 986.286 | TFLOPs: 25.13 | 7: iteration 2710/ 37905 | consumed samples: 693760 | consumed tokens: 1420820480 | elapsed time per iteration (s): 0.25 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.327067E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1024.524 | TFLOPs: 26.10 | 7: iteration 2720/ 37905 | consumed samples: 696320 | consumed tokens: 1426063360 | elapsed time per iteration (s): 0.24 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.389391E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.348 | TFLOPs: 27.55 | 7: iteration 2730/ 37905 | consumed samples: 698880 | consumed tokens: 1431306240 | elapsed time per iteration (s): 0.24 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.350597E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.799 | TFLOPs: 27.56 | 7: iteration 2740/ 37905 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 0.23 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.323260E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.522 | TFLOPs: 28.14 | 7: iteration 2750/ 37905 | consumed samples: 704000 | consumed tokens: 1441792000 | elapsed time per iteration (s): 0.23 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.334314E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.547 | TFLOPs: 27.93 | 7: iteration 2760/ 37905 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 0.23 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.351326E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.389 | TFLOPs: 28.31 | 7: iteration 2770/ 37905 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.23 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.374839E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.326 | TFLOPs: 28.26 | 7: iteration 2780/ 37905 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.23 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.357817E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.069 | TFLOPs: 28.05 | 7: iteration 2790/ 37905 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.23 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.373395E+00 | grad norm: 0.690 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.486 | TFLOPs: 28.04 | 7: iteration 2800/ 37905 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 0.25 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.402264E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1032.186 | TFLOPs: 26.30 | 7: iteration 2810/ 37905 | consumed samples: 719360 | consumed tokens: 1473249280 | elapsed time per iteration (s): 0.23 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.313588E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.027 | TFLOPs: 28.13 | 7: iteration 2820/ 37905 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 0.23 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.392307E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.743 | TFLOPs: 27.84 | 7: iteration 2830/ 37905 | consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 0.23 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.388768E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.203 | TFLOPs: 27.85 | 7: iteration 2840/ 37905 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 0.23 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.341347E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.330 | TFLOPs: 28.23 | 7: iteration 2850/ 37905 | consumed samples: 729600 | consumed tokens: 1494220800 | elapsed time per iteration (s): 0.24 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.358456E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1068.995 | TFLOPs: 27.23 | 7: iteration 2860/ 37905 | consumed samples: 732160 | consumed tokens: 1499463680 | elapsed time per iteration (s): 0.24 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.354280E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.668 | TFLOPs: 27.35 | 7: iteration 2870/ 37905 | consumed samples: 734720 | consumed tokens: 1504706560 | elapsed time per iteration (s): 0.23 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.364089E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.328 | TFLOPs: 27.88 | 7: iteration 2880/ 37905 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 0.23 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.352895E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.003 | TFLOPs: 27.82 | 7: iteration 2890/ 37905 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 0.23 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.331127E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.153 | TFLOPs: 28.41 | 7: iteration 2900/ 37905 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 0.23 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.333151E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.267 | TFLOPs: 27.95 | 7: iteration 2910/ 37905 | consumed samples: 744960 | consumed tokens: 1525678080 | elapsed time per iteration (s): 0.24 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.348591E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.950 | TFLOPs: 27.51 | 7: iteration 2920/ 37905 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 0.23 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.301933E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.113 | TFLOPs: 28.23 | 7: iteration 2930/ 37905 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 0.23 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.299835E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.618 | TFLOPs: 28.09 | 7: iteration 2940/ 37905 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.23 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.312754E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.832 | TFLOPs: 27.76 | 7: iteration 2950/ 37905 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.25 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.305135E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1044.785 | TFLOPs: 26.62 | 7: iteration 2960/ 37905 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.23 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.361068E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.773 | TFLOPs: 28.35 | 7: iteration 2970/ 37905 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.23 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.371080E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.209 | TFLOPs: 27.80 | 7: iteration 2980/ 37905 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.24 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.344653E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.954 | TFLOPs: 27.36 | 7: iteration 2990/ 37905 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.25 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.329876E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1040.828 | TFLOPs: 26.52 | 7: iteration 3000/ 37905 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.24 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 3.329321E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.090 | TFLOPs: 27.57 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 3000 | lm loss value: 3.225346E+00 | lm loss PPL: 2.516229E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 3000 to checkpoints_83mwarmup 0: [2022-11-24 17:39:34,387] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! 0: [2022-11-24 17:39:34,391] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step3000/layer_01-model_00-model_states.pt... 0: [2022-11-24 17:39:34,462] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step3000/layer_01-model_00-model_states.pt. 0: [2022-11-24 17:39:34,463] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step3000/layer_03-model_00-model_states.pt... 0: [2022-11-24 17:39:34,474] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step3000/layer_03-model_00-model_states.pt. 0: [2022-11-24 17:39:34,475] [INFO] [torch_checkpoint_engine.py:15:save] 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iterations: 0 | samples per second: 1109.248 | TFLOPs: 28.26 | 7: iteration 3060/ 37905 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.24 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.357234E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1054.436 | TFLOPs: 26.86 | 7: iteration 3070/ 37905 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.23 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.357756E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.235 | TFLOPs: 28.00 | 7: iteration 3080/ 37905 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.24 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.316644E+00 | grad norm: 0.481 | num zeros: 0.0 | number of 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norm: 0.520 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.018 | TFLOPs: 27.46 | 7: iteration 3120/ 37905 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.23 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.324001E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.497 | TFLOPs: 27.88 | 7: iteration 3130/ 37905 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.24 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.322903E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1065.465 | TFLOPs: 27.14 | 7: iteration 3140/ 37905 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.23 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.285793E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.857 | TFLOPs: 28.07 | 7: iteration 3150/ 37905 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.24 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.336081E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1061.092 | TFLOPs: 27.03 | 7: iteration 3160/ 37905 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.23 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.280671E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.829 | TFLOPs: 27.99 | 7: iteration 3170/ 37905 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.23 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.293306E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.195 | TFLOPs: 28.03 | 7: iteration 3180/ 37905 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.23 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.319167E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.457 | TFLOPs: 28.21 | 7: iteration 3190/ 37905 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.24 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.272573E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.539 | TFLOPs: 27.20 | 7: iteration 3200/ 37905 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.24 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.277349E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.929 | TFLOPs: 27.69 | 7: iteration 3210/ 37905 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.23 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.329422E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.575 | TFLOPs: 27.81 | 7: iteration 3220/ 37905 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.24 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.292890E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.580 | TFLOPs: 27.68 | 7: iteration 3230/ 37905 | consumed samples: 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iteration 3260/ 37905 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.23 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.297374E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.110 | TFLOPs: 27.95 | 7: iteration 3270/ 37905 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.23 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.309179E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.690 | TFLOPs: 27.81 | 7: iteration 3280/ 37905 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.23 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.290936E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.140 | TFLOPs: 28.59 | 7: iteration 3290/ 37905 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.23 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.258034E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.677 | TFLOPs: 28.52 | 7: iteration 3300/ 37905 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.23 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.316338E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.886 | TFLOPs: 27.79 | 7: iteration 3310/ 37905 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.24 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.293585E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.748 | TFLOPs: 27.46 | 7: iteration 3320/ 37905 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.23 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.309897E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.813 | TFLOPs: 28.09 | 7: iteration 3330/ 37905 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.25 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.324463E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1015.296 | TFLOPs: 25.86 | 7: iteration 3340/ 37905 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.25 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.323338E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1010.438 | TFLOPs: 25.74 | 7: iteration 3350/ 37905 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 0.23 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.305214E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.896 | TFLOPs: 27.92 | 7: iteration 3360/ 37905 | consumed samples: 860160 | consumed tokens: 1761607680 | elapsed time per iteration (s): 0.24 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.293302E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.964 | TFLOPs: 27.49 | 7: iteration 3370/ 37905 | consumed samples: 862720 | consumed tokens: 1766850560 | elapsed time per iteration (s): 0.23 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.319292E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.973 | TFLOPs: 27.82 | 7: iteration 3380/ 37905 | consumed samples: 865280 | consumed tokens: 1772093440 | elapsed time per iteration (s): 0.24 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.300365E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.412 | TFLOPs: 27.55 | 7: iteration 3390/ 37905 | consumed samples: 867840 | consumed tokens: 1777336320 | elapsed time per iteration (s): 0.23 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.293758E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.847 | TFLOPs: 27.97 | 7: iteration 3400/ 37905 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 0.23 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.262965E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.836 | TFLOPs: 28.25 | 7: iteration 3410/ 37905 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 0.23 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.327309E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.637 | TFLOPs: 27.86 | 7: iteration 3420/ 37905 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 0.24 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.310369E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.042 | TFLOPs: 27.57 | 7: iteration 3430/ 37905 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 0.25 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.262611E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1012.828 | TFLOPs: 25.80 | 7: iteration 3440/ 37905 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.25 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.233636E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1013.873 | TFLOPs: 25.83 | 7: iteration 3450/ 37905 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.23 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.311255E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.345 | TFLOPs: 28.26 | 7: iteration 3460/ 37905 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.23 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.272720E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.180 | TFLOPs: 27.87 | 7: iteration 3470/ 37905 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.23 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.304507E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.214 | TFLOPs: 28.03 | 7: iteration 3480/ 37905 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.23 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.293633E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.787 | TFLOPs: 27.84 | 7: iteration 3490/ 37905 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.24 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.262733E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.822 | TFLOPs: 27.18 | 7: iteration 3500/ 37905 | consumed samples: 896000 | consumed tokens: 1835008000 | elapsed time per iteration (s): 0.23 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.264101E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.696 | TFLOPs: 27.96 | 7: iteration 3510/ 37905 | consumed samples: 898560 | consumed tokens: 1840250880 | elapsed time per iteration (s): 0.23 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.280214E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.553 | TFLOPs: 28.27 | 7: iteration 3520/ 37905 | consumed samples: 901120 | consumed tokens: 1845493760 | elapsed time per iteration (s): 0.23 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.249370E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.700 | TFLOPs: 28.60 | 7: iteration 3530/ 37905 | consumed samples: 903680 | consumed tokens: 1850736640 | elapsed time per iteration (s): 0.23 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.271638E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.129 | TFLOPs: 28.23 | 7: iteration 3540/ 37905 | consumed samples: 906240 | consumed tokens: 1855979520 | elapsed time per iteration (s): 0.24 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.287141E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.497 | TFLOPs: 27.50 | 7: iteration 3550/ 37905 | consumed samples: 908800 | consumed tokens: 1861222400 | elapsed time per iteration (s): 0.23 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.260040E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.884 | TFLOPs: 27.94 | 7: iteration 3560/ 37905 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.24 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.288232E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.848 | TFLOPs: 27.66 | 7: iteration 3570/ 37905 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.23 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.275059E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.261 | TFLOPs: 28.56 | 7: iteration 3580/ 37905 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.23 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.289432E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.886 | TFLOPs: 28.22 | 7: iteration 3590/ 37905 | consumed samples: 919040 | consumed tokens: 1882193920 | elapsed time per iteration (s): 0.23 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.245114E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.166 | TFLOPs: 28.18 | 7: iteration 3600/ 37905 | consumed samples: 921600 | consumed tokens: 1887436800 | elapsed time per iteration (s): 0.24 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.261886E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.666 | TFLOPs: 27.56 | 7: iteration 3610/ 37905 | consumed samples: 924160 | consumed tokens: 1892679680 | elapsed time per iteration (s): 0.24 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.286680E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.605 | TFLOPs: 27.66 | 7: iteration 3620/ 37905 | consumed samples: 926720 | consumed tokens: 1897922560 | elapsed time per iteration (s): 0.23 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.252233E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.492 | TFLOPs: 28.19 | 7: iteration 3630/ 37905 | consumed samples: 929280 | consumed tokens: 1903165440 | elapsed time per iteration (s): 0.24 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.281817E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1047.186 | TFLOPs: 26.68 | 7: iteration 3640/ 37905 | consumed samples: 931840 | consumed tokens: 1908408320 | elapsed time per iteration (s): 0.23 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.296349E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.570 | TFLOPs: 27.76 | 7: iteration 3650/ 37905 | consumed samples: 934400 | consumed tokens: 1913651200 | elapsed time per iteration (s): 0.23 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.252588E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.415 | TFLOPs: 28.03 | 7: iteration 3660/ 37905 | consumed samples: 936960 | consumed tokens: 1918894080 | elapsed time per iteration (s): 0.23 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.256287E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.338 | TFLOPs: 28.39 | 7: iteration 3670/ 37905 | consumed samples: 939520 | consumed tokens: 1924136960 | elapsed time per iteration (s): 0.24 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.253075E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.591 | TFLOPs: 27.58 | 7: iteration 3680/ 37905 | consumed samples: 942080 | consumed tokens: 1929379840 | elapsed time per iteration (s): 0.24 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.288142E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1065.089 | TFLOPs: 27.13 | 7: iteration 3690/ 37905 | consumed samples: 944640 | consumed tokens: 1934622720 | elapsed time per iteration (s): 0.24 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.281658E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.641 | TFLOPs: 27.66 | 7: iteration 3700/ 37905 | consumed samples: 947200 | consumed tokens: 1939865600 | elapsed time per iteration (s): 0.23 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.256254E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.545 | TFLOPs: 28.29 | 7: iteration 3710/ 37905 | consumed samples: 949760 | consumed tokens: 1945108480 | elapsed time per iteration (s): 0.23 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.270148E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.456 | TFLOPs: 28.31 | 7: iteration 3720/ 37905 | consumed samples: 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iteration 3750/ 37905 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 0.24 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.285625E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.555 | TFLOPs: 27.25 | 7: iteration 3760/ 37905 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 0.24 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.230859E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.383 | TFLOPs: 27.17 | 7: iteration 3770/ 37905 | consumed samples: 965120 | consumed tokens: 1976565760 | elapsed time per iteration (s): 0.24 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.259646E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1070.275 | TFLOPs: 27.27 | 7: iteration 3780/ 37905 | consumed samples: 967680 | consumed tokens: 1981808640 | elapsed time per iteration (s): 0.25 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.256483E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1044.311 | TFLOPs: 26.60 | 7: iteration 3790/ 37905 | consumed samples: 970240 | consumed tokens: 1987051520 | elapsed time per iteration (s): 0.24 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.268745E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.301 | TFLOPs: 27.65 | 7: iteration 3800/ 37905 | consumed samples: 972800 | consumed tokens: 1992294400 | elapsed time per iteration (s): 0.23 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.267503E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | 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iteration (s): 0.23 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.217137E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.599 | TFLOPs: 27.94 | 0: steps: 4000 loss: 3.1587 iter time (s): 0.234 samples/sec: 1093.486 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 4000 | lm loss value: 3.249977E+00 | lm loss PPL: 2.578974E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 4000 to checkpoints_83mwarmup 0: [2022-11-24 17:43:30,753] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2022-11-24 17:43:30,756] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step4000/layer_01-model_00-model_states.pt... 0: [2022-11-24 17:43:30,828] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 3: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 4: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 0: [2022-11-24 17:43:30,990] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 3: [2022-11-24 17:43:30,990] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 0: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 4: [2022-11-24 17:43:30,990] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2022-11-24 17:43:30,990] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-24 17:43:30,990] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-24 17:43:30,990] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2022-11-24 17:43:30,991] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-24 17:43:30,991] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-24 17:43:30,991] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-24 17:43:30,992] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-24 17:43:30,992] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-24 17:43:30,992] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 241.62 7: iteration 4010/ 37905 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.26 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.229859E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 979.447 | TFLOPs: 24.95 | 7: iteration 4020/ 37905 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.24 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.265150E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.306 | TFLOPs: 27.50 | 7: iteration 4030/ 37905 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.23 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.228061E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.791 | TFLOPs: 28.53 | 7: iteration 4040/ 37905 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.24 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.197233E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1048.552 | TFLOPs: 26.71 | 7: iteration 4050/ 37905 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.23 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.209025E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.162 | TFLOPs: 28.08 | 7: iteration 4060/ 37905 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.23 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.254120E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.590 | TFLOPs: 28.27 | 7: iteration 4070/ 37905 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.26 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.259218E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 968.060 | TFLOPs: 24.66 | 7: iteration 4080/ 37905 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.23 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.233247E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.413 | TFLOPs: 27.88 | 7: iteration 4090/ 37905 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.24 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.237945E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1068.277 | TFLOPs: 27.21 | 7: iteration 4100/ 37905 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.23 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.227303E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.973 | TFLOPs: 28.12 | 7: iteration 4110/ 37905 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.24 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.191818E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.939 | TFLOPs: 27.66 | 7: iteration 4120/ 37905 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.23 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.186203E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.982 | TFLOPs: 27.77 | 7: iteration 4130/ 37905 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.24 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.188941E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1074.697 | TFLOPs: 27.38 | 7: iteration 4140/ 37905 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.23 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.211574E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.775 | TFLOPs: 28.40 | 7: iteration 4150/ 37905 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.24 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.229357E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1061.973 | TFLOPs: 27.05 | 7: iteration 4160/ 37905 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.24 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.227612E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.826 | TFLOPs: 27.43 | 7: iteration 4170/ 37905 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.23 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.200491E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.862 | TFLOPs: 28.50 | 7: iteration 4180/ 37905 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 0.25 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.217342E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1016.314 | TFLOPs: 25.89 | 7: iteration 4190/ 37905 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 0.23 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.180805E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.637 | TFLOPs: 27.81 | 7: iteration 4200/ 37905 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 0.23 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.219326E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.295 | TFLOPs: 28.21 | 7: iteration 4210/ 37905 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.23 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.217661E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.386 | TFLOPs: 27.98 | 7: iteration 4220/ 37905 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.23 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.237455E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.750 | TFLOPs: 28.07 | 7: iteration 4230/ 37905 | consumed samples: 1082880 | consumed tokens: 2217738240 | elapsed time per iteration (s): 0.24 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.221994E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.013 | TFLOPs: 27.54 | 7: iteration 4240/ 37905 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 0.23 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.219914E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.166 | TFLOPs: 27.95 | 7: iteration 4250/ 37905 | consumed samples: 1088000 | consumed tokens: 2228224000 | elapsed time per iteration (s): 0.24 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.198939E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.778 | TFLOPs: 27.69 | 7: iteration 4260/ 37905 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.25 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.226716E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1007.747 | TFLOPs: 25.67 | 7: iteration 4270/ 37905 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.24 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.180584E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.003 | TFLOPs: 27.18 | 7: iteration 4280/ 37905 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.25 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.221003E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1042.049 | TFLOPs: 26.55 | 7: iteration 4290/ 37905 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.24 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.204337E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.102 | TFLOPs: 27.69 | 7: iteration 4300/ 37905 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 0.23 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.219611E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.941 | TFLOPs: 28.40 | 7: iteration 4310/ 37905 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 0.23 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.208918E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.824 | TFLOPs: 27.92 | 7: iteration 4320/ 37905 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 0.24 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.204340E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1045.772 | TFLOPs: 26.64 | 7: iteration 4330/ 37905 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 0.24 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.173685E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.846 | TFLOPs: 27.59 | 7: iteration 4340/ 37905 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 0.23 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.241056E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.365 | TFLOPs: 28.01 | 7: iteration 4350/ 37905 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 0.23 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.214471E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.478 | TFLOPs: 28.01 | 7: iteration 4360/ 37905 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.24 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.205213E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.200 | TFLOPs: 27.70 | 7: iteration 4370/ 37905 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.23 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.237239E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.005 | TFLOPs: 27.97 | 7: iteration 4380/ 37905 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.24 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.199581E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.306 | TFLOPs: 27.16 | 7: iteration 4390/ 37905 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.24 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.239264E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1064.757 | TFLOPs: 27.12 | 7: iteration 4400/ 37905 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.23 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.218555E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.777 | TFLOPs: 28.04 | 7: iteration 4410/ 37905 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.24 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.190409E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.008 | TFLOPs: 27.67 | 7: iteration 4420/ 37905 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.24 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.204187E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.518 | TFLOPs: 27.42 | 7: iteration 4430/ 37905 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.23 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.172896E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.951 | TFLOPs: 27.77 | 7: iteration 4440/ 37905 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.24 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.213459E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.801 | TFLOPs: 27.53 | 7: iteration 4450/ 37905 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.24 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.220826E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.524 | TFLOPs: 27.68 | 7: iteration 4460/ 37905 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.23 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.143282E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.326 | TFLOPs: 28.03 | 7: iteration 4470/ 37905 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.24 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.190804E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.342 | TFLOPs: 27.24 | 7: iteration 4480/ 37905 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 0.23 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 3.210661E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.975 | TFLOPs: 28.17 | 7: iteration 4490/ 37905 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 0.24 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 3.162706E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.483 | TFLOPs: 27.55 | 7: iteration 4500/ 37905 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 0.23 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 3.199039E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.639 | TFLOPs: 28.04 | 7: iteration 4510/ 37905 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.24 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 3.174402E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.874 | TFLOPs: 27.69 | 7: iteration 4520/ 37905 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.23 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 3.201194E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.109 | TFLOPs: 28.05 | 7: iteration 4530/ 37905 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.23 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 3.223497E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.633 | TFLOPs: 27.89 | 7: iteration 4540/ 37905 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.24 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 3.206079E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.360 | TFLOPs: 27.52 | 7: iteration 4550/ 37905 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 0.23 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 3.175371E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.751 | TFLOPs: 28.14 | 7: iteration 4560/ 37905 | consumed samples: 1167360 | 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per iteration (s): 0.23 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 3.149524E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.542 | TFLOPs: 28.29 | 7: iteration 5000/ 37905 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.23 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 3.147854E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.409 | TFLOPs: 28.47 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 5000 | lm loss value: 3.139891E+00 | lm loss PPL: 2.310134E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 5000 to checkpoints_83mwarmup 0: [2022-11-24 17:47:26,485] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2022-11-24 17:47:26,489] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step5000/layer_01-model_00-model_states.pt... 0: [2022-11-24 17:47:26,561] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step5000/layer_01-model_00-model_states.pt. 0: [2022-11-24 17:47:26,561] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step5000/layer_03-model_00-model_states.pt... 0: [2022-11-24 17:47:26,573] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step5000/layer_03-model_00-model_states.pt. 0: [2022-11-24 17:47:26,573] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step5000/layer_04-model_00-model_states.pt... 0: [2022-11-24 17:47:26,584] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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| number of nan iterations: 0 | samples per second: 1109.388 | TFLOPs: 28.26 | 7: iteration 5070/ 37905 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.23 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 3.156560E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.014 | TFLOPs: 28.23 | 7: iteration 5080/ 37905 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.23 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 3.180205E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.542 | TFLOPs: 28.37 | 7: iteration 5090/ 37905 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.23 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 3.152669E+00 | grad norm: 0.404 | num 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nan iterations: 0 | samples per second: 1095.789 | TFLOPs: 27.92 | 7: iteration 5300/ 37905 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 0.24 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 3.130025E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.567 | TFLOPs: 27.60 | 7: iteration 5310/ 37905 | consumed samples: 1359360 | consumed tokens: 2783969280 | elapsed time per iteration (s): 0.23 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 3.172147E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.137 | TFLOPs: 28.05 | 7: iteration 5320/ 37905 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 0.24 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 3.143362E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.411 | TFLOPs: 27.70 | 7: iteration 5330/ 37905 | consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 0.24 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 3.145976E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.357 | TFLOPs: 27.70 | 7: iteration 5340/ 37905 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.23 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.176188E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.783 | TFLOPs: 28.25 | 7: iteration 5350/ 37905 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.25 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.115688E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1036.324 | TFLOPs: 26.40 | 7: iteration 5360/ 37905 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 0.24 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.173200E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.274 | TFLOPs: 27.75 | 7: iteration 5370/ 37905 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 0.23 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.157900E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.052 | TFLOPs: 28.07 | 7: iteration 5380/ 37905 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 0.24 | learning rate: 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1113.698 | TFLOPs: 28.37 | 7: iteration 5500/ 37905 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.23 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 3.176630E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.104 | TFLOPs: 28.13 | 7: iteration 5510/ 37905 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 0.24 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.143459E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.029 | TFLOPs: 27.69 | 7: iteration 5520/ 37905 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 0.23 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.172621E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.488 | TFLOPs: 28.54 | 7: iteration 5530/ 37905 | consumed samples: 1415680 | consumed tokens: 2899312640 | elapsed time per iteration (s): 0.23 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.137830E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.199 | TFLOPs: 28.33 | 7: iteration 5540/ 37905 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 0.25 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.181836E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1008.945 | TFLOPs: 25.70 | 7: iteration 5550/ 37905 | consumed samples: 1420800 | consumed tokens: 2909798400 | elapsed time per iteration (s): 0.23 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.145847E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.640 | TFLOPs: 28.22 | 7: iteration 5560/ 37905 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 0.23 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.134041E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.932 | TFLOPs: 28.05 | 7: iteration 5570/ 37905 | consumed samples: 1425920 | consumed tokens: 2920284160 | elapsed time per iteration (s): 0.23 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 3.164763E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.052 | TFLOPs: 27.92 | 7: iteration 5580/ 37905 | consumed samples: 1428480 | consumed tokens: 2925527040 | elapsed time per iteration (s): 0.23 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 3.118325E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.755 | TFLOPs: 28.17 | 7: iteration 5590/ 37905 | consumed samples: 1431040 | consumed tokens: 2930769920 | elapsed time per iteration (s): 0.23 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 3.130318E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.300 | TFLOPs: 27.88 | 7: iteration 5600/ 37905 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 0.24 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.115401E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1070.067 | TFLOPs: 27.26 | 7: iteration 5610/ 37905 | consumed samples: 1436160 | consumed tokens: 2941255680 | elapsed time per iteration (s): 0.24 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.173791E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1068.113 | TFLOPs: 27.21 | 7: iteration 5620/ 37905 | consumed samples: 1438720 | consumed tokens: 2946498560 | elapsed time per iteration (s): 0.23 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.121162E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.531 | TFLOPs: 28.27 | 7: iteration 5630/ 37905 | consumed samples: 1441280 | consumed tokens: 2951741440 | elapsed time per iteration (s): 0.23 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 3.178117E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.855 | TFLOPs: 27.82 | 7: iteration 5640/ 37905 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 0.23 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 3.086931E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.691 | TFLOPs: 28.50 | 7: iteration 5650/ 37905 | consumed samples: 1446400 | consumed tokens: 2962227200 | elapsed time per iteration (s): 0.23 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 3.141765E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.201 | TFLOPs: 28.23 | 7: iteration 5660/ 37905 | consumed samples: 1448960 | consumed tokens: 2967470080 | elapsed time per iteration (s): 0.23 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 3.119721E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.640 | TFLOPs: 28.32 | 7: iteration 5670/ 37905 | consumed samples: 1451520 | 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5700/ 37905 | consumed samples: 1459200 | consumed tokens: 2988441600 | elapsed time per iteration (s): 0.23 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 3.163567E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.140 | TFLOPs: 28.33 | 7: iteration 5710/ 37905 | consumed samples: 1461760 | consumed tokens: 2993684480 | elapsed time per iteration (s): 0.23 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 3.131371E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.725 | TFLOPs: 28.02 | 7: iteration 5720/ 37905 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 0.23 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 3.112828E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.687 | TFLOPs: 27.94 | 7: iteration 5730/ 37905 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 0.23 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 3.162371E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.006 | TFLOPs: 28.12 | 7: iteration 5740/ 37905 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 0.24 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 3.129977E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.644 | TFLOPs: 27.73 | 7: iteration 5750/ 37905 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 0.24 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 3.091873E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.300 | TFLOPs: 27.34 | 7: iteration 5760/ 37905 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 0.23 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 3.125227E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.465 | TFLOPs: 28.01 | 7: iteration 5770/ 37905 | consumed samples: 1477120 | consumed tokens: 3025141760 | elapsed time per iteration (s): 0.23 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 3.119665E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.160 | TFLOPs: 28.03 | 7: iteration 5780/ 37905 | consumed samples: 1479680 | consumed tokens: 3030384640 | elapsed time per iteration (s): 0.23 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 3.117194E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.197 | TFLOPs: 27.77 | 7: iteration 5790/ 37905 | consumed samples: 1482240 | consumed tokens: 3035627520 | elapsed time per iteration (s): 0.23 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.134533E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.486 | TFLOPs: 28.29 | 7: iteration 5800/ 37905 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 0.24 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.155931E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1068.713 | TFLOPs: 27.23 | 7: iteration 5810/ 37905 | consumed samples: 1487360 | consumed tokens: 3046113280 | elapsed time per iteration (s): 0.23 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.121409E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.150 | TFLOPs: 27.92 | 7: iteration 5820/ 37905 | consumed samples: 1489920 | consumed tokens: 3051356160 | elapsed time per iteration (s): 0.23 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 3.150065E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.328 | TFLOPs: 28.11 | 7: iteration 5830/ 37905 | consumed samples: 1492480 | consumed tokens: 3056599040 | elapsed time per iteration (s): 0.23 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 3.118273E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.838 | TFLOPs: 28.02 | 7: iteration 5840/ 37905 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 0.23 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 3.133770E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.431 | TFLOPs: 28.44 | 7: iteration 5850/ 37905 | consumed samples: 1497600 | consumed tokens: 3067084800 | elapsed time per iteration (s): 0.23 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.141811E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.421 | TFLOPs: 27.96 | 7: iteration 5860/ 37905 | consumed samples: 1500160 | consumed tokens: 3072327680 | elapsed time per iteration (s): 0.23 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.131412E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.797 | TFLOPs: 27.92 | 7: iteration 5870/ 37905 | consumed samples: 1502720 | consumed tokens: 3077570560 | elapsed time per iteration (s): 0.23 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.133404E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.453 | TFLOPs: 28.09 | 7: iteration 5880/ 37905 | consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 0.23 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.131941E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.706 | TFLOPs: 28.14 | 7: iteration 5890/ 37905 | consumed samples: 1507840 | consumed tokens: 3088056320 | elapsed time per iteration (s): 0.24 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.087242E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1053.208 | TFLOPs: 26.83 | 7: iteration 5900/ 37905 | consumed samples: 1510400 | consumed tokens: 3093299200 | elapsed time per iteration (s): 0.26 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.100327E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 978.040 | TFLOPs: 24.92 | 7: iteration 5910/ 37905 | consumed samples: 1512960 | consumed tokens: 3098542080 | elapsed time per iteration (s): 0.23 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 3.126208E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.188 | TFLOPs: 27.87 | 7: iteration 5920/ 37905 | consumed samples: 1515520 | consumed tokens: 3103784960 | elapsed time per iteration (s): 0.23 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 3.145871E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.942 | TFLOPs: 27.84 | 7: iteration 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1094.031 | TFLOPs: 27.87 | 7: iteration 5960/ 37905 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 0.23 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 3.133936E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.904 | TFLOPs: 28.58 | 7: iteration 5970/ 37905 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 0.24 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 3.169403E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.037 | TFLOPs: 27.41 | 7: iteration 5980/ 37905 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 0.23 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 3.129650E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.613 | TFLOPs: 28.37 | 7: iteration 5990/ 37905 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 0.26 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 3.141979E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 968.328 | TFLOPs: 24.67 | 0: [2022-11-24 17:51:21,210] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00019021778213052494, 0.00019021778213052494, 0.00019021778213052494], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 6000/ 37905 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 0.23 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 3.124020E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.844 | TFLOPs: 27.97 | 0: steps: 6000 loss: 3.1437 iter time (s): 0.233 samples/sec: 1098.025 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 6000 | lm loss value: 3.099656E+00 | lm loss PPL: 2.219032E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 6000 to checkpoints_83mwarmup 0: [2022-11-24 17:51:21,300] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save! 0: [2022-11-24 17:51:21,303] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step6000/layer_01-model_00-model_states.pt... 0: [2022-11-24 17:51:21,376] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step6000/layer_01-model_00-model_states.pt. 0: [2022-11-24 17:51:21,376] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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1.901E-04 | global batch size: 256 | lm loss: 3.160659E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.443 | TFLOPs: 28.21 | 7: iteration 6050/ 37905 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 0.25 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 3.096335E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1035.245 | TFLOPs: 26.37 | 7: iteration 6060/ 37905 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 0.23 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 3.107340E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.235 | TFLOPs: 27.85 | 7: iteration 6070/ 37905 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.23 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 3.141997E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.160 | TFLOPs: 28.43 | 7: iteration 6080/ 37905 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.23 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 3.131328E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.628 | TFLOPs: 28.65 | 7: iteration 6090/ 37905 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 0.23 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 3.114321E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.137 | TFLOPs: 28.03 | 7: iteration 6100/ 37905 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 0.23 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 3.136261E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.916 | TFLOPs: 28.43 | 7: iteration 6110/ 37905 | consumed samples: 1564160 | consumed tokens: 3203399680 | elapsed time per iteration (s): 0.24 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 3.104573E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.676 | TFLOPs: 27.66 | 7: iteration 6120/ 37905 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 0.24 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 3.085555E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.978 | TFLOPs: 27.67 | 7: iteration 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1102.974 | TFLOPs: 28.10 | 7: iteration 6160/ 37905 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 0.23 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 3.097609E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.489 | TFLOPs: 28.29 | 7: iteration 6170/ 37905 | consumed samples: 1579520 | consumed tokens: 3234856960 | elapsed time per iteration (s): 0.24 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 3.106508E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.620 | TFLOPs: 27.63 | 7: iteration 6180/ 37905 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 0.24 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 3.092809E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1052.109 | TFLOPs: 26.80 | 7: iteration 6190/ 37905 | consumed samples: 1584640 | consumed tokens: 3245342720 | elapsed time per iteration (s): 0.23 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 3.130408E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.204 | TFLOPs: 28.28 | 7: iteration 6200/ 37905 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 0.24 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 3.115472E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.202 | TFLOPs: 27.62 | 7: iteration 6210/ 37905 | consumed samples: 1589760 | consumed tokens: 3255828480 | elapsed time per iteration (s): 0.23 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 3.150747E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.812 | TFLOPs: 27.97 | 7: iteration 6220/ 37905 | consumed samples: 1592320 | consumed tokens: 3261071360 | elapsed time per iteration (s): 0.23 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 3.129216E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.297 | TFLOPs: 28.11 | 7: iteration 6230/ 37905 | consumed samples: 1594880 | consumed tokens: 3266314240 | elapsed time per iteration (s): 0.24 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 3.144906E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.419 | TFLOPs: 27.50 | 7: iteration 6240/ 37905 | consumed samples: 1597440 | consumed tokens: 3271557120 | elapsed time per iteration (s): 0.23 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 3.141883E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.296 | TFLOPs: 27.78 | 7: iteration 6250/ 37905 | consumed samples: 1600000 | consumed tokens: 3276800000 | elapsed time per iteration (s): 0.23 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 3.101131E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.520 | TFLOPs: 28.27 | 7: iteration 6260/ 37905 | consumed samples: 1602560 | consumed tokens: 3282042880 | elapsed time per iteration (s): 0.23 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 3.134605E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.862 | TFLOPs: 28.22 | 7: iteration 6270/ 37905 | consumed samples: 1605120 | consumed tokens: 3287285760 | elapsed time per iteration (s): 0.23 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 3.106921E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.390 | TFLOPs: 28.31 | 7: iteration 6280/ 37905 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 0.23 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 3.104113E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.072 | TFLOPs: 28.36 | 7: iteration 6290/ 37905 | consumed samples: 1610240 | consumed tokens: 3297771520 | elapsed time per iteration (s): 0.23 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 3.094074E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.628 | TFLOPs: 27.81 | 7: iteration 6300/ 37905 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 0.23 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 3.105329E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.391 | TFLOPs: 28.26 | 7: iteration 6310/ 37905 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 0.23 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 3.091717E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.604 | TFLOPs: 28.62 | 7: iteration 6320/ 37905 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 0.23 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 3.112076E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.225 | TFLOPs: 28.31 | 7: iteration 6330/ 37905 | consumed samples: 1620480 | consumed tokens: 3318743040 | elapsed time per iteration (s): 0.24 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 3.150339E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.582 | TFLOPs: 27.68 | 7: iteration 6340/ 37905 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 0.24 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 3.069298E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.882 | TFLOPs: 27.69 | 7: iteration 6350/ 37905 | consumed samples: 1625600 | consumed tokens: 3329228800 | elapsed time per iteration (s): 0.23 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 3.111796E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.044 | TFLOPs: 27.77 | 7: iteration 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1101.007 | TFLOPs: 28.05 | 7: iteration 6390/ 37905 | consumed samples: 1635840 | consumed tokens: 3350200320 | elapsed time per iteration (s): 0.23 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 3.101039E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.338 | TFLOPs: 28.24 | 7: iteration 6400/ 37905 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 0.23 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 3.098918E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.357 | TFLOPs: 28.08 | 7: iteration 6410/ 37905 | consumed samples: 1640960 | consumed tokens: 3360686080 | elapsed time per iteration (s): 0.24 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 3.127252E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1064.313 | TFLOPs: 27.11 | 7: iteration 6420/ 37905 | consumed samples: 1643520 | consumed tokens: 3365928960 | elapsed time per iteration (s): 0.24 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 3.079725E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.199 | TFLOPs: 27.57 | 7: iteration 6430/ 37905 | consumed samples: 1646080 | consumed tokens: 3371171840 | elapsed time per iteration (s): 0.23 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 3.103532E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.524 | TFLOPs: 28.11 | 7: iteration 6440/ 37905 | consumed samples: 1648640 | consumed tokens: 3376414720 | elapsed time per iteration (s): 0.23 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 3.110803E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.631 | TFLOPs: 27.91 | 7: iteration 6450/ 37905 | consumed samples: 1651200 | consumed tokens: 3381657600 | elapsed time per iteration (s): 0.23 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 3.101476E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.703 | TFLOPs: 28.04 | 7: iteration 6460/ 37905 | consumed samples: 1653760 | consumed tokens: 3386900480 | elapsed time per iteration (s): 0.24 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 3.059232E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.534 | TFLOPs: 27.71 | 7: iteration 6470/ 37905 | consumed samples: 1656320 | consumed tokens: 3392143360 | elapsed time per iteration (s): 0.23 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 3.080358E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.702 | TFLOPs: 27.79 | 7: iteration 6480/ 37905 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 0.23 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 3.113165E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.138 | TFLOPs: 28.03 | 7: iteration 6490/ 37905 | consumed samples: 1661440 | consumed tokens: 3402629120 | elapsed time per iteration (s): 0.23 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 3.092331E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.671 | TFLOPs: 28.04 | 7: iteration 6500/ 37905 | consumed samples: 1664000 | consumed tokens: 3407872000 | elapsed time per iteration (s): 0.23 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 3.069866E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.656 | TFLOPs: 28.45 | 7: iteration 6510/ 37905 | consumed samples: 1666560 | consumed tokens: 3413114880 | elapsed time per iteration (s): 0.23 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 3.105043E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.426 | TFLOPs: 28.14 | 7: iteration 6520/ 37905 | consumed samples: 1669120 | consumed tokens: 3418357760 | elapsed time per iteration (s): 0.23 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 3.115001E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.713 | TFLOPs: 27.94 | 7: iteration 6530/ 37905 | consumed samples: 1671680 | consumed tokens: 3423600640 | elapsed time per iteration (s): 0.23 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 3.076981E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.176 | TFLOPs: 27.93 | 7: iteration 6540/ 37905 | consumed samples: 1674240 | consumed tokens: 3428843520 | elapsed time per iteration (s): 0.26 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 3.083663E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 977.844 | TFLOPs: 24.91 | 7: iteration 6550/ 37905 | consumed samples: 1676800 | consumed tokens: 3434086400 | elapsed time per iteration (s): 0.23 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 3.115203E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.434 | TFLOPs: 28.14 | 7: iteration 6560/ 37905 | consumed samples: 1679360 | consumed tokens: 3439329280 | elapsed time per iteration (s): 0.24 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 3.099006E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.421 | TFLOPs: 27.55 | 7: iteration 6570/ 37905 | consumed samples: 1681920 | consumed tokens: 3444572160 | elapsed time per iteration (s): 0.23 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 3.098707E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.522 | TFLOPs: 27.91 | 7: iteration 6580/ 37905 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 0.23 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 3.111424E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.341 | TFLOPs: 28.08 | 7: iteration 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1089.720 | TFLOPs: 27.76 | 7: iteration 6620/ 37905 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 0.23 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 3.071028E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.399 | TFLOPs: 28.11 | 7: iteration 6630/ 37905 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 0.26 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 3.104608E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 968.407 | TFLOPs: 24.67 | 7: iteration 6640/ 37905 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 0.24 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 3.069159E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.336 | TFLOPs: 27.75 | 7: iteration 6650/ 37905 | consumed samples: 1702400 | consumed tokens: 3486515200 | elapsed time per iteration (s): 0.23 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 3.057125E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.351 | TFLOPs: 28.06 | 7: iteration 6660/ 37905 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 0.23 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 3.116916E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.098 | TFLOPs: 28.00 | 7: iteration 6670/ 37905 | consumed samples: 1707520 | consumed tokens: 3497000960 | elapsed time per iteration (s): 0.23 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 3.076112E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.331 | TFLOPs: 28.06 | 7: iteration 6680/ 37905 | consumed samples: 1710080 | consumed tokens: 3502243840 | elapsed time per iteration (s): 0.23 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 3.070951E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.929 | TFLOPs: 28.40 | 7: iteration 6690/ 37905 | consumed samples: 1712640 | consumed tokens: 3507486720 | elapsed time per iteration (s): 0.25 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 3.088209E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1019.291 | TFLOPs: 25.97 | 7: iteration 6700/ 37905 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 0.23 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 3.095992E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.133 | TFLOPs: 27.85 | 7: iteration 6710/ 37905 | consumed samples: 1717760 | consumed tokens: 3517972480 | elapsed time per iteration (s): 0.24 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 3.114751E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1070.343 | TFLOPs: 27.27 | 7: iteration 6720/ 37905 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 0.23 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 3.071461E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.709 | TFLOPs: 28.14 | 7: iteration 6730/ 37905 | consumed samples: 1722880 | consumed tokens: 3528458240 | elapsed time per iteration (s): 0.23 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 3.116291E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.372 | TFLOPs: 28.06 | 7: iteration 6740/ 37905 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 0.24 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 3.092558E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.134 | TFLOPs: 27.62 | 7: iteration 6750/ 37905 | consumed samples: 1728000 | consumed tokens: 3538944000 | elapsed time per iteration (s): 0.23 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 3.068890E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.522 | TFLOPs: 28.24 | 7: iteration 6760/ 37905 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time per iteration (s): 0.24 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 3.090360E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1047.107 | TFLOPs: 26.68 | 7: iteration 6770/ 37905 | consumed samples: 1733120 | consumed tokens: 3549429760 | elapsed time per iteration (s): 0.25 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 3.046799E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1013.053 | TFLOPs: 25.81 | 7: iteration 6780/ 37905 | consumed samples: 1735680 | consumed tokens: 3554672640 | elapsed time per iteration (s): 0.24 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 3.059064E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.504 | TFLOPs: 27.73 | 7: iteration 6790/ 37905 | consumed samples: 1738240 | consumed tokens: 3559915520 | elapsed time per iteration (s): 0.23 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 3.088246E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.350 | TFLOPs: 28.21 | 7: iteration 6800/ 37905 | consumed samples: 1740800 | consumed tokens: 3565158400 | elapsed time per iteration (s): 0.23 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 3.137558E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.003 | TFLOPs: 28.28 | 7: iteration 6810/ 37905 | consumed samples: 1743360 | consumed tokens: 3570401280 | elapsed time per iteration (s): 0.23 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 3.076385E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.238 | TFLOPs: 28.23 | 7: iteration 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1.867E-04 | global batch size: 256 | lm loss: 3.117019E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.785 | TFLOPs: 27.79 | 7: iteration 6970/ 37905 | consumed samples: 1784320 | consumed tokens: 3654287360 | elapsed time per iteration (s): 0.23 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 3.062360E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.212 | TFLOPs: 28.51 | 7: iteration 6980/ 37905 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 0.23 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 3.044524E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.409 | TFLOPs: 28.01 | 7: iteration 6990/ 37905 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 0.23 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 3.106810E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.765 | TFLOPs: 28.22 | 7: iteration 7000/ 37905 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 0.23 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 3.091973E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.450 | TFLOPs: 28.14 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 7000 | lm loss value: 3.000569E+00 | lm loss PPL: 2.009698E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 7000 to checkpoints_83mwarmup 0: [2022-11-24 17:55:16,378] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2022-11-24 17:55:16,381] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step7000/layer_01-model_00-model_states.pt... 0: [2022-11-24 17:55:16,455] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step7000/layer_01-model_00-model_states.pt. 0: [2022-11-24 17:55:16,456] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step7000/layer_03-model_00-model_states.pt... 0: [2022-11-24 17:55:16,469] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step7000/layer_03-model_00-model_states.pt. 0: [2022-11-24 17:55:16,469] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step7000/layer_04-model_00-model_states.pt... 0: [2022-11-24 17:55:16,480] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_83mwarmup/global_step7000/layer_14-model_00-model_states.pt. 0: [2022-11-24 17:55:16,569] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83mwarmup/global_step7000/mp_rank_00_model_states.pt 0: [2022-11-24 17:55:16,569] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step7000/mp_rank_00_model_states.pt... 0: [2022-11-24 17:55:16,571] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step7000/mp_rank_00_model_states.pt. 0: [2022-11-24 17:55:16,588] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step7000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt... 2: [2022-11-24 17:55:16,588] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step7000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt... 2: [2022-11-24 17:55:16,588] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_83mwarmup/global_step7000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-24 17:55:16,617] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 6: [2022-11-24 17:55:16,617] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step7000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 3: [2022-11-24 17:55:16,617] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step7000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 6: [2022-11-24 17:55:16,617] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step7000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-24 17:55:16,617] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-24 17:55:16,617] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-24 17:55:16,618] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-24 17:55:16,619] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step7000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-24 17:55:16,619] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step7000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-24 17:55:16,619] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 1: [2022-11-24 17:55:16,620] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step7000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-24 17:55:16,620] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step7000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-24 17:55:16,620] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: successfully saved checkpoint at iteration 7000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 245.80 7: iteration 7010/ 37905 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 0.26 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 3.062932E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 984.836 | TFLOPs: 25.09 | 7: iteration 7020/ 37905 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.23 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 3.122842E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.310 | TFLOPs: 28.13 | 7: iteration 7030/ 37905 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.23 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 3.053186E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.286 | TFLOPs: 28.03 | 7: iteration 7040/ 37905 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.24 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 3.096690E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.729 | TFLOPs: 27.53 | 7: iteration 7050/ 37905 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 0.23 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 3.095950E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.248 | TFLOPs: 27.83 | 7: iteration 7060/ 37905 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 0.23 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 3.066134E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.243 | TFLOPs: 28.51 | 7: iteration 7070/ 37905 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 0.23 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 3.081711E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.415 | TFLOPs: 28.21 | 7: iteration 7080/ 37905 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.24 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 3.062442E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.400 | TFLOPs: 27.57 | 7: iteration 7090/ 37905 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.23 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 3.084297E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.340 | TFLOPs: 27.88 | 7: iteration 7100/ 37905 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 0.23 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 3.047364E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.668 | TFLOPs: 27.76 | 7: iteration 7110/ 37905 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 0.23 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 3.108443E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.479 | TFLOPs: 28.06 | 7: iteration 7120/ 37905 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 0.23 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 3.070238E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.917 | TFLOPs: 28.17 | 7: iteration 7130/ 37905 | consumed samples: 1825280 | consumed tokens: 3738173440 | elapsed time per iteration (s): 0.23 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 3.092341E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.237 | TFLOPs: 28.18 | 7: iteration 7140/ 37905 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 0.23 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 3.070195E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.779 | TFLOPs: 27.97 | 7: iteration 7150/ 37905 | consumed samples: 1830400 | consumed tokens: 3748659200 | elapsed time per iteration (s): 0.23 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 3.077538E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.279 | TFLOPs: 28.18 | 7: iteration 7160/ 37905 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.23 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 3.102499E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.091 | TFLOPs: 28.28 | 7: iteration 7170/ 37905 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.23 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 3.103273E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.474 | TFLOPs: 28.44 | 7: iteration 7180/ 37905 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.25 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 3.083895E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1038.526 | TFLOPs: 26.46 | 7: iteration 7190/ 37905 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 0.23 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 3.055134E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.337 | TFLOPs: 27.83 | 7: iteration 7200/ 37905 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 0.23 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 3.060328E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.783 | TFLOPs: 28.32 | 7: iteration 7210/ 37905 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 0.23 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 3.082464E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.920 | TFLOPs: 27.77 | 7: iteration 7220/ 37905 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 0.23 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 3.074412E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.984 | TFLOPs: 28.07 | 7: iteration 7230/ 37905 | consumed samples: 1850880 | consumed tokens: 3790602240 | elapsed time per iteration (s): 0.23 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 3.082834E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.366 | TFLOPs: 28.44 | 7: iteration 7240/ 37905 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 0.23 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 3.093212E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.884 | TFLOPs: 27.92 | 7: iteration 7250/ 37905 | consumed samples: 1856000 | consumed tokens: 3801088000 | elapsed time per iteration (s): 0.23 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 3.108492E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.104 | TFLOPs: 28.31 | 7: iteration 7260/ 37905 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 0.24 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 3.048318E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.981 | TFLOPs: 27.74 | 7: iteration 7270/ 37905 | consumed samples: 1861120 | consumed tokens: 3811573760 | elapsed time per iteration (s): 0.24 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 3.090592E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1052.203 | TFLOPs: 26.81 | 7: iteration 7280/ 37905 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 0.24 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 3.100682E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.303 | TFLOPs: 27.19 | 7: iteration 7290/ 37905 | consumed samples: 1866240 | consumed tokens: 3822059520 | elapsed time per iteration (s): 0.23 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 3.086957E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.109 | TFLOPs: 28.28 | 7: iteration 7300/ 37905 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 0.23 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 3.095177E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.277 | TFLOPs: 27.93 | 7: iteration 7310/ 37905 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 0.23 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 3.078053E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.005 | TFLOPs: 28.38 | 7: iteration 7320/ 37905 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 0.23 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 3.066059E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.910 | TFLOPs: 27.97 | 7: iteration 7330/ 37905 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 0.24 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 3.083814E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.681 | TFLOPs: 27.58 | 7: iteration 7340/ 37905 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 0.23 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 3.048046E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.319 | TFLOPs: 28.49 | 7: iteration 7350/ 37905 | consumed samples: 1881600 | consumed tokens: 3853516800 | elapsed time per iteration (s): 0.23 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 3.066238E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.423 | TFLOPs: 28.01 | 7: iteration 7360/ 37905 | consumed samples: 1884160 | consumed tokens: 3858759680 | elapsed time per iteration (s): 0.24 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 3.089478E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.975 | TFLOPs: 27.72 | 7: iteration 7370/ 37905 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 0.23 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 3.068905E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.599 | TFLOPs: 27.96 | 7: iteration 7380/ 37905 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 0.23 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 3.071921E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.404 | TFLOPs: 28.47 | 7: iteration 7390/ 37905 | consumed samples: 1891840 | consumed tokens: 3874488320 | elapsed time per iteration (s): 0.23 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 3.038282E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.166 | TFLOPs: 28.51 | 7: iteration 7400/ 37905 | consumed samples: 1894400 | consumed tokens: 3879731200 | elapsed time per iteration (s): 0.23 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 3.080505E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.941 | TFLOPs: 28.20 | 7: iteration 7410/ 37905 | consumed samples: 1896960 | consumed tokens: 3884974080 | elapsed time per iteration (s): 0.23 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 3.090693E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.420 | TFLOPs: 28.26 | 7: iteration 7420/ 37905 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 0.23 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 3.037785E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.611 | TFLOPs: 27.94 | 7: iteration 7430/ 37905 | consumed samples: 1902080 | consumed tokens: 3895459840 | elapsed time per iteration (s): 0.23 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 3.070300E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.195 | TFLOPs: 27.90 | 7: iteration 7440/ 37905 | consumed samples: 1904640 | consumed tokens: 3900702720 | elapsed time per iteration (s): 0.23 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 3.018338E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.874 | TFLOPs: 28.02 | 7: iteration 7450/ 37905 | consumed samples: 1907200 | consumed tokens: 3905945600 | elapsed time per iteration (s): 0.23 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 3.068329E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.119 | TFLOPs: 27.97 | 7: iteration 7460/ 37905 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 0.23 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 3.080618E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.576 | TFLOPs: 28.06 | 7: iteration 7470/ 37905 | consumed samples: 1912320 | consumed tokens: 3916431360 | elapsed time per iteration (s): 0.25 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 3.039250E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1027.803 | TFLOPs: 26.18 | 7: iteration 7480/ 37905 | consumed samples: 1914880 | consumed tokens: 3921674240 | elapsed time per iteration (s): 0.23 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 3.042874E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.338 | TFLOPs: 27.95 | 7: iteration 7490/ 37905 | consumed samples: 1917440 | consumed tokens: 3926917120 | elapsed time per iteration (s): 0.23 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 3.076409E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.694 | TFLOPs: 28.40 | 7: iteration 7500/ 37905 | consumed samples: 1920000 | consumed tokens: 3932160000 | elapsed time per iteration (s): 0.23 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 3.034535E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.328 | TFLOPs: 28.16 | 7: iteration 7510/ 37905 | consumed samples: 1922560 | consumed tokens: 3937402880 | elapsed time per iteration (s): 0.23 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 3.040278E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.873 | TFLOPs: 28.20 | 7: iteration 7520/ 37905 | consumed samples: 1925120 | consumed tokens: 3942645760 | elapsed time per iteration (s): 0.25 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 3.091012E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1041.402 | TFLOPs: 26.53 | 7: iteration 7530/ 37905 | consumed samples: 1927680 | consumed tokens: 3947888640 | elapsed time per iteration (s): 0.23 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 3.094757E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.058 | TFLOPs: 28.38 | 7: iteration 7540/ 37905 | consumed samples: 1930240 | consumed tokens: 3953131520 | elapsed time per iteration (s): 0.23 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 3.077007E+00 | grad norm: 0.320 | num zeros: 0.0 | number 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grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.103 | TFLOPs: 27.75 | 7: iteration 7580/ 37905 | consumed samples: 1940480 | consumed tokens: 3974103040 | elapsed time per iteration (s): 0.23 | learning rate: 1.841E-04 | global batch size: 256 | lm loss: 3.085217E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.327 | TFLOPs: 28.31 | 7: iteration 7590/ 37905 | consumed samples: 1943040 | consumed tokens: 3979345920 | elapsed time per iteration (s): 0.23 | learning rate: 1.841E-04 | global batch size: 256 | lm loss: 3.089326E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.142 | TFLOPs: 28.20 | 7: iteration 7600/ 37905 | consumed samples: 1945600 | consumed tokens: 3984588800 | elapsed time per iteration (s): 0.23 | learning rate: 1.840E-04 | global 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batch size: 256 | lm loss: 3.043993E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1035.371 | TFLOPs: 26.38 | 7: iteration 7840/ 37905 | consumed samples: 2007040 | consumed tokens: 4110417920 | elapsed time per iteration (s): 0.24 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 3.043685E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.310 | TFLOPs: 27.75 | 7: iteration 7850/ 37905 | consumed samples: 2009600 | consumed tokens: 4115660800 | elapsed time per iteration (s): 0.24 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 3.088550E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.205 | TFLOPs: 27.47 | 7: iteration 7860/ 37905 | consumed samples: 2012160 | consumed tokens: 4120903680 | elapsed time per iteration (s): 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consumed samples: 2027520 | consumed tokens: 4152360960 | elapsed time per iteration (s): 0.24 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 3.034836E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1057.231 | TFLOPs: 26.93 | 7: iteration 7930/ 37905 | consumed samples: 2030080 | consumed tokens: 4157603840 | elapsed time per iteration (s): 0.23 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 3.085304E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.134 | TFLOPs: 27.92 | 7: iteration 7940/ 37905 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 0.23 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 3.018789E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.998 | 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iterations: 0 | samples per second: 1089.093 | TFLOPs: 27.74 | 7: iteration 7980/ 37905 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 0.23 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 3.054760E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.471 | TFLOPs: 28.44 | 7: iteration 7990/ 37905 | consumed samples: 2045440 | consumed tokens: 4189061120 | elapsed time per iteration (s): 0.24 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 3.096085E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1068.768 | TFLOPs: 27.23 | 0: [2022-11-24 17:59:10,296] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[0.00018229552592396328, 0.00018229552592396328, 0.00018229552592396328], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 8000/ 37905 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 0.23 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 3.053482E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.136 | TFLOPs: 28.54 | 0: steps: 8000 loss: 3.0442 iter time (s): 0.232 samples/sec: 1101.423 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 8000 | lm loss value: 2.975821E+00 | lm loss PPL: 1.960572E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 8000 to checkpoints_83mwarmup 0: [2022-11-24 17:59:10,387] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save! 0: [2022-11-24 17:59:10,390] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_83mwarmup/global_step8000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 6: [2022-11-24 17:59:10,613] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step8000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 0: [2022-11-24 17:59:10,613] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 1: [2022-11-24 17:59:10,613] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 6: [2022-11-24 17:59:10,613] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: [2022-11-24 17:59:10,613] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step8000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-24 17:59:10,613] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 2: [2022-11-24 17:59:10,614] [INFO] 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elapsed time per iteration (s): 0.27 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 3.084710E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 944.551 | TFLOPs: 24.06 | 7: iteration 8020/ 37905 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 0.24 | learning rate: 1.822E-04 | global batch size: 256 | lm loss: 3.045537E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.127 | TFLOPs: 27.59 | 7: iteration 8030/ 37905 | consumed samples: 2055680 | consumed tokens: 4210032640 | elapsed time per iteration (s): 0.24 | learning rate: 1.822E-04 | global batch size: 256 | lm loss: 3.030895E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.420 | TFLOPs: 27.17 | 7: iteration 8040/ 37905 | consumed samples: 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iteration 8070/ 37905 | consumed samples: 2065920 | consumed tokens: 4231004160 | elapsed time per iteration (s): 0.24 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 3.035948E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.858 | TFLOPs: 27.64 | 7: iteration 8080/ 37905 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 0.24 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 3.036939E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.954 | TFLOPs: 27.41 | 7: iteration 8090/ 37905 | consumed samples: 2071040 | consumed tokens: 4241489920 | elapsed time per iteration (s): 0.23 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 3.028284E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples 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| number of nan iterations: 0 | samples per second: 1102.498 | TFLOPs: 28.09 | 7: iteration 8130/ 37905 | consumed samples: 2081280 | consumed tokens: 4262461440 | elapsed time per iteration (s): 0.24 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 3.031867E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1063.259 | TFLOPs: 27.09 | 7: iteration 8140/ 37905 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 0.23 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 3.051018E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.241 | TFLOPs: 28.11 | 7: iteration 8150/ 37905 | consumed samples: 2086400 | consumed tokens: 4272947200 | elapsed time per iteration (s): 0.23 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 3.030192E+00 | grad norm: 0.409 | num 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1.813E-04 | global batch size: 256 | lm loss: 3.061908E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.018 | TFLOPs: 28.53 | 7: iteration 8220/ 37905 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 0.23 | learning rate: 1.813E-04 | global batch size: 256 | lm loss: 3.048087E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.466 | TFLOPs: 28.65 | 7: iteration 8230/ 37905 | consumed samples: 2106880 | consumed tokens: 4314890240 | elapsed time per iteration (s): 0.23 | learning rate: 1.813E-04 | global batch size: 256 | lm loss: 3.013630E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.901 | TFLOPs: 28.15 | 7: iteration 8240/ 37905 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time 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1125.290 | TFLOPs: 28.67 | 7: iteration 8330/ 37905 | consumed samples: 2132480 | consumed tokens: 4367319040 | elapsed time per iteration (s): 0.23 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 3.075602E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.422 | TFLOPs: 27.86 | 7: iteration 8340/ 37905 | consumed samples: 2135040 | consumed tokens: 4372561920 | elapsed time per iteration (s): 0.23 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 3.080661E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.580 | TFLOPs: 28.01 | 7: iteration 8350/ 37905 | consumed samples: 2137600 | consumed tokens: 4377804800 | elapsed time per iteration (s): 0.23 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 3.050004E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.811 | TFLOPs: 28.35 | 7: iteration 8360/ 37905 | consumed samples: 2140160 | consumed tokens: 4383047680 | elapsed time per iteration (s): 0.23 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 3.058656E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.656 | TFLOPs: 28.01 | 7: iteration 8370/ 37905 | consumed samples: 2142720 | consumed tokens: 4388290560 | elapsed time per iteration (s): 0.23 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 3.005382E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.602 | TFLOPs: 28.52 | 7: iteration 8380/ 37905 | consumed samples: 2145280 | consumed tokens: 4393533440 | elapsed time per iteration (s): 0.23 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 3.045241E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.511 | TFLOPs: 28.14 | 7: iteration 8390/ 37905 | consumed samples: 2147840 | consumed tokens: 4398776320 | elapsed time per iteration (s): 0.23 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 3.034366E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.289 | TFLOPs: 28.59 | 7: iteration 8400/ 37905 | consumed samples: 2150400 | consumed tokens: 4404019200 | elapsed time per iteration (s): 0.23 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 3.010915E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.314 | TFLOPs: 28.44 | 7: iteration 8410/ 37905 | consumed samples: 2152960 | consumed tokens: 4409262080 | elapsed time per iteration (s): 0.24 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 2.987261E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.981 | TFLOPs: 27.59 | 7: iteration 8420/ 37905 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 0.23 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 3.023139E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.967 | TFLOPs: 28.28 | 7: iteration 8430/ 37905 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 0.23 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 3.055506E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.781 | TFLOPs: 28.09 | 7: iteration 8440/ 37905 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 0.23 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 3.032331E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.266 | TFLOPs: 28.03 | 7: iteration 8450/ 37905 | consumed samples: 2163200 | consumed tokens: 4430233600 | elapsed time per iteration (s): 0.24 | learning rate: 1.802E-04 | global batch size: 256 | lm loss: 3.042513E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.931 | TFLOPs: 27.59 | 7: iteration 8460/ 37905 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 0.25 | learning rate: 1.802E-04 | global batch size: 256 | lm loss: 3.071176E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1037.937 | TFLOPs: 26.44 | 7: iteration 8470/ 37905 | consumed samples: 2168320 | consumed tokens: 4440719360 | elapsed time per iteration (s): 0.25 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 3.027665E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1030.153 | TFLOPs: 26.24 | 7: iteration 8480/ 37905 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 0.24 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 3.025171E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.780 | TFLOPs: 27.51 | 7: iteration 8490/ 37905 | consumed samples: 2173440 | consumed tokens: 4451205120 | elapsed time per iteration (s): 0.23 | learning rate: 1.800E-04 | global batch size: 256 | lm loss: 3.057853E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.861 | TFLOPs: 27.94 | 7: iteration 8500/ 37905 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 0.23 | learning rate: 1.800E-04 | global batch size: 256 | lm loss: 3.060818E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.675 | TFLOPs: 27.99 | 7: iteration 8510/ 37905 | consumed samples: 2178560 | consumed tokens: 4461690880 | elapsed time per iteration (s): 0.23 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 2.992191E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.492 | TFLOPs: 28.60 | 7: iteration 8520/ 37905 | consumed samples: 2181120 | consumed tokens: 4466933760 | elapsed time per iteration (s): 0.23 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 3.015472E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.417 | TFLOPs: 27.75 | 7: iteration 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1108.632 | TFLOPs: 28.24 | 7: iteration 8560/ 37905 | consumed samples: 2191360 | consumed tokens: 4487905280 | elapsed time per iteration (s): 0.25 | learning rate: 1.797E-04 | global batch size: 256 | lm loss: 3.038366E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1010.923 | TFLOPs: 25.75 | 7: iteration 8570/ 37905 | consumed samples: 2193920 | consumed tokens: 4493148160 | elapsed time per iteration (s): 0.23 | learning rate: 1.797E-04 | global batch size: 256 | lm loss: 3.037126E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.495 | TFLOPs: 28.42 | 7: iteration 8580/ 37905 | consumed samples: 2196480 | consumed tokens: 4498391040 | elapsed time per iteration (s): 0.23 | learning rate: 1.796E-04 | global batch size: 256 | lm loss: 3.039825E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.115 | TFLOPs: 28.28 | 7: iteration 8590/ 37905 | consumed samples: 2199040 | consumed tokens: 4503633920 | elapsed time per iteration (s): 0.23 | learning rate: 1.796E-04 | global batch size: 256 | lm loss: 3.070746E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.844 | TFLOPs: 28.20 | 7: iteration 8600/ 37905 | consumed samples: 2201600 | consumed tokens: 4508876800 | elapsed time per iteration (s): 0.24 | learning rate: 1.795E-04 | global batch size: 256 | lm loss: 3.060582E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.403 | TFLOPs: 27.60 | 7: iteration 8610/ 37905 | consumed samples: 2204160 | consumed tokens: 4514119680 | elapsed time per iteration (s): 0.23 | learning rate: 1.795E-04 | global batch size: 256 | lm loss: 3.025714E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.708 | TFLOPs: 28.12 | 7: iteration 8620/ 37905 | consumed samples: 2206720 | consumed tokens: 4519362560 | elapsed time per iteration (s): 0.23 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 3.069882E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.787 | TFLOPs: 28.04 | 7: iteration 8630/ 37905 | consumed samples: 2209280 | consumed tokens: 4524605440 | elapsed time per iteration (s): 0.23 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 3.016171E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.180 | TFLOPs: 28.51 | 7: iteration 8640/ 37905 | consumed samples: 2211840 | consumed tokens: 4529848320 | elapsed time per iteration (s): 0.23 | learning rate: 1.793E-04 | global batch size: 256 | lm loss: 3.016118E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.982 | TFLOPs: 27.82 | 7: iteration 8650/ 37905 | consumed samples: 2214400 | consumed tokens: 4535091200 | elapsed time per iteration (s): 0.24 | learning rate: 1.793E-04 | global batch size: 256 | lm loss: 3.003456E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.181 | TFLOPs: 27.75 | 7: iteration 8660/ 37905 | consumed samples: 2216960 | consumed tokens: 4540334080 | elapsed time per iteration (s): 0.23 | learning rate: 1.792E-04 | global batch size: 256 | lm loss: 3.038162E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.501 | TFLOPs: 28.49 | 7: iteration 8670/ 37905 | consumed samples: 2219520 | consumed tokens: 4545576960 | elapsed time per iteration (s): 0.23 | learning rate: 1.792E-04 | global batch size: 256 | lm loss: 3.031485E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.999 | TFLOPs: 28.00 | 7: iteration 8680/ 37905 | consumed samples: 2222080 | consumed tokens: 4550819840 | elapsed time per iteration (s): 0.23 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 3.027548E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.147 | TFLOPs: 28.20 | 7: iteration 8690/ 37905 | consumed samples: 2224640 | consumed tokens: 4556062720 | elapsed time per iteration (s): 0.23 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 3.011311E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.869 | TFLOPs: 28.02 | 7: iteration 8700/ 37905 | consumed samples: 2227200 | consumed tokens: 4561305600 | elapsed time per iteration (s): 0.24 | learning rate: 1.790E-04 | global batch size: 256 | lm loss: 3.024027E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.448 | TFLOPs: 27.35 | 7: iteration 8710/ 37905 | consumed samples: 2229760 | consumed tokens: 4566548480 | elapsed time per iteration (s): 0.23 | learning rate: 1.790E-04 | global batch size: 256 | lm loss: 3.007502E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.185 | TFLOPs: 28.64 | 7: iteration 8720/ 37905 | consumed samples: 2232320 | consumed tokens: 4571791360 | elapsed time per iteration (s): 0.23 | learning rate: 1.789E-04 | global batch size: 256 | lm loss: 3.001884E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.889 | TFLOPs: 27.99 | 7: iteration 8730/ 37905 | consumed samples: 2234880 | consumed tokens: 4577034240 | elapsed time per iteration (s): 0.23 | learning rate: 1.789E-04 | global batch size: 256 | lm loss: 3.056311E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.773 | TFLOPs: 28.20 | 7: iteration 8740/ 37905 | consumed samples: 2237440 | consumed tokens: 4582277120 | elapsed time per iteration (s): 0.23 | learning rate: 1.788E-04 | global batch size: 256 | lm loss: 2.993801E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.250 | TFLOPs: 27.77 | 7: iteration 8750/ 37905 | consumed samples: 2240000 | consumed tokens: 4587520000 | elapsed time per iteration (s): 0.24 | learning rate: 1.788E-04 | global batch size: 256 | lm loss: 3.043098E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1052.569 | TFLOPs: 26.81 | 7: iteration 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nan iterations: 0 | samples per second: 1028.147 | TFLOPs: 26.19 | 7: iteration 8820/ 37905 | consumed samples: 2257920 | consumed tokens: 4624220160 | elapsed time per iteration (s): 0.23 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 3.032424E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.497 | TFLOPs: 28.39 | 7: iteration 8830/ 37905 | consumed samples: 2260480 | consumed tokens: 4629463040 | elapsed time per iteration (s): 0.23 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 3.031807E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.712 | TFLOPs: 27.79 | 7: iteration 8840/ 37905 | consumed samples: 2263040 | consumed tokens: 4634705920 | elapsed time per iteration (s): 0.23 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 3.040471E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.149 | TFLOPs: 28.28 | 7: iteration 8850/ 37905 | consumed samples: 2265600 | consumed tokens: 4639948800 | elapsed time per iteration (s): 0.24 | learning rate: 1.783E-04 | global batch size: 256 | lm loss: 3.018727E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.696 | TFLOPs: 27.68 | 7: iteration 8860/ 37905 | consumed samples: 2268160 | consumed tokens: 4645191680 | elapsed time per iteration (s): 0.23 | learning rate: 1.783E-04 | global batch size: 256 | lm loss: 3.034054E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.610 | TFLOPs: 28.09 | 7: iteration 8870/ 37905 | consumed samples: 2270720 | consumed tokens: 4650434560 | elapsed time per iteration (s): 0.23 | learning rate: 1.782E-04 | global batch size: 256 | lm loss: 3.006848E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.288 | TFLOPs: 27.80 | 7: iteration 8880/ 37905 | consumed samples: 2273280 | consumed tokens: 4655677440 | elapsed time per iteration (s): 0.23 | learning rate: 1.782E-04 | global batch size: 256 | lm loss: 3.029109E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.650 | TFLOPs: 28.32 | 7: iteration 8890/ 37905 | consumed samples: 2275840 | consumed tokens: 4660920320 | elapsed time per iteration (s): 0.23 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 2.996190E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.059 | TFLOPs: 28.08 | 7: iteration 8900/ 37905 | consumed samples: 2278400 | consumed tokens: 4666163200 | elapsed time per iteration (s): 0.24 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 3.033937E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.641 | TFLOPs: 27.71 | 7: iteration 8910/ 37905 | consumed samples: 2280960 | consumed tokens: 4671406080 | elapsed time per iteration (s): 0.24 | learning rate: 1.780E-04 | global batch size: 256 | lm loss: 3.026350E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.056 | TFLOPs: 27.74 | 7: iteration 8920/ 37905 | consumed samples: 2283520 | consumed tokens: 4676648960 | elapsed time per iteration (s): 0.24 | learning rate: 1.780E-04 | global batch size: 256 | lm loss: 2.996276E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.678 | TFLOPs: 27.58 | 7: iteration 8930/ 37905 | consumed samples: 2286080 | consumed tokens: 4681891840 | elapsed time per iteration (s): 0.23 | learning rate: 1.779E-04 | global batch size: 256 | lm loss: 3.008912E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.386 | TFLOPs: 28.31 | 7: iteration 8940/ 37905 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 0.24 | learning rate: 1.779E-04 | global batch size: 256 | lm loss: 3.013646E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.740 | TFLOPs: 27.56 | 7: iteration 8950/ 37905 | consumed samples: 2291200 | consumed tokens: 4692377600 | elapsed time per iteration (s): 0.23 | learning rate: 1.778E-04 | global batch size: 256 | lm loss: 3.021814E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.704 | TFLOPs: 27.99 | 7: iteration 8960/ 37905 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 0.23 | learning rate: 1.778E-04 | global batch size: 256 | lm loss: 3.015483E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.032 | TFLOPs: 28.58 | 7: iteration 8970/ 37905 | consumed samples: 2296320 | consumed tokens: 4702863360 | elapsed time per iteration (s): 0.24 | learning rate: 1.777E-04 | global batch size: 256 | lm loss: 3.021550E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.781 | TFLOPs: 27.53 | 7: iteration 8980/ 37905 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 0.23 | learning rate: 1.777E-04 | global batch size: 256 | lm loss: 3.000734E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.054 | TFLOPs: 28.28 | 7: iteration 8990/ 37905 | consumed samples: 2301440 | consumed tokens: 4713349120 | elapsed time per iteration (s): 0.23 | learning rate: 1.776E-04 | global batch size: 256 | lm loss: 3.000824E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.845 | TFLOPs: 27.87 | 7: iteration 9000/ 37905 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 0.23 | learning rate: 1.776E-04 | global batch size: 256 | lm loss: 3.010592E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.333 | TFLOPs: 28.52 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 9000 | lm loss value: 2.825081E+00 | lm loss PPL: 1.686232E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 9000 to checkpoints_83mwarmup 0: [2022-11-24 18:03:04,385] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step9000 is begin to save! 0: [2022-11-24 18:03:04,390] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:03:04,462] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_01-model_00-model_states.pt. 0: [2022-11-24 18:03:04,462] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_03-model_00-model_states.pt... 0: [2022-11-24 18:03:04,474] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_03-model_00-model_states.pt. 0: [2022-11-24 18:03:04,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_04-model_00-model_states.pt... 0: [2022-11-24 18:03:04,485] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_04-model_00-model_states.pt. 0: [2022-11-24 18:03:04,485] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_05-model_00-model_states.pt... 0: [2022-11-24 18:03:04,495] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_05-model_00-model_states.pt. 0: [2022-11-24 18:03:04,496] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_06-model_00-model_states.pt... 0: [2022-11-24 18:03:04,506] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_06-model_00-model_states.pt. 0: [2022-11-24 18:03:04,507] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_07-model_00-model_states.pt... 0: [2022-11-24 18:03:04,517] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_07-model_00-model_states.pt. 0: [2022-11-24 18:03:04,518] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_08-model_00-model_states.pt... 0: [2022-11-24 18:03:04,528] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_08-model_00-model_states.pt. 0: [2022-11-24 18:03:04,529] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_09-model_00-model_states.pt... 0: [2022-11-24 18:03:04,539] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_09-model_00-model_states.pt. 0: [2022-11-24 18:03:04,540] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_10-model_00-model_states.pt... 0: [2022-11-24 18:03:04,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_10-model_00-model_states.pt. 0: [2022-11-24 18:03:04,551] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_11-model_00-model_states.pt... 0: [2022-11-24 18:03:04,561] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_11-model_00-model_states.pt. 0: [2022-11-24 18:03:04,562] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_12-model_00-model_states.pt... 0: [2022-11-24 18:03:04,572] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_12-model_00-model_states.pt. 0: [2022-11-24 18:03:04,572] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/layer_14-model_00-model_states.pt... 0: [2022-11-24 18:03:04,573] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/layer_14-model_00-model_states.pt. 0: [2022-11-24 18:03:04,574] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83mwarmup/global_step9000/mp_rank_00_model_states.pt 0: [2022-11-24 18:03:04,574] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/mp_rank_00_model_states.pt... 0: [2022-11-24 18:03:04,576] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step9000/mp_rank_00_model_states.pt. 0: [2022-11-24 18:03:04,594] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt... 7: [2022-11-24 18:03:04,594] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step9000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt... 7: [2022-11-24 18:03:04,594] [INFO] 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checkpoints_83mwarmup/global_step9000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-24 18:03:04,623] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: successfully saved checkpoint at iteration 9000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 241.56 7: iteration 9010/ 37905 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 0.26 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 3.033214E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 986.684 | TFLOPs: 25.14 | 7: iteration 9020/ 37905 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 0.23 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 3.007337E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.107 | TFLOPs: 28.10 | 7: iteration 9030/ 37905 | consumed samples: 2311680 | consumed tokens: 4734320640 | elapsed time per iteration (s): 0.23 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 3.042875E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.535 | TFLOPs: 28.06 | 7: iteration 9040/ 37905 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 0.23 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 3.030104E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.181 | TFLOPs: 28.56 | 7: iteration 9050/ 37905 | consumed samples: 2316800 | consumed tokens: 4744806400 | elapsed time per iteration (s): 0.23 | learning rate: 1.773E-04 | global batch size: 256 | lm loss: 3.051940E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.798 | TFLOPs: 28.17 | 7: iteration 9060/ 37905 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 0.23 | learning rate: 1.773E-04 | global batch size: 256 | lm loss: 3.040954E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.395 | TFLOPs: 28.03 | 7: iteration 9070/ 37905 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 0.23 | learning rate: 1.772E-04 | global batch size: 256 | lm loss: 3.020164E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.484 | TFLOPs: 28.29 | 7: iteration 9080/ 37905 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 0.23 | learning rate: 1.772E-04 | global batch size: 256 | lm loss: 3.055108E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.544 | TFLOPs: 27.78 | 7: iteration 9090/ 37905 | consumed samples: 2327040 | consumed tokens: 4765777920 | elapsed time per iteration (s): 0.23 | learning rate: 1.771E-04 | global batch size: 256 | lm loss: 3.004833E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.148 | TFLOPs: 28.41 | 7: iteration 9100/ 37905 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 0.24 | learning rate: 1.771E-04 | global batch size: 256 | lm loss: 3.037792E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.225 | TFLOPs: 27.52 | 7: iteration 9110/ 37905 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 0.27 | learning rate: 1.770E-04 | global batch size: 256 | lm loss: 2.994573E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 951.671 | TFLOPs: 24.24 | 7: iteration 9120/ 37905 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 0.23 | learning rate: 1.770E-04 | global batch size: 256 | lm loss: 3.033755E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.766 | TFLOPs: 27.99 | 7: iteration 9130/ 37905 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 0.23 | learning rate: 1.769E-04 | global batch size: 256 | lm loss: 3.022635E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.651 | TFLOPs: 28.12 | 7: iteration 9140/ 37905 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 0.24 | learning rate: 1.769E-04 | global batch size: 256 | lm loss: 3.004872E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.500 | TFLOPs: 27.68 | 7: iteration 9150/ 37905 | consumed samples: 2342400 | consumed tokens: 4797235200 | elapsed time per iteration (s): 0.23 | learning rate: 1.768E-04 | global batch size: 256 | lm loss: 3.025999E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.351 | TFLOPs: 28.26 | 7: iteration 9160/ 37905 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 0.23 | learning rate: 1.768E-04 | global batch size: 256 | lm loss: 3.033321E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.665 | TFLOPs: 28.47 | 7: iteration 9170/ 37905 | consumed samples: 2347520 | consumed tokens: 4807720960 | elapsed time per iteration (s): 0.23 | learning rate: 1.767E-04 | global batch size: 256 | lm loss: 3.075471E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.578 | TFLOPs: 28.37 | 7: iteration 9180/ 37905 | consumed samples: 2350080 | consumed tokens: 4812963840 | elapsed time per iteration (s): 0.23 | learning rate: 1.767E-04 | global batch size: 256 | lm loss: 3.024837E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.125 | TFLOPs: 28.08 | 7: iteration 9190/ 37905 | consumed samples: 2352640 | consumed tokens: 4818206720 | elapsed time per iteration (s): 0.23 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 3.032031E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.465 | TFLOPs: 28.52 | 7: iteration 9200/ 37905 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 0.23 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 3.010268E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.203 | TFLOPs: 28.16 | 7: iteration 9210/ 37905 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 0.24 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 3.007401E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1057.762 | TFLOPs: 26.95 | 7: iteration 9220/ 37905 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 0.24 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 2.964004E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.732 | TFLOPs: 27.48 | 7: iteration 9230/ 37905 | consumed samples: 2362880 | consumed tokens: 4839178240 | elapsed time per iteration (s): 0.23 | learning rate: 1.764E-04 | global batch size: 256 | lm loss: 3.033999E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.153 | TFLOPs: 28.54 | 7: iteration 9240/ 37905 | consumed samples: 2365440 | consumed tokens: 4844421120 | elapsed time per iteration (s): 0.23 | learning rate: 1.764E-04 | global batch size: 256 | lm loss: 3.012342E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.372 | TFLOPs: 27.93 | 7: iteration 9250/ 37905 | consumed samples: 2368000 | consumed tokens: 4849664000 | elapsed time per iteration (s): 0.23 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 3.013007E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.229 | TFLOPs: 27.80 | 7: iteration 9260/ 37905 | consumed samples: 2370560 | consumed tokens: 4854906880 | elapsed time per iteration (s): 0.23 | learning rate: 1.762E-04 | global batch size: 256 | lm loss: 3.048598E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.944 | TFLOPs: 28.48 | 7: iteration 9270/ 37905 | consumed samples: 2373120 | consumed tokens: 4860149760 | elapsed time per iteration (s): 0.25 | learning rate: 1.762E-04 | global batch size: 256 | lm loss: 3.033283E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1022.684 | TFLOPs: 26.05 | 7: iteration 9280/ 37905 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 0.24 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 3.035666E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.653 | TFLOPs: 27.73 | 7: iteration 9290/ 37905 | consumed samples: 2378240 | consumed tokens: 4870635520 | elapsed time per iteration (s): 0.23 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 3.019964E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.852 | TFLOPs: 28.55 | 7: iteration 9300/ 37905 | consumed samples: 2380800 | consumed tokens: 4875878400 | elapsed time per iteration (s): 0.23 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 2.996940E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.352 | TFLOPs: 27.88 | 7: iteration 9310/ 37905 | consumed samples: 2383360 | consumed tokens: 4881121280 | elapsed time per iteration (s): 0.23 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 3.023405E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.866 | TFLOPs: 28.17 | 7: iteration 9320/ 37905 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 0.28 | learning rate: 1.759E-04 | global batch size: 256 | lm loss: 3.019144E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 930.029 | TFLOPs: 23.69 | 7: iteration 9330/ 37905 | consumed samples: 2388480 | consumed tokens: 4891607040 | elapsed time per iteration (s): 0.23 | learning rate: 1.759E-04 | global batch size: 256 | lm loss: 3.049622E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.395 | TFLOPs: 27.85 | 7: iteration 9340/ 37905 | consumed samples: 2391040 | consumed tokens: 4896849920 | elapsed time per iteration (s): 0.23 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 3.026761E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.459 | TFLOPs: 28.06 | 7: iteration 9350/ 37905 | consumed samples: 2393600 | consumed tokens: 4902092800 | elapsed time per iteration (s): 0.23 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 3.029027E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.109 | TFLOPs: 28.03 | 7: iteration 9360/ 37905 | consumed samples: 2396160 | consumed tokens: 4907335680 | elapsed time per iteration (s): 0.23 | learning rate: 1.757E-04 | global batch size: 256 | lm loss: 2.979872E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.711 | TFLOPs: 28.24 | 7: iteration 9370/ 37905 | consumed samples: 2398720 | consumed tokens: 4912578560 | elapsed time per iteration (s): 0.23 | learning rate: 1.757E-04 | global batch size: 256 | lm loss: 3.017535E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.645 | TFLOPs: 28.37 | 7: iteration 9380/ 37905 | consumed samples: 2401280 | consumed tokens: 4917821440 | elapsed time per iteration (s): 0.23 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 3.028210E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.886 | TFLOPs: 28.20 | 7: iteration 9390/ 37905 | consumed samples: 2403840 | consumed tokens: 4923064320 | elapsed time per iteration (s): 0.25 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 2.998341E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1021.453 | TFLOPs: 26.02 | 7: iteration 9400/ 37905 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 0.23 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 3.031095E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.676 | TFLOPs: 28.12 | 7: iteration 9410/ 37905 | consumed samples: 2408960 | consumed tokens: 4933550080 | elapsed time per iteration (s): 0.24 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 2.967325E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.526 | TFLOPs: 27.63 | 7: iteration 9420/ 37905 | consumed samples: 2411520 | consumed tokens: 4938792960 | elapsed time per iteration (s): 0.23 | learning rate: 1.754E-04 | global batch size: 256 | lm loss: 3.036773E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.684 | TFLOPs: 27.91 | 7: iteration 9430/ 37905 | consumed samples: 2414080 | consumed tokens: 4944035840 | elapsed time per iteration (s): 0.23 | learning rate: 1.754E-04 | global batch size: 256 | lm loss: 3.000683E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.662 | TFLOPs: 28.29 | 7: iteration 9440/ 37905 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 0.23 | learning rate: 1.753E-04 | global batch size: 256 | lm loss: 3.026182E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.567 | TFLOPs: 28.27 | 7: iteration 9450/ 37905 | consumed samples: 2419200 | consumed tokens: 4954521600 | elapsed time per iteration (s): 0.24 | learning rate: 1.753E-04 | global batch size: 256 | lm loss: 3.066133E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.460 | TFLOPs: 27.17 | 7: iteration 9460/ 37905 | consumed samples: 2421760 | consumed tokens: 4959764480 | elapsed time per iteration (s): 0.23 | learning rate: 1.752E-04 | global batch size: 256 | lm loss: 3.037482E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.076 | TFLOPs: 27.85 | 7: iteration 9470/ 37905 | consumed samples: 2424320 | consumed tokens: 4965007360 | elapsed time per iteration (s): 0.23 | learning rate: 1.752E-04 | global batch size: 256 | lm loss: 3.040336E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.948 | TFLOPs: 28.40 | 7: iteration 9480/ 37905 | consumed samples: 2426880 | consumed tokens: 4970250240 | elapsed time per iteration (s): 0.24 | learning rate: 1.751E-04 | global batch size: 256 | lm loss: 2.980735E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.353 | TFLOPs: 27.73 | 7: iteration 9490/ 37905 | consumed samples: 2429440 | consumed tokens: 4975493120 | elapsed time per iteration (s): 0.23 | learning rate: 1.751E-04 | global batch size: 256 | lm loss: 2.982106E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.272 | TFLOPs: 28.00 | 7: iteration 9500/ 37905 | consumed samples: 2432000 | consumed tokens: 4980736000 | elapsed time per iteration (s): 0.23 | learning rate: 1.750E-04 | global batch size: 256 | lm loss: 3.021022E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.638 | TFLOPs: 28.42 | 7: iteration 9510/ 37905 | consumed samples: 2434560 | consumed tokens: 4985978880 | elapsed time per iteration (s): 0.23 | learning rate: 1.750E-04 | global batch size: 256 | lm loss: 3.018845E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.810 | TFLOPs: 28.09 | 7: iteration 9520/ 37905 | consumed samples: 2437120 | consumed tokens: 4991221760 | elapsed time per iteration (s): 0.23 | learning rate: 1.749E-04 | global batch size: 256 | lm loss: 2.996029E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.995 | TFLOPs: 28.02 | 7: iteration 9530/ 37905 | consumed samples: 2439680 | consumed tokens: 4996464640 | elapsed time per iteration (s): 0.23 | learning rate: 1.749E-04 | global batch size: 256 | lm loss: 3.041724E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.680 | TFLOPs: 28.55 | 7: iteration 9540/ 37905 | consumed samples: 2442240 | consumed tokens: 5001707520 | elapsed time per iteration (s): 0.23 | learning rate: 1.748E-04 | global batch size: 256 | lm loss: 3.038716E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.548 | TFLOPs: 28.19 | 7: iteration 9550/ 37905 | consumed samples: 2444800 | consumed tokens: 5006950400 | elapsed time per iteration (s): 0.24 | learning rate: 1.748E-04 | global batch size: 256 | lm loss: 3.028668E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.789 | TFLOPs: 27.69 | 7: iteration 9560/ 37905 | consumed samples: 2447360 | consumed tokens: 5012193280 | elapsed time per iteration (s): 0.23 | learning rate: 1.747E-04 | global batch size: 256 | lm loss: 3.026708E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.242 | TFLOPs: 28.26 | 7: iteration 9570/ 37905 | consumed samples: 2449920 | consumed tokens: 5017436160 | elapsed time per iteration (s): 0.24 | learning rate: 1.746E-04 | global batch size: 256 | lm loss: 2.950532E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.836 | TFLOPs: 27.74 | 7: iteration 9580/ 37905 | consumed samples: 2452480 | consumed tokens: 5022679040 | elapsed time per iteration (s): 0.23 | learning rate: 1.746E-04 | global batch size: 256 | lm loss: 3.018587E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.324 | TFLOPs: 28.26 | 7: iteration 9590/ 37905 | consumed samples: 2455040 | consumed tokens: 5027921920 | elapsed time per iteration (s): 0.24 | learning rate: 1.745E-04 | global batch size: 256 | lm loss: 2.985529E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.375 | TFLOPs: 27.57 | 7: iteration 9600/ 37905 | consumed samples: 2457600 | consumed tokens: 5033164800 | elapsed time per iteration (s): 0.23 | learning rate: 1.745E-04 | global batch size: 256 | lm loss: 2.991540E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.363 | TFLOPs: 28.44 | 7: iteration 9610/ 37905 | consumed samples: 2460160 | consumed tokens: 5038407680 | elapsed time per iteration (s): 0.23 | learning rate: 1.744E-04 | global batch size: 256 | lm loss: 2.989535E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.698 | TFLOPs: 28.60 | 7: iteration 9620/ 37905 | consumed samples: 2462720 | consumed tokens: 5043650560 | elapsed time per iteration (s): 0.24 | learning rate: 1.744E-04 | global batch size: 256 | lm loss: 3.061679E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.615 | TFLOPs: 27.61 | 7: iteration 9630/ 37905 | consumed samples: 2465280 | consumed tokens: 5048893440 | elapsed time per iteration (s): 0.23 | learning rate: 1.743E-04 | global batch size: 256 | lm loss: 3.027863E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.533 | TFLOPs: 27.86 | 7: iteration 9640/ 37905 | consumed samples: 2467840 | consumed tokens: 5054136320 | elapsed time per iteration (s): 0.23 | learning rate: 1.743E-04 | global batch size: 256 | lm loss: 2.982126E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.929 | TFLOPs: 28.02 | 7: iteration 9650/ 37905 | consumed samples: 2470400 | consumed tokens: 5059379200 | elapsed time per iteration (s): 0.23 | learning rate: 1.742E-04 | global batch size: 256 | lm loss: 3.022292E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.440 | TFLOPs: 27.83 | 7: iteration 9660/ 37905 | consumed samples: 2472960 | consumed tokens: 5064622080 | elapsed time per iteration (s): 0.23 | learning rate: 1.742E-04 | global batch size: 256 | lm loss: 3.022629E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.948 | TFLOPs: 28.02 | 7: iteration 9670/ 37905 | consumed samples: 2475520 | consumed tokens: 5069864960 | elapsed time per iteration (s): 0.23 | learning rate: 1.741E-04 | global batch size: 256 | lm loss: 2.991743E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.495 | TFLOPs: 28.44 | 7: iteration 9680/ 37905 | consumed samples: 2478080 | consumed tokens: 5075107840 | elapsed time per iteration (s): 0.24 | learning rate: 1.741E-04 | global batch size: 256 | lm loss: 2.998394E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.374 | TFLOPs: 27.40 | 7: iteration 9690/ 37905 | consumed samples: 2480640 | consumed tokens: 5080350720 | elapsed time per iteration (s): 0.24 | learning rate: 1.740E-04 | global batch size: 256 | lm loss: 2.994188E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.073 | TFLOPs: 27.62 | 7: iteration 9700/ 37905 | consumed samples: 2483200 | consumed tokens: 5085593600 | elapsed time per iteration (s): 0.23 | learning rate: 1.740E-04 | global batch size: 256 | lm loss: 3.006266E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.722 | TFLOPs: 28.50 | 7: iteration 9710/ 37905 | consumed samples: 2485760 | consumed tokens: 5090836480 | elapsed time per iteration (s): 0.23 | learning rate: 1.739E-04 | global batch size: 256 | lm loss: 2.999079E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.731 | TFLOPs: 28.14 | 7: iteration 9720/ 37905 | consumed samples: 2488320 | consumed tokens: 5096079360 | elapsed time per iteration (s): 0.23 | learning rate: 1.739E-04 | global batch size: 256 | lm loss: 3.002287E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.791 | TFLOPs: 28.40 | 7: iteration 9730/ 37905 | consumed samples: 2490880 | consumed tokens: 5101322240 | elapsed time per iteration (s): 0.23 | learning rate: 1.738E-04 | global batch size: 256 | lm loss: 3.060517E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.844 | TFLOPs: 28.30 | 7: iteration 9740/ 37905 | consumed samples: 2493440 | consumed tokens: 5106565120 | elapsed time per iteration (s): 0.25 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 3.021397E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1043.512 | TFLOPs: 26.58 | 7: iteration 9750/ 37905 | consumed samples: 2496000 | consumed tokens: 5111808000 | elapsed time per iteration (s): 0.25 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 2.998781E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1039.796 | TFLOPs: 26.49 | 7: iteration 9760/ 37905 | consumed samples: 2498560 | consumed tokens: 5117050880 | elapsed time per iteration (s): 0.24 | learning rate: 1.736E-04 | global batch size: 256 | lm loss: 2.996264E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.113 | TFLOPs: 27.75 | 7: iteration 9770/ 37905 | consumed samples: 2501120 | consumed tokens: 5122293760 | elapsed time per iteration (s): 0.23 | learning rate: 1.736E-04 | global batch size: 256 | lm loss: 3.009418E+00 | grad norm: 0.275 | num zeros: 0.0 | number 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iterations: 0 | samples per second: 1066.181 | TFLOPs: 27.16 | 7: iteration 9980/ 37905 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 0.23 | learning rate: 1.725E-04 | global batch size: 256 | lm loss: 3.030972E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.854 | TFLOPs: 27.89 | 7: iteration 9990/ 37905 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 0.23 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 3.030770E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.348 | TFLOPs: 27.90 | 0: [2022-11-24 18:06:58,544] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[0.00017235122366283088, 0.00017235122366283088, 0.00017235122366283088], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 10000/ 37905 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 0.23 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 3.030414E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.849 | TFLOPs: 28.38 | 0: steps: 10000 loss: 3.0070 iter time (s): 0.232 samples/sec: 1104.592 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 10000 | lm loss value: 2.861042E+00 | lm loss PPL: 1.747973E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_83mwarmup 0: [2022-11-24 18:06:58,634] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2022-11-24 18:06:58,638] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 0: [2022-11-24 18:06:58,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 1: [2022-11-24 18:06:58,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 4: [2022-11-24 18:06:58,869] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-24 18:06:58,869] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-24 18:06:58,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 1: [2022-11-24 18:06:58,869] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 4: [2022-11-24 18:06:58,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 1: [2022-11-24 18:06:58,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 4: [2022-11-24 18:06:58,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-24 18:06:58,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 1: [2022-11-24 18:06:58,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: [2022-11-24 18:06:58,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-24 18:06:58,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-24 18:06:58,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 7: [2022-11-24 18:06:58,872] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-24 18:06:58,872] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step10000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-24 18:06:58,872] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 241.36 7: iteration 10010/ 37905 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 0.26 | learning rate: 1.723E-04 | global batch size: 256 | lm loss: 2.998453E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 967.611 | TFLOPs: 24.65 | 7: iteration 10020/ 37905 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 0.23 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 3.026191E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.812 | TFLOPs: 28.25 | 7: iteration 10030/ 37905 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 0.23 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 3.028647E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.399 | TFLOPs: 27.88 | 7: iteration 10040/ 37905 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 0.24 | learning rate: 1.721E-04 | global batch size: 256 | lm loss: 3.028946E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1058.229 | TFLOPs: 26.96 | 7: iteration 10050/ 37905 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 0.23 | learning rate: 1.721E-04 | global batch size: 256 | lm loss: 3.001871E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.424 | TFLOPs: 28.64 | 7: iteration 10060/ 37905 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 0.23 | learning rate: 1.720E-04 | global batch size: 256 | lm loss: 3.008053E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.012 | TFLOPs: 28.30 | 7: iteration 10070/ 37905 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 0.23 | learning rate: 1.720E-04 | global batch size: 256 | lm loss: 3.013006E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.492 | TFLOPs: 28.04 | 7: iteration 10080/ 37905 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 0.23 | learning rate: 1.719E-04 | global batch size: 256 | lm loss: 2.969838E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.188 | TFLOPs: 27.90 | 7: iteration 10090/ 37905 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 0.23 | learning rate: 1.719E-04 | global batch size: 256 | lm loss: 2.983554E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.916 | TFLOPs: 27.94 | 7: iteration 10100/ 37905 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 0.24 | learning rate: 1.718E-04 | global batch size: 256 | lm loss: 3.019248E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1055.591 | TFLOPs: 26.89 | 7: iteration 10110/ 37905 | consumed samples: 2588160 | consumed tokens: 5300551680 | elapsed time per iteration (s): 0.23 | learning rate: 1.718E-04 | global batch size: 256 | lm loss: 2.991741E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.258 | TFLOPs: 28.05 | 7: iteration 10120/ 37905 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 0.23 | learning rate: 1.717E-04 | global batch size: 256 | lm loss: 2.974026E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.602 | TFLOPs: 28.17 | 7: iteration 10130/ 37905 | consumed samples: 2593280 | consumed tokens: 5311037440 | elapsed time per iteration (s): 0.23 | learning rate: 1.716E-04 | global batch size: 256 | lm loss: 3.002686E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.251 | TFLOPs: 28.23 | 7: iteration 10140/ 37905 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 0.24 | learning rate: 1.716E-04 | global batch size: 256 | lm loss: 3.011282E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.982 | TFLOPs: 27.61 | 7: iteration 10150/ 37905 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 0.23 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 2.984138E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.271 | TFLOPs: 28.21 | 7: iteration 10160/ 37905 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 0.23 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 3.001013E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.478 | TFLOPs: 28.16 | 7: iteration 10170/ 37905 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed time per iteration (s): 0.23 | learning rate: 1.714E-04 | global batch size: 256 | lm loss: 3.025893E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.363 | TFLOPs: 28.36 | 7: iteration 10180/ 37905 | consumed samples: 2606080 | consumed tokens: 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consumed samples: 2613760 | consumed tokens: 5352980480 | elapsed time per iteration (s): 0.23 | learning rate: 1.712E-04 | global batch size: 256 | lm loss: 2.998472E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.474 | TFLOPs: 28.39 | 7: iteration 10220/ 37905 | consumed samples: 2616320 | consumed tokens: 5358223360 | elapsed time per iteration (s): 0.23 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 2.980888E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.094 | TFLOPs: 28.41 | 7: iteration 10230/ 37905 | consumed samples: 2618880 | consumed tokens: 5363466240 | elapsed time per iteration (s): 0.23 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 2.999434E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.528 | TFLOPs: 28.29 | 7: iteration 10240/ 37905 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 0.23 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 3.016367E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.583 | TFLOPs: 28.50 | 7: iteration 10250/ 37905 | consumed samples: 2624000 | consumed tokens: 5373952000 | elapsed time per iteration (s): 0.23 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 2.998998E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.184 | TFLOPs: 28.21 | 7: iteration 10260/ 37905 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 0.23 | learning rate: 1.709E-04 | global batch size: 256 | lm loss: 2.969153E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.148 | TFLOPs: 28.23 | 7: iteration 10270/ 37905 | consumed samples: 2629120 | consumed tokens: 5384437760 | elapsed time per iteration (s): 0.23 | learning rate: 1.709E-04 | global batch size: 256 | lm loss: 3.000597E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.733 | TFLOPs: 27.91 | 7: iteration 10280/ 37905 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 0.23 | learning rate: 1.708E-04 | global batch size: 256 | lm loss: 3.012793E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.593 | TFLOPs: 27.86 | 7: iteration 10290/ 37905 | consumed samples: 2634240 | consumed tokens: 5394923520 | elapsed time per iteration (s): 0.23 | learning rate: 1.708E-04 | global batch size: 256 | lm loss: 3.024392E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.959 | TFLOPs: 28.45 | 7: iteration 10300/ 37905 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 0.23 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 2.975010E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.956 | TFLOPs: 27.84 | 7: iteration 10310/ 37905 | consumed samples: 2639360 | consumed tokens: 5405409280 | elapsed time per iteration (s): 0.23 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 3.010758E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.244 | TFLOPs: 28.54 | 7: iteration 10320/ 37905 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 0.23 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 3.033208E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.604 | TFLOPs: 28.22 | 7: iteration 10330/ 37905 | consumed samples: 2644480 | consumed tokens: 5415895040 | elapsed time per iteration (s): 0.23 | learning rate: 1.705E-04 | global batch size: 256 | lm loss: 2.984754E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.508 | TFLOPs: 28.47 | 7: iteration 10340/ 37905 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 0.23 | learning rate: 1.705E-04 | global batch size: 256 | lm loss: 3.030686E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.065 | TFLOPs: 28.51 | 7: iteration 10350/ 37905 | consumed samples: 2649600 | consumed tokens: 5426380800 | elapsed time per iteration (s): 0.23 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 2.999756E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.042 | TFLOPs: 28.20 | 7: iteration 10360/ 37905 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 0.23 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 3.008597E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.613 | TFLOPs: 28.55 | 7: iteration 10370/ 37905 | consumed samples: 2654720 | consumed tokens: 5436866560 | elapsed time per iteration (s): 0.23 | learning rate: 1.703E-04 | global batch size: 256 | lm loss: 3.000398E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.538 | TFLOPs: 28.21 | 7: iteration 10380/ 37905 | consumed samples: 2657280 | consumed tokens: 5442109440 | elapsed time per iteration (s): 0.24 | learning rate: 1.703E-04 | global batch size: 256 | lm loss: 2.993816E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1048.263 | TFLOPs: 26.70 | 7: iteration 10390/ 37905 | consumed samples: 2659840 | consumed tokens: 5447352320 | elapsed time per iteration (s): 0.25 | learning rate: 1.702E-04 | global batch size: 256 | lm loss: 2.986102E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1025.427 | TFLOPs: 26.12 | 7: iteration 10400/ 37905 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 0.25 | learning rate: 1.701E-04 | global batch size: 256 | lm loss: 3.004070E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1038.353 | TFLOPs: 26.45 | 7: iteration 10410/ 37905 | consumed samples: 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size: 256 | lm loss: 2.978675E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.905 | TFLOPs: 27.82 | 7: iteration 10990/ 37905 | consumed samples: 2813440 | consumed tokens: 5761925120 | elapsed time per iteration (s): 0.23 | learning rate: 1.668E-04 | global batch size: 256 | lm loss: 2.987037E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.564 | TFLOPs: 28.67 | 7: iteration 11000/ 37905 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 0.23 | learning rate: 1.667E-04 | global batch size: 256 | lm loss: 2.986005E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.519 | TFLOPs: 28.16 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 11000 | lm loss value: 2.856976E+00 | lm loss PPL: 1.740880E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 11000 to checkpoints_83mwarmup 0: [2022-11-24 18:10:51,294] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11000 is begin to save! 0: [2022-11-24 18:10:51,297] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step11000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:10:51,368] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/layer_01-model_00-model_states.pt. 0: [2022-11-24 18:10:51,368] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step11000/layer_03-model_00-model_states.pt... 0: [2022-11-24 18:10:51,380] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/layer_03-model_00-model_states.pt. 0: [2022-11-24 18:10:51,380] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step11000/layer_04-model_00-model_states.pt... 0: [2022-11-24 18:10:51,391] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/layer_04-model_00-model_states.pt. 0: [2022-11-24 18:10:51,391] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step11000/layer_05-model_00-model_states.pt... 0: [2022-11-24 18:10:51,402] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/layer_05-model_00-model_states.pt. 0: [2022-11-24 18:10:51,402] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step11000/layer_06-model_00-model_states.pt... 0: [2022-11-24 18:10:51,413] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/layer_06-model_00-model_states.pt. 0: [2022-11-24 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checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-24 18:10:51,528] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-24 18:10:51,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-24 18:10:51,528] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-24 18:10:51,528] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-24 18:10:51,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-24 18:10:51,528] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-24 18:10:51,528] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-24 18:10:51,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 2: [2022-11-24 18:10:51,528] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-24 18:10:51,528] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-24 18:10:51,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 1: [2022-11-24 18:10:51,528] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 2: [2022-11-24 18:10:51,528] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 1: [2022-11-24 18:10:51,529] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 7: [2022-11-24 18:10:51,528] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 1: [2022-11-24 18:10:51,529] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 6: [2022-11-24 18:10:51,529] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 2: [2022-11-24 18:10:51,529] [INFO] 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checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-24 18:10:51,530] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step11000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-24 18:10:51,530] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: successfully saved checkpoint at iteration 11000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 238.91 7: iteration 11010/ 37905 | consumed samples: 2818560 | consumed tokens: 5772410880 | elapsed time per iteration (s): 0.26 | learning rate: 1.666E-04 | global batch size: 256 | lm loss: 2.963881E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 986.691 | TFLOPs: 25.14 | 7: iteration 11020/ 37905 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 0.23 | learning rate: 1.666E-04 | global batch size: 256 | lm loss: 3.025452E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.403 | TFLOPs: 27.91 | 7: iteration 11030/ 37905 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 0.24 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 2.948303E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.794 | TFLOPs: 27.66 | 7: iteration 11040/ 37905 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 0.23 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 2.984007E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.168 | TFLOPs: 28.59 | 7: iteration 11050/ 37905 | consumed samples: 2828800 | consumed tokens: 5793382400 | elapsed time per iteration (s): 0.25 | learning rate: 1.664E-04 | global batch size: 256 | lm loss: 2.996902E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1031.407 | TFLOPs: 26.28 | 7: iteration 11060/ 37905 | consumed samples: 2831360 | consumed tokens: 5798625280 | elapsed time per iteration (s): 0.23 | learning rate: 1.664E-04 | global batch size: 256 | lm loss: 2.954674E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.317 | TFLOPs: 27.98 | 7: iteration 11070/ 37905 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 0.23 | learning rate: 1.663E-04 | global batch size: 256 | lm loss: 2.973208E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.457 | TFLOPs: 28.52 | 7: iteration 11080/ 37905 | consumed 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28.56 | 7: iteration 11110/ 37905 | consumed samples: 2844160 | consumed tokens: 5824839680 | elapsed time per iteration (s): 0.23 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 3.010383E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.553 | TFLOPs: 28.52 | 7: iteration 11120/ 37905 | consumed samples: 2846720 | consumed tokens: 5830082560 | elapsed time per iteration (s): 0.23 | learning rate: 1.660E-04 | global batch size: 256 | lm loss: 2.993506E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.637 | TFLOPs: 28.32 | 7: iteration 11130/ 37905 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 0.23 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 2.954841E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.652 | TFLOPs: 28.17 | 7: iteration 11140/ 37905 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 0.26 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 2.985078E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 997.204 | TFLOPs: 25.40 | 7: iteration 11150/ 37905 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 0.23 | learning rate: 1.658E-04 | global batch size: 256 | lm loss: 2.970661E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.655 | TFLOPs: 28.57 | 7: iteration 11160/ 37905 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 0.23 | learning rate: 1.658E-04 | global batch size: 256 | lm loss: 2.989559E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped 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0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.281 | TFLOPs: 28.23 | 7: iteration 11200/ 37905 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 0.24 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 3.030119E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1058.432 | TFLOPs: 26.96 | 7: iteration 11210/ 37905 | consumed samples: 2869760 | consumed tokens: 5877268480 | elapsed time per iteration (s): 0.23 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 2.986264E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.266 | TFLOPs: 28.67 | 7: iteration 11220/ 37905 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 0.23 | learning rate: 1.654E-04 | global batch size: 256 | lm loss: 3.009918E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.911 | TFLOPs: 28.45 | 7: iteration 11230/ 37905 | consumed samples: 2874880 | consumed tokens: 5887754240 | elapsed time per iteration (s): 0.23 | learning rate: 1.653E-04 | global batch size: 256 | lm loss: 2.994328E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.054 | TFLOPs: 28.71 | 7: iteration 11240/ 37905 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 0.23 | learning rate: 1.653E-04 | global batch size: 256 | lm loss: 3.005531E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.447 | TFLOPs: 28.70 | 7: iteration 11250/ 37905 | consumed samples: 2880000 | consumed tokens: 5898240000 | elapsed time per iteration (s): 0.23 | learning rate: 1.652E-04 | global batch size: 256 | lm loss: 2.993897E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.512 | TFLOPs: 28.34 | 7: iteration 11260/ 37905 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 0.23 | learning rate: 1.652E-04 | global batch size: 256 | lm loss: 2.977280E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.964 | TFLOPs: 28.63 | 7: iteration 11270/ 37905 | consumed samples: 2885120 | consumed tokens: 5908725760 | elapsed time per iteration (s): 0.23 | learning rate: 1.651E-04 | global batch size: 256 | lm loss: 2.986672E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.071 | TFLOPs: 28.23 | 7: iteration 11280/ 37905 | consumed samples: 2887680 | consumed tokens: 5913968640 | elapsed time per iteration (s): 0.23 | learning rate: 1.651E-04 | global batch size: 256 | lm loss: 3.018029E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.474 | TFLOPs: 28.37 | 7: iteration 11290/ 37905 | consumed samples: 2890240 | consumed tokens: 5919211520 | elapsed time per iteration (s): 0.23 | learning rate: 1.650E-04 | global batch size: 256 | lm loss: 2.970448E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.615 | TFLOPs: 28.70 | 7: iteration 11300/ 37905 | consumed samples: 2892800 | consumed tokens: 5924454400 | elapsed time per iteration (s): 0.23 | learning rate: 1.649E-04 | global batch size: 256 | lm loss: 2.955747E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.593 | TFLOPs: 28.06 | 7: iteration 11310/ 37905 | consumed samples: 2895360 | consumed tokens: 5929697280 | elapsed time per iteration (s): 0.23 | learning rate: 1.649E-04 | global batch size: 256 | lm loss: 2.965119E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.661 | TFLOPs: 28.68 | 7: iteration 11320/ 37905 | consumed samples: 2897920 | consumed tokens: 5934940160 | elapsed time per iteration (s): 0.23 | learning rate: 1.648E-04 | global batch size: 256 | lm loss: 2.963573E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.069 | TFLOPs: 28.71 | 7: iteration 11330/ 37905 | consumed samples: 2900480 | consumed tokens: 5940183040 | elapsed time per iteration (s): 0.24 | learning rate: 1.648E-04 | global batch size: 256 | lm loss: 2.957331E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1053.261 | TFLOPs: 26.83 | 7: iteration 11340/ 37905 | consumed samples: 2903040 | consumed tokens: 5945425920 | elapsed time per iteration (s): 0.23 | learning rate: 1.647E-04 | global batch size: 256 | lm loss: 2.983520E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.173 | TFLOPs: 28.49 | 7: iteration 11350/ 37905 | consumed samples: 2905600 | consumed tokens: 5950668800 | elapsed time per iteration (s): 0.23 | learning rate: 1.646E-04 | global batch size: 256 | lm loss: 2.989312E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.429 | TFLOPs: 28.16 | 7: iteration 11360/ 37905 | consumed samples: 2908160 | consumed tokens: 5955911680 | elapsed time per iteration (s): 0.23 | learning rate: 1.646E-04 | global batch size: 256 | lm loss: 3.009163E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.021 | TFLOPs: 28.33 | 7: iteration 11370/ 37905 | consumed samples: 2910720 | consumed tokens: 5961154560 | elapsed time per iteration (s): 0.24 | learning rate: 1.645E-04 | global batch size: 256 | lm loss: 2.981384E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.240 | TFLOPs: 27.65 | 7: iteration 11380/ 37905 | consumed samples: 2913280 | consumed tokens: 5966397440 | elapsed time per iteration (s): 0.23 | learning rate: 1.645E-04 | global batch size: 256 | lm loss: 2.977418E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.241 | TFLOPs: 28.16 | 7: iteration 11390/ 37905 | consumed samples: 2915840 | consumed tokens: 5971640320 | elapsed time per iteration (s): 0.24 | learning rate: 1.644E-04 | global batch size: 256 | lm loss: 2.967087E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.468 | TFLOPs: 27.24 | 7: iteration 11400/ 37905 | consumed samples: 2918400 | consumed tokens: 5976883200 | elapsed time per iteration (s): 0.23 | learning rate: 1.643E-04 | global batch size: 256 | lm loss: 3.011822E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.454 | TFLOPs: 28.39 | 7: iteration 11410/ 37905 | consumed samples: 2920960 | consumed tokens: 5982126080 | elapsed time per iteration (s): 0.23 | learning rate: 1.643E-04 | global batch size: 256 | lm loss: 2.945505E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.682 | TFLOPs: 28.29 | 7: iteration 11420/ 37905 | consumed samples: 2923520 | consumed tokens: 5987368960 | elapsed time per iteration (s): 0.23 | learning rate: 1.642E-04 | global batch size: 256 | lm loss: 2.946072E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.489 | TFLOPs: 28.57 | 7: iteration 11430/ 37905 | consumed samples: 2926080 | consumed tokens: 5992611840 | elapsed time per iteration (s): 0.23 | learning rate: 1.642E-04 | global batch size: 256 | lm loss: 2.964045E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.772 | TFLOPs: 28.07 | 7: iteration 11440/ 37905 | consumed samples: 2928640 | consumed tokens: 5997854720 | elapsed time per iteration (s): 0.23 | learning rate: 1.641E-04 | global batch size: 256 | lm loss: 2.995384E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.714 | TFLOPs: 28.09 | 7: iteration 11450/ 37905 | consumed samples: 2931200 | consumed tokens: 6003097600 | elapsed time per iteration (s): 0.23 | learning rate: 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iteration 11540/ 37905 | consumed samples: 2954240 | consumed tokens: 6050283520 | elapsed time per iteration (s): 0.23 | learning rate: 1.635E-04 | global batch size: 256 | lm loss: 2.996887E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.687 | TFLOPs: 28.60 | 7: iteration 11550/ 37905 | consumed samples: 2956800 | consumed tokens: 6055526400 | elapsed time per iteration (s): 0.23 | learning rate: 1.634E-04 | global batch size: 256 | lm loss: 2.995408E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.820 | TFLOPs: 27.94 | 7: iteration 11560/ 37905 | consumed samples: 2959360 | consumed tokens: 6060769280 | elapsed time per iteration (s): 0.23 | learning rate: 1.634E-04 | global batch size: 256 | lm loss: 2.988476E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.975 | TFLOPs: 28.20 | 7: iteration 11570/ 37905 | consumed samples: 2961920 | consumed tokens: 6066012160 | elapsed time per iteration (s): 0.23 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 2.966291E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.692 | TFLOPs: 28.12 | 7: iteration 11580/ 37905 | consumed samples: 2964480 | consumed tokens: 6071255040 | elapsed time per iteration (s): 0.23 | learning rate: 1.632E-04 | global batch size: 256 | lm loss: 2.947592E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.604 | TFLOPs: 28.62 | 7: iteration 11590/ 37905 | consumed samples: 2967040 | consumed tokens: 6076497920 | elapsed time per iteration (s): 0.23 | learning rate: 1.632E-04 | global batch size: 256 | lm loss: 2.983594E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.074 | TFLOPs: 28.33 | 7: iteration 11600/ 37905 | consumed samples: 2969600 | consumed tokens: 6081740800 | elapsed time per iteration (s): 0.23 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 2.987118E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.008 | TFLOPs: 27.82 | 7: iteration 11610/ 37905 | consumed samples: 2972160 | consumed tokens: 6086983680 | elapsed time per iteration (s): 0.23 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 2.991038E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.749 | TFLOPs: 28.55 | 7: iteration 11620/ 37905 | consumed samples: 2974720 | consumed tokens: 6092226560 | elapsed time per iteration (s): 0.23 | learning rate: 1.630E-04 | global batch size: 256 | lm loss: 3.015832E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.230 | TFLOPs: 28.28 | 7: iteration 11630/ 37905 | consumed samples: 2977280 | consumed tokens: 6097469440 | elapsed time per iteration (s): 0.23 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 2.960670E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.807 | TFLOPs: 28.32 | 7: iteration 11640/ 37905 | consumed samples: 2979840 | consumed tokens: 6102712320 | elapsed time per iteration (s): 0.23 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 2.998883E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.646 | TFLOPs: 28.55 | 7: iteration 11650/ 37905 | consumed samples: 2982400 | consumed tokens: 6107955200 | elapsed time per iteration (s): 0.23 | learning rate: 1.628E-04 | global batch size: 256 | lm loss: 2.944969E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.072 | TFLOPs: 28.58 | 7: iteration 11660/ 37905 | consumed samples: 2984960 | consumed tokens: 6113198080 | elapsed time per iteration (s): 0.23 | learning rate: 1.628E-04 | global batch size: 256 | lm loss: 2.979300E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.412 | TFLOPs: 28.31 | 7: iteration 11670/ 37905 | consumed samples: 2987520 | consumed tokens: 6118440960 | elapsed time per iteration (s): 0.23 | learning rate: 1.627E-04 | global batch size: 256 | lm loss: 2.957690E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.910 | TFLOPs: 28.63 | 7: iteration 11680/ 37905 | consumed samples: 2990080 | consumed tokens: 6123683840 | elapsed time per iteration (s): 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consumed samples: 3005440 | consumed tokens: 6155141120 | elapsed time per iteration (s): 0.23 | learning rate: 1.623E-04 | global batch size: 256 | lm loss: 2.978776E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.149 | TFLOPs: 28.64 | 7: iteration 11750/ 37905 | consumed samples: 3008000 | consumed tokens: 6160384000 | elapsed time per iteration (s): 0.23 | learning rate: 1.622E-04 | global batch size: 256 | lm loss: 2.942315E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.945 | TFLOPs: 28.05 | 7: iteration 11760/ 37905 | consumed samples: 3010560 | consumed tokens: 6165626880 | elapsed time per iteration (s): 0.23 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 2.982919E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.306 | TFLOPs: 28.34 | 7: iteration 11770/ 37905 | consumed samples: 3013120 | consumed tokens: 6170869760 | elapsed time per iteration (s): 0.23 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 2.993362E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.393 | TFLOPs: 28.24 | 7: iteration 11780/ 37905 | consumed samples: 3015680 | consumed tokens: 6176112640 | elapsed time per iteration (s): 0.23 | learning rate: 1.620E-04 | global batch size: 256 | lm loss: 2.954044E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.652 | TFLOPs: 28.06 | 7: iteration 11790/ 37905 | consumed samples: 3018240 | consumed tokens: 6181355520 | elapsed time per iteration (s): 0.24 | learning rate: 1.620E-04 | global batch size: 256 | lm loss: 2.967710E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.956 | TFLOPs: 27.21 | 7: iteration 11800/ 37905 | consumed samples: 3020800 | consumed tokens: 6186598400 | elapsed time per iteration (s): 0.23 | learning rate: 1.619E-04 | global batch size: 256 | lm loss: 2.971481E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.787 | TFLOPs: 27.94 | 7: iteration 11810/ 37905 | consumed samples: 3023360 | consumed tokens: 6191841280 | elapsed time per iteration (s): 0.23 | learning rate: 1.618E-04 | global batch size: 256 | lm loss: 2.955150E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.862 | TFLOPs: 28.15 | 7: iteration 11820/ 37905 | consumed samples: 3025920 | consumed tokens: 6197084160 | elapsed time per iteration (s): 0.23 | learning rate: 1.618E-04 | global batch size: 256 | lm loss: 2.973299E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.638 | TFLOPs: 28.57 | 7: iteration 11830/ 37905 | consumed samples: 3028480 | consumed tokens: 6202327040 | elapsed time per iteration (s): 0.23 | learning rate: 1.617E-04 | global batch size: 256 | lm loss: 2.909311E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.754 | TFLOPs: 28.25 | 7: iteration 11840/ 37905 | consumed samples: 3031040 | consumed tokens: 6207569920 | elapsed time per iteration (s): 0.23 | learning rate: 1.617E-04 | global batch size: 256 | lm loss: 2.957707E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.353 | TFLOPs: 28.54 | 7: iteration 11850/ 37905 | consumed samples: 3033600 | consumed tokens: 6212812800 | elapsed time per iteration (s): 0.24 | learning rate: 1.616E-04 | global batch size: 256 | lm loss: 2.991082E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.435 | TFLOPs: 27.52 | 7: iteration 11860/ 37905 | consumed samples: 3036160 | consumed tokens: 6218055680 | elapsed time per iteration (s): 0.23 | learning rate: 1.615E-04 | global batch size: 256 | lm loss: 2.917403E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1128.432 | TFLOPs: 28.75 | 7: iteration 11870/ 37905 | consumed samples: 3038720 | consumed tokens: 6223298560 | elapsed time per iteration (s): 0.23 | learning rate: 1.615E-04 | global batch size: 256 | lm loss: 2.972582E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.349 | TFLOPs: 28.69 | 7: iteration 11880/ 37905 | consumed samples: 3041280 | consumed tokens: 6228541440 | elapsed time per iteration (s): 0.23 | learning rate: 1.614E-04 | global batch size: 256 | lm loss: 2.966423E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.701 | TFLOPs: 28.27 | 7: iteration 11890/ 37905 | consumed samples: 3043840 | consumed tokens: 6233784320 | elapsed time per iteration (s): 0.23 | learning rate: 1.613E-04 | global batch size: 256 | lm loss: 2.988127E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.762 | TFLOPs: 28.53 | 7: iteration 11900/ 37905 | consumed samples: 3046400 | consumed tokens: 6239027200 | elapsed time per iteration (s): 0.23 | learning rate: 1.613E-04 | global batch size: 256 | lm loss: 2.940133E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.375 | TFLOPs: 28.13 | 7: iteration 11910/ 37905 | consumed samples: 3048960 | consumed tokens: 6244270080 | elapsed time per iteration (s): 0.23 | learning rate: 1.612E-04 | global batch size: 256 | lm loss: 3.001852E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.661 | TFLOPs: 28.29 | 7: iteration 11920/ 37905 | consumed samples: 3051520 | consumed tokens: 6249512960 | elapsed time per iteration (s): 0.23 | learning rate: 1.612E-04 | global batch size: 256 | lm loss: 2.998656E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.039 | TFLOPs: 28.56 | 7: iteration 11930/ 37905 | consumed samples: 3054080 | consumed tokens: 6254755840 | elapsed time per iteration (s): 0.23 | learning rate: 1.611E-04 | global batch size: 256 | lm loss: 2.993113E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.440 | TFLOPs: 28.59 | 7: iteration 11940/ 37905 | consumed samples: 3056640 | consumed tokens: 6259998720 | elapsed time per iteration (s): 0.23 | learning rate: 1.610E-04 | global batch size: 256 | lm loss: 2.992405E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.762 | TFLOPs: 28.19 | 7: iteration 11950/ 37905 | consumed samples: 3059200 | consumed tokens: 6265241600 | elapsed time per iteration (s): 0.23 | learning rate: 1.610E-04 | global batch size: 256 | lm loss: 2.928448E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.657 | TFLOPs: 28.29 | 7: iteration 11960/ 37905 | consumed samples: 3061760 | consumed tokens: 6270484480 | elapsed time per iteration (s): 0.23 | learning rate: 1.609E-04 | global batch size: 256 | lm loss: 2.969697E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.026 | TFLOPs: 28.33 | 7: iteration 11970/ 37905 | consumed samples: 3064320 | consumed tokens: 6275727360 | elapsed time per iteration (s): 0.23 | learning rate: 1.608E-04 | global batch size: 256 | lm loss: 2.965279E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.682 | TFLOPs: 28.32 | 7: iteration 11980/ 37905 | consumed samples: 3066880 | consumed tokens: 6280970240 | elapsed time per iteration (s): 0.25 | learning rate: 1.608E-04 | global batch size: 256 | lm loss: 2.999356E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1009.282 | TFLOPs: 25.71 | 7: iteration 11990/ 37905 | consumed samples: 3069440 | consumed tokens: 6286213120 | elapsed time per iteration (s): 0.23 | learning rate: 1.607E-04 | global batch size: 256 | lm loss: 2.967404E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.876 | TFLOPs: 28.71 | 0: [2022-11-24 18:14:43,325] [INFO] [logging.py:68:log_dist] [Rank 0] step=12000, skipped=0, lr=[0.00016066300925507844, 0.00016066300925507844, 0.00016066300925507844], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 12000/ 37905 | consumed samples: 3072000 | consumed tokens: 6291456000 | elapsed time per iteration (s): 0.23 | learning rate: 1.607E-04 | global batch size: 256 | lm loss: 2.997539E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.227 | TFLOPs: 28.61 | 0: steps: 12000 loss: 3.0579 iter time (s): 0.230 samples/sec: 1113.053 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 12000 | lm loss value: 2.896087E+00 | lm loss PPL: 1.810317E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 12000 to checkpoints_83mwarmup 0: [2022-11-24 18:14:43,415] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step12000 is begin to save! 0: [2022-11-24 18:14:43,418] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step12000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:14:43,504] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step12000/layer_01-model_00-model_states.pt. 0: [2022-11-24 18:14:43,505] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step12000/layer_03-model_00-model_states.pt... 0: [2022-11-24 18:14:43,516] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step12000/layer_03-model_00-model_states.pt. 0: [2022-11-24 18:14:43,516] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step12000/layer_04-model_00-model_states.pt... 0: [2022-11-24 18:14:43,527] 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checkpoints_83mwarmup/global_step12000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-24 18:14:43,667] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 0: successfully saved checkpoint at iteration 12000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 254.85 7: iteration 12010/ 37905 | consumed samples: 3074560 | consumed tokens: 6296698880 | elapsed time per iteration (s): 0.26 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 2.963382E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 981.014 | TFLOPs: 24.99 | 7: iteration 12020/ 37905 | consumed samples: 3077120 | consumed tokens: 6301941760 | elapsed time per iteration (s): 0.23 | learning rate: 1.605E-04 | global batch size: 256 | lm loss: 2.925275E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.814 | TFLOPs: 28.17 | 7: iteration 12030/ 37905 | consumed samples: 3079680 | consumed tokens: 6307184640 | elapsed time per iteration (s): 0.23 | learning rate: 1.605E-04 | global batch size: 256 | lm loss: 2.941807E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.512 | TFLOPs: 28.29 | 7: iteration 12040/ 37905 | consumed samples: 3082240 | consumed tokens: 6312427520 | elapsed time per iteration (s): 0.24 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 2.961632E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1063.995 | TFLOPs: 27.11 | 7: iteration 12050/ 37905 | consumed samples: 3084800 | consumed tokens: 6317670400 | elapsed time per iteration (s): 0.23 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 2.940409E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.918 | TFLOPs: 28.56 | 7: iteration 12060/ 37905 | consumed samples: 3087360 | consumed tokens: 6322913280 | elapsed time per iteration (s): 0.23 | learning rate: 1.603E-04 | global batch size: 256 | lm loss: 2.948696E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.317 | TFLOPs: 28.44 | 7: iteration 12070/ 37905 | consumed samples: 3089920 | consumed tokens: 6328156160 | elapsed time per iteration (s): 0.23 | learning rate: 1.602E-04 | global batch size: 256 | lm loss: 2.974302E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.463 | TFLOPs: 28.34 | 7: iteration 12080/ 37905 | consumed samples: 3092480 | consumed tokens: 6333399040 | elapsed time per iteration (s): 0.23 | learning rate: 1.602E-04 | global batch size: 256 | lm loss: 2.955547E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.656 | TFLOPs: 28.37 | 7: iteration 12090/ 37905 | consumed samples: 3095040 | consumed tokens: 6338641920 | elapsed time per iteration (s): 0.23 | learning rate: 1.601E-04 | global batch size: 256 | lm loss: 2.950925E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.895 | TFLOPs: 28.61 | 7: iteration 12100/ 37905 | consumed samples: 3097600 | consumed tokens: 6343884800 | elapsed time per iteration (s): 0.23 | learning rate: 1.600E-04 | global batch size: 256 | lm loss: 2.945747E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.024 | TFLOPs: 27.92 | 7: iteration 12110/ 37905 | consumed samples: 3100160 | consumed tokens: 6349127680 | elapsed time per iteration (s): 0.23 | learning rate: 1.600E-04 | global batch size: 256 | lm loss: 2.918483E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.454 | TFLOPs: 27.88 | 7: iteration 12120/ 37905 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 0.23 | learning rate: 1.599E-04 | global batch size: 256 | lm loss: 2.978173E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.225 | TFLOPs: 28.41 | 7: iteration 12130/ 37905 | consumed samples: 3105280 | consumed tokens: 6359613440 | elapsed time per iteration (s): 0.23 | learning rate: 1.599E-04 | global batch size: 256 | lm loss: 2.984936E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.146 | TFLOPs: 28.26 | 7: iteration 12140/ 37905 | consumed samples: 3107840 | consumed tokens: 6364856320 | elapsed time per iteration (s): 0.23 | learning rate: 1.598E-04 | global batch size: 256 | lm loss: 2.980447E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.764 | TFLOPs: 28.30 | 7: iteration 12150/ 37905 | consumed samples: 3110400 | consumed tokens: 6370099200 | elapsed time per iteration (s): 0.23 | learning rate: 1.597E-04 | global batch size: 256 | lm loss: 2.988403E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.086 | TFLOPs: 28.64 | 7: iteration 12160/ 37905 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 0.23 | learning rate: 1.597E-04 | global batch size: 256 | lm loss: 2.948198E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.706 | TFLOPs: 28.58 | 7: iteration 12170/ 37905 | consumed samples: 3115520 | consumed tokens: 6380584960 | elapsed time per iteration (s): 0.23 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 2.908516E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.180 | TFLOPs: 28.64 | 7: iteration 12180/ 37905 | consumed samples: 3118080 | consumed tokens: 6385827840 | elapsed time per iteration (s): 0.23 | learning rate: 1.595E-04 | global batch size: 256 | lm loss: 2.947970E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.988 | TFLOPs: 28.61 | 7: iteration 12190/ 37905 | consumed samples: 3120640 | consumed tokens: 6391070720 | elapsed time per iteration (s): 0.23 | learning rate: 1.595E-04 | global batch size: 256 | lm loss: 2.948605E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.743 | TFLOPs: 28.12 | 7: iteration 12200/ 37905 | consumed samples: 3123200 | consumed tokens: 6396313600 | elapsed time per iteration (s): 0.23 | learning rate: 1.594E-04 | global batch size: 256 | lm loss: 2.989176E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.358 | TFLOPs: 28.57 | 7: iteration 12210/ 37905 | consumed samples: 3125760 | consumed tokens: 6401556480 | elapsed time per iteration (s): 0.23 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 2.981526E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.371 | TFLOPs: 28.59 | 7: iteration 12220/ 37905 | consumed samples: 3128320 | consumed tokens: 6406799360 | elapsed time per iteration (s): 0.23 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 2.970503E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.181 | TFLOPs: 28.08 | 7: iteration 12230/ 37905 | consumed samples: 3130880 | consumed tokens: 6412042240 | elapsed time per iteration (s): 0.24 | learning rate: 1.592E-04 | global batch size: 256 | lm loss: 2.964637E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.081 | TFLOPs: 27.67 | 7: iteration 12240/ 37905 | consumed samples: 3133440 | consumed tokens: 6417285120 | elapsed time per iteration (s): 0.23 | learning rate: 1.592E-04 | global batch size: 256 | lm loss: 2.928793E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.045 | TFLOPs: 28.25 | 7: iteration 12250/ 37905 | consumed samples: 3136000 | consumed tokens: 6422528000 | elapsed time per iteration (s): 0.23 | learning rate: 1.591E-04 | global batch size: 256 | lm loss: 2.967429E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.318 | TFLOPs: 28.59 | 7: iteration 12260/ 37905 | consumed samples: 3138560 | consumed tokens: 6427770880 | elapsed time per iteration (s): 0.23 | learning rate: 1.590E-04 | global batch size: 256 | lm loss: 2.971609E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.361 | TFLOPs: 28.62 | 7: iteration 12270/ 37905 | consumed samples: 3141120 | consumed tokens: 6433013760 | elapsed time per iteration (s): 0.23 | learning rate: 1.590E-04 | global batch size: 256 | lm loss: 2.965284E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.417 | TFLOPs: 28.72 | 7: iteration 12280/ 37905 | consumed samples: 3143680 | consumed tokens: 6438256640 | elapsed time per iteration (s): 0.23 | learning rate: 1.589E-04 | global batch size: 256 | lm loss: 2.965927E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1130.916 | TFLOPs: 28.81 | 7: iteration 12290/ 37905 | consumed samples: 3146240 | consumed tokens: 6443499520 | elapsed time per iteration (s): 0.23 | learning rate: 1.588E-04 | global batch size: 256 | lm loss: 2.976425E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1129.352 | TFLOPs: 28.77 | 7: iteration 12300/ 37905 | consumed samples: 3148800 | consumed tokens: 6448742400 | elapsed time per iteration (s): 0.23 | learning rate: 1.588E-04 | global batch size: 256 | lm loss: 2.961354E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.004 | TFLOPs: 28.28 | 7: iteration 12310/ 37905 | consumed samples: 3151360 | consumed tokens: 6453985280 | elapsed time per iteration (s): 0.23 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 2.983724E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1129.123 | TFLOPs: 28.76 | 7: iteration 12320/ 37905 | consumed samples: 3153920 | consumed tokens: 6459228160 | elapsed time per iteration (s): 0.23 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 2.952265E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.153 | TFLOPs: 28.03 | 7: iteration 12330/ 37905 | consumed samples: 3156480 | consumed tokens: 6464471040 | elapsed time per iteration (s): 0.23 | learning rate: 1.586E-04 | global batch size: 256 | lm loss: 2.994085E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.294 | TFLOPs: 28.06 | 7: iteration 12340/ 37905 | consumed samples: 3159040 | consumed tokens: 6469713920 | elapsed time per iteration (s): 0.25 | learning rate: 1.585E-04 | global batch size: 256 | lm loss: 2.981397E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1028.589 | TFLOPs: 26.20 | 7: iteration 12350/ 37905 | consumed samples: 3161600 | consumed tokens: 6474956800 | elapsed time per iteration (s): 0.23 | learning rate: 1.585E-04 | global batch size: 256 | lm loss: 2.962807E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.521 | TFLOPs: 28.47 | 7: iteration 12360/ 37905 | consumed samples: 3164160 | consumed tokens: 6480199680 | elapsed time per iteration (s): 0.23 | learning rate: 1.584E-04 | global batch size: 256 | lm loss: 2.969132E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.198 | TFLOPs: 27.98 | 7: iteration 12370/ 37905 | consumed samples: 3166720 | consumed tokens: 6485442560 | elapsed time per iteration (s): 0.23 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 2.959348E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.202 | TFLOPs: 28.54 | 7: iteration 12380/ 37905 | consumed samples: 3169280 | consumed tokens: 6490685440 | elapsed time per iteration (s): 0.23 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 2.973989E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.776 | TFLOPs: 28.25 | 7: iteration 12390/ 37905 | consumed samples: 3171840 | consumed tokens: 6495928320 | elapsed time per iteration (s): 0.23 | learning rate: 1.582E-04 | global batch size: 256 | lm loss: 2.933162E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.086 | TFLOPs: 28.41 | 7: iteration 12400/ 37905 | consumed samples: 3174400 | consumed tokens: 6501171200 | elapsed time per iteration (s): 0.23 | learning rate: 1.581E-04 | global batch size: 256 | lm loss: 2.994485E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.015 | TFLOPs: 28.30 | 7: iteration 12410/ 37905 | consumed samples: 3176960 | consumed tokens: 6506414080 | elapsed time per iteration (s): 0.24 | learning rate: 1.581E-04 | global batch size: 256 | lm loss: 2.997242E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.885 | TFLOPs: 27.66 | 7: iteration 12420/ 37905 | consumed samples: 3179520 | consumed tokens: 6511656960 | elapsed time per iteration (s): 0.23 | learning rate: 1.580E-04 | global batch size: 256 | lm loss: 2.960364E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1128.639 | TFLOPs: 28.75 | 7: iteration 12430/ 37905 | consumed samples: 3182080 | consumed tokens: 6516899840 | elapsed time per iteration (s): 0.23 | learning rate: 1.580E-04 | global batch size: 256 | lm loss: 2.969682E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1130.092 | TFLOPs: 28.79 | 7: iteration 12440/ 37905 | consumed samples: 3184640 | consumed tokens: 6522142720 | elapsed time per iteration (s): 0.26 | learning rate: 1.579E-04 | global batch size: 256 | lm loss: 2.943899E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 988.793 | TFLOPs: 25.19 | 7: iteration 12450/ 37905 | consumed samples: 3187200 | consumed tokens: 6527385600 | elapsed time per iteration (s): 0.23 | learning rate: 1.578E-04 | global batch size: 256 | lm loss: 2.967650E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.342 | TFLOPs: 28.54 | 7: iteration 12460/ 37905 | consumed samples: 3189760 | consumed tokens: 6532628480 | elapsed time per iteration (s): 0.23 | learning rate: 1.578E-04 | global batch size: 256 | lm loss: 2.995303E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.289 | TFLOPs: 28.59 | 7: iteration 12470/ 37905 | consumed samples: 3192320 | consumed tokens: 6537871360 | elapsed time per iteration (s): 0.23 | learning rate: 1.577E-04 | global batch size: 256 | lm loss: 2.965450E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1128.667 | TFLOPs: 28.75 | 7: iteration 12480/ 37905 | consumed samples: 3194880 | consumed tokens: 6543114240 | elapsed time per iteration (s): 0.23 | learning rate: 1.576E-04 | global batch size: 256 | lm loss: 2.934288E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.546 | TFLOPs: 28.72 | 7: iteration 12490/ 37905 | consumed samples: 3197440 | consumed tokens: 6548357120 | elapsed time per iteration (s): 0.23 | learning rate: 1.576E-04 | global batch size: 256 | lm loss: 2.933138E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.628 | TFLOPs: 28.70 | 7: iteration 12500/ 37905 | consumed samples: 3200000 | consumed tokens: 6553600000 | elapsed time per iteration (s): 0.23 | learning rate: 1.575E-04 | global batch size: 256 | lm loss: 2.941490E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.127 | TFLOPs: 28.56 | 7: iteration 12510/ 37905 | consumed samples: 3202560 | consumed tokens: 6558842880 | elapsed time per iteration (s): 0.24 | learning rate: 1.574E-04 | global batch size: 256 | lm loss: 2.937170E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1050.644 | TFLOPs: 26.77 | 7: iteration 12520/ 37905 | consumed samples: 3205120 | consumed tokens: 6564085760 | elapsed time per iteration (s): 0.23 | learning rate: 1.574E-04 | global batch size: 256 | lm loss: 2.972456E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.051 | TFLOPs: 28.69 | 7: iteration 12530/ 37905 | consumed samples: 3207680 | consumed tokens: 6569328640 | elapsed time per iteration (s): 0.23 | learning rate: 1.573E-04 | global batch size: 256 | lm loss: 2.944886E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.380 | TFLOPs: 28.49 | 7: iteration 12540/ 37905 | consumed samples: 3210240 | consumed tokens: 6574571520 | elapsed time per iteration (s): 0.23 | learning rate: 1.572E-04 | global batch size: 256 | lm loss: 2.924708E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.689 | TFLOPs: 28.70 | 7: iteration 12550/ 37905 | consumed samples: 3212800 | consumed tokens: 6579814400 | elapsed time per iteration (s): 0.23 | learning rate: 1.572E-04 | global batch size: 256 | lm loss: 2.962032E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.823 | TFLOPs: 28.60 | 7: iteration 12560/ 37905 | consumed samples: 3215360 | consumed tokens: 6585057280 | elapsed time per iteration (s): 0.23 | learning rate: 1.571E-04 | global batch size: 256 | lm loss: 3.000148E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.393 | TFLOPs: 28.54 | 7: iteration 12570/ 37905 | consumed samples: 3217920 | consumed tokens: 6590300160 | elapsed time per iteration (s): 0.23 | learning rate: 1.571E-04 | global batch size: 256 | lm loss: 2.961176E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.712 | TFLOPs: 28.27 | 7: iteration 12580/ 37905 | consumed samples: 3220480 | consumed tokens: 6595543040 | elapsed time per iteration (s): 0.23 | learning rate: 1.570E-04 | global batch size: 256 | lm loss: 2.959084E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.290 | TFLOPs: 28.51 | 7: iteration 12590/ 37905 | consumed samples: 3223040 | consumed tokens: 6600785920 | elapsed time per iteration (s): 0.23 | learning rate: 1.569E-04 | global batch size: 256 | lm loss: 2.985316E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.454 | TFLOPs: 28.44 | 7: iteration 12600/ 37905 | consumed samples: 3225600 | consumed tokens: 6606028800 | elapsed time per iteration (s): 0.23 | learning rate: 1.569E-04 | global batch size: 256 | lm loss: 2.952794E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.975 | TFLOPs: 28.38 | 7: iteration 12610/ 37905 | consumed samples: 3228160 | consumed tokens: 6611271680 | elapsed time per iteration (s): 0.23 | learning rate: 1.568E-04 | global batch size: 256 | lm loss: 2.948664E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.742 | TFLOPs: 28.12 | 7: iteration 12620/ 37905 | consumed samples: 3230720 | consumed tokens: 6616514560 | elapsed time per iteration (s): 0.23 | learning rate: 1.567E-04 | global batch size: 256 | lm loss: 2.929127E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.049 | TFLOPs: 28.20 | 7: iteration 12630/ 37905 | consumed samples: 3233280 | consumed tokens: 6621757440 | elapsed time per iteration (s): 0.24 | learning rate: 1.567E-04 | global batch size: 256 | lm loss: 2.994965E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1054.808 | TFLOPs: 26.87 | 7: iteration 12640/ 37905 | consumed samples: 3235840 | consumed tokens: 6627000320 | elapsed time per iteration (s): 0.23 | learning rate: 1.566E-04 | global batch size: 256 | lm loss: 2.961567E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.662 | TFLOPs: 28.63 | 7: iteration 12650/ 37905 | consumed samples: 3238400 | consumed tokens: 6632243200 | elapsed time per iteration (s): 0.23 | learning rate: 1.565E-04 | global batch size: 256 | lm loss: 2.940471E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.465 | TFLOPs: 28.34 | 7: iteration 12660/ 37905 | consumed samples: 3240960 | consumed tokens: 6637486080 | elapsed time per iteration (s): 0.23 | learning rate: 1.565E-04 | global batch size: 256 | lm loss: 2.953640E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.494 | TFLOPs: 28.24 | 7: iteration 12670/ 37905 | consumed samples: 3243520 | consumed tokens: 6642728960 | elapsed time per iteration (s): 0.23 | learning rate: 1.564E-04 | global batch size: 256 | lm loss: 2.947810E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.334 | TFLOPs: 27.93 | 7: iteration 12680/ 37905 | consumed samples: 3246080 | consumed tokens: 6647971840 | elapsed time per iteration (s): 0.23 | learning rate: 1.563E-04 | global batch size: 256 | lm loss: 2.987581E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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1.543E-04 | global batch size: 256 | lm loss: 2.963648E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.459 | TFLOPs: 27.73 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 13000 | lm loss value: 2.826194E+00 | lm loss PPL: 1.688108E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 13000 to checkpoints_83mwarmup 0: [2022-11-24 18:18:35,202] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step13000 is begin to save! 0: [2022-11-24 18:18:35,205] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step13000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:18:35,278] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-24 18:18:35,442] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-24 18:18:35,442] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 2: [2022-11-24 18:18:35,442] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 6: [2022-11-24 18:18:35,442] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 3: [2022-11-24 18:18:35,442] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 6: [2022-11-24 18:18:35,443] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 2: [2022-11-24 18:18:35,442] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 7: [2022-11-24 18:18:35,443] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 2: [2022-11-24 18:18:35,443] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 6: [2022-11-24 18:18:35,443] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-24 18:18:35,443] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 3: [2022-11-24 18:18:35,443] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-24 18:18:35,443] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-24 18:18:35,443] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 6: [2022-11-24 18:18:35,443] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 7: [2022-11-24 18:18:35,443] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 6: [2022-11-24 18:18:35,443] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 3: [2022-11-24 18:18:35,443] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-24 18:18:35,443] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-24 18:18:35,443] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-24 18:18:35,445] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-24 18:18:35,445] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step13000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-24 18:18:35,445] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 0: successfully saved checkpoint at iteration 13000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 247.48 7: iteration 13010/ 37905 | consumed samples: 3330560 | consumed tokens: 6820986880 | elapsed time per iteration (s): 0.26 | learning rate: 1.542E-04 | global batch size: 256 | lm loss: 2.966496E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 981.381 | TFLOPs: 25.00 | 7: iteration 13020/ 37905 | consumed samples: 3333120 | consumed tokens: 6826229760 | elapsed time per iteration (s): 0.23 | learning rate: 1.541E-04 | global batch size: 256 | lm loss: 2.942699E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.554 | TFLOPs: 28.09 | 7: iteration 13030/ 37905 | consumed samples: 3335680 | consumed tokens: 6831472640 | elapsed time per iteration (s): 0.23 | learning rate: 1.541E-04 | global batch size: 256 | lm loss: 2.930893E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.081 | TFLOPs: 28.56 | 7: iteration 13040/ 37905 | consumed samples: 3338240 | consumed tokens: 6836715520 | elapsed time per iteration (s): 0.23 | learning rate: 1.540E-04 | global batch size: 256 | lm loss: 2.956635E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.199 | TFLOPs: 28.23 | 7: iteration 13050/ 37905 | consumed samples: 3340800 | consumed tokens: 6841958400 | elapsed time per iteration (s): 0.23 | learning rate: 1.539E-04 | global batch size: 256 | lm loss: 2.906915E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.539 | TFLOPs: 28.32 | 7: iteration 13060/ 37905 | consumed samples: 3343360 | consumed tokens: 6847201280 | elapsed time per iteration (s): 0.23 | learning rate: 1.539E-04 | global batch size: 256 | lm loss: 2.941954E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.550 | TFLOPs: 28.47 | 7: iteration 13070/ 37905 | consumed samples: 3345920 | consumed tokens: 6852444160 | elapsed time per iteration (s): 0.23 | learning rate: 1.538E-04 | global batch size: 256 | lm loss: 2.966372E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.919 | TFLOPs: 28.53 | 7: iteration 13080/ 37905 | consumed samples: 3348480 | consumed tokens: 6857687040 | elapsed time per iteration (s): 0.23 | learning rate: 1.537E-04 | global batch size: 256 | lm loss: 2.975359E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.714 | TFLOPs: 28.55 | 7: iteration 13090/ 37905 | consumed samples: 3351040 | consumed tokens: 6862929920 | elapsed time per iteration (s): 0.26 | learning rate: 1.537E-04 | global batch size: 256 | lm loss: 2.947760E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1002.499 | TFLOPs: 25.54 | 7: iteration 13100/ 37905 | consumed samples: 3353600 | consumed tokens: 6868172800 | elapsed time per iteration (s): 0.23 | learning rate: 1.536E-04 | global batch size: 256 | lm loss: 2.980839E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.754 | TFLOPs: 27.97 | 7: iteration 13110/ 37905 | consumed samples: 3356160 | consumed tokens: 6873415680 | elapsed time per iteration (s): 0.23 | learning rate: 1.535E-04 | global batch size: 256 | lm loss: 2.947882E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.612 | TFLOPs: 28.11 | 7: iteration 13120/ 37905 | consumed samples: 3358720 | consumed tokens: 6878658560 | elapsed time per iteration (s): 0.23 | learning rate: 1.535E-04 | global batch size: 256 | lm loss: 2.958123E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.176 | TFLOPs: 28.36 | 7: iteration 13130/ 37905 | consumed samples: 3361280 | consumed tokens: 6883901440 | elapsed time per iteration (s): 0.23 | learning rate: 1.534E-04 | global batch size: 256 | lm loss: 2.926377E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.819 | TFLOPs: 28.50 | 7: iteration 13140/ 37905 | consumed samples: 3363840 | consumed tokens: 6889144320 | elapsed time per iteration (s): 0.24 | learning rate: 1.533E-04 | global batch size: 256 | lm loss: 2.906349E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.682 | TFLOPs: 27.61 | 7: iteration 13150/ 37905 | consumed samples: 3366400 | consumed tokens: 6894387200 | elapsed time per iteration (s): 0.23 | learning rate: 1.533E-04 | global batch size: 256 | lm loss: 2.956124E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.216 | TFLOPs: 28.44 | 7: iteration 13160/ 37905 | consumed samples: 3368960 | consumed tokens: 6899630080 | elapsed time per iteration (s): 0.23 | learning rate: 1.532E-04 | global batch size: 256 | lm loss: 2.959281E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.716 | TFLOPs: 28.02 | 7: iteration 13170/ 37905 | consumed samples: 3371520 | consumed tokens: 6904872960 | elapsed time per iteration (s): 0.23 | learning rate: 1.531E-04 | global batch size: 256 | lm loss: 2.950578E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.074 | TFLOPs: 28.33 | 7: iteration 13180/ 37905 | consumed samples: 3374080 | consumed tokens: 6910115840 | elapsed time per iteration (s): 0.23 | learning rate: 1.531E-04 | global batch size: 256 | lm loss: 2.915609E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.808 | TFLOPs: 28.22 | 7: iteration 13190/ 37905 | consumed samples: 3376640 | consumed tokens: 6915358720 | elapsed time per iteration (s): 0.23 | learning rate: 1.530E-04 | global batch size: 256 | lm loss: 2.960651E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.831 | TFLOPs: 28.48 | 7: iteration 13200/ 37905 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 0.23 | learning rate: 1.529E-04 | global batch size: 256 | lm loss: 2.949366E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.451 | TFLOPs: 28.29 | 7: iteration 13210/ 37905 | consumed samples: 3381760 | consumed tokens: 6925844480 | elapsed time per iteration (s): 0.23 | learning rate: 1.529E-04 | global batch size: 256 | lm loss: 2.911776E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.157 | TFLOPs: 28.61 | 7: iteration 13220/ 37905 | consumed samples: 3384320 | consumed tokens: 6931087360 | elapsed time per iteration (s): 0.23 | learning rate: 1.528E-04 | global batch size: 256 | lm loss: 2.971319E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.997 | TFLOPs: 28.00 | 7: iteration 13230/ 37905 | consumed samples: 3386880 | consumed tokens: 6936330240 | elapsed time per iteration (s): 0.23 | learning rate: 1.527E-04 | global batch size: 256 | lm loss: 2.959417E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.484 | TFLOPs: 28.16 | 7: iteration 13240/ 37905 | consumed samples: 3389440 | consumed tokens: 6941573120 | elapsed time per iteration (s): 0.23 | learning rate: 1.527E-04 | global batch size: 256 | lm loss: 2.955312E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.276 | TFLOPs: 28.59 | 7: iteration 13250/ 37905 | consumed samples: 3392000 | consumed tokens: 6946816000 | elapsed time per iteration (s): 0.23 | learning rate: 1.526E-04 | global batch size: 256 | lm loss: 2.960604E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.531 | TFLOPs: 28.60 | 7: iteration 13260/ 37905 | consumed samples: 3394560 | consumed tokens: 6952058880 | elapsed time per iteration (s): 0.23 | learning rate: 1.525E-04 | global batch size: 256 | lm loss: 2.967841E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.875 | TFLOPs: 28.20 | 7: iteration 13270/ 37905 | consumed samples: 3397120 | consumed tokens: 6957301760 | elapsed time per iteration (s): 0.23 | learning rate: 1.525E-04 | global batch size: 256 | lm loss: 2.964322E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.290 | TFLOPs: 28.18 | 7: iteration 13280/ 37905 | consumed samples: 3399680 | consumed tokens: 6962544640 | elapsed time per iteration (s): 0.25 | learning rate: 1.524E-04 | global batch size: 256 | lm loss: 2.917776E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1044.629 | TFLOPs: 26.61 | 7: iteration 13290/ 37905 | consumed samples: 3402240 | consumed tokens: 6967787520 | elapsed time per iteration (s): 0.23 | learning rate: 1.524E-04 | global batch size: 256 | lm loss: 2.974412E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.526 | TFLOPs: 28.44 | 7: iteration 13300/ 37905 | consumed samples: 3404800 | consumed tokens: 6973030400 | elapsed time per iteration (s): 0.23 | learning rate: 1.523E-04 | global batch size: 256 | lm loss: 2.959697E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.464 | TFLOPs: 28.21 | 7: iteration 13310/ 37905 | consumed samples: 3407360 | consumed tokens: 6978273280 | elapsed time per iteration (s): 0.23 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 2.964548E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.951 | TFLOPs: 28.12 | 7: iteration 13320/ 37905 | consumed samples: 3409920 | consumed tokens: 6983516160 | elapsed time per iteration (s): 0.23 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 2.947267E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.085 | TFLOPs: 27.95 | 7: iteration 13330/ 37905 | consumed samples: 3412480 | consumed tokens: 6988759040 | elapsed time per iteration (s): 0.23 | learning rate: 1.521E-04 | global batch size: 256 | lm loss: 2.938027E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.394 | TFLOPs: 28.03 | 7: iteration 13340/ 37905 | consumed samples: 3415040 | consumed tokens: 6994001920 | elapsed time per iteration (s): 0.23 | learning rate: 1.520E-04 | global batch size: 256 | lm loss: 2.946447E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.097 | TFLOPs: 27.82 | 7: iteration 13350/ 37905 | consumed samples: 3417600 | consumed tokens: 6999244800 | elapsed time per iteration (s): 0.24 | learning rate: 1.520E-04 | global batch size: 256 | lm loss: 2.937236E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.831 | TFLOPs: 27.74 | 7: iteration 13360/ 37905 | consumed samples: 3420160 | consumed tokens: 7004487680 | elapsed time per iteration (s): 0.23 | learning rate: 1.519E-04 | global batch size: 256 | lm loss: 2.950502E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.028 | TFLOPs: 28.35 | 7: iteration 13370/ 37905 | consumed samples: 3422720 | consumed tokens: 7009730560 | elapsed time per iteration (s): 0.23 | learning rate: 1.518E-04 | global batch size: 256 | lm loss: 2.948390E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.810 | TFLOPs: 27.81 | 7: iteration 13380/ 37905 | consumed samples: 3425280 | consumed tokens: 7014973440 | elapsed time per iteration (s): 0.24 | learning rate: 1.518E-04 | global batch size: 256 | lm loss: 2.938478E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.682 | TFLOPs: 27.58 | 7: iteration 13390/ 37905 | consumed samples: 3427840 | consumed tokens: 7020216320 | elapsed time per iteration (s): 0.23 | learning rate: 1.517E-04 | global batch size: 256 | lm loss: 2.948773E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.467 | TFLOPs: 27.83 | 7: iteration 13400/ 37905 | consumed samples: 3430400 | consumed tokens: 7025459200 | elapsed time per iteration (s): 0.23 | learning rate: 1.516E-04 | global batch size: 256 | lm loss: 2.950499E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.085 | TFLOPs: 28.53 | 7: iteration 13410/ 37905 | consumed samples: 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samples per second: 1098.490 | TFLOPs: 27.98 | 7: iteration 13470/ 37905 | consumed samples: 3448320 | consumed tokens: 7062159360 | elapsed time per iteration (s): 0.23 | learning rate: 1.511E-04 | global batch size: 256 | lm loss: 2.915961E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.936 | TFLOPs: 28.40 | 7: iteration 13480/ 37905 | consumed samples: 3450880 | consumed tokens: 7067402240 | elapsed time per iteration (s): 0.24 | learning rate: 1.511E-04 | global batch size: 256 | lm loss: 2.942575E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.008 | TFLOPs: 27.23 | 7: iteration 13490/ 37905 | consumed samples: 3453440 | consumed tokens: 7072645120 | elapsed time per iteration (s): 0.23 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 2.929662E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.567 | TFLOPs: 28.42 | 7: iteration 13500/ 37905 | consumed samples: 3456000 | consumed tokens: 7077888000 | elapsed time per iteration (s): 0.23 | learning rate: 1.509E-04 | global batch size: 256 | lm loss: 2.920180E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.377 | TFLOPs: 28.24 | 7: iteration 13510/ 37905 | consumed samples: 3458560 | consumed tokens: 7083130880 | elapsed time per iteration (s): 0.24 | learning rate: 1.509E-04 | global batch size: 256 | lm loss: 2.967011E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.942 | TFLOPs: 27.64 | 7: iteration 13520/ 37905 | consumed samples: 3461120 | consumed tokens: 7088373760 | elapsed time per iteration (s): 0.23 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 2.967792E+00 | grad norm: 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size: 256 | lm loss: 2.954713E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.459 | TFLOPs: 28.14 | 7: iteration 13560/ 37905 | consumed samples: 3471360 | consumed tokens: 7109345280 | elapsed time per iteration (s): 0.23 | learning rate: 1.505E-04 | global batch size: 256 | lm loss: 2.938523E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.488 | TFLOPs: 28.11 | 7: iteration 13570/ 37905 | consumed samples: 3473920 | consumed tokens: 7114588160 | elapsed time per iteration (s): 0.23 | learning rate: 1.505E-04 | global batch size: 256 | lm loss: 2.963924E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.936 | TFLOPs: 28.12 | 7: iteration 13580/ 37905 | consumed samples: 3476480 | consumed tokens: 7119831040 | elapsed time per iteration (s): 0.23 | learning rate: 1.504E-04 | global batch size: 256 | lm loss: 2.949161E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.955 | TFLOPs: 28.15 | 7: iteration 13590/ 37905 | consumed samples: 3479040 | consumed tokens: 7125073920 | elapsed time per iteration (s): 0.24 | learning rate: 1.503E-04 | global batch size: 256 | lm loss: 2.931875E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.040 | TFLOPs: 27.54 | 7: iteration 13600/ 37905 | consumed samples: 3481600 | consumed tokens: 7130316800 | elapsed time per iteration (s): 0.23 | learning rate: 1.503E-04 | global batch size: 256 | lm loss: 2.995940E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.319 | TFLOPs: 28.26 | 7: iteration 13610/ 37905 | consumed samples: 3484160 | consumed tokens: 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iterations: 0 | samples per second: 1117.910 | TFLOPs: 28.48 | 7: iteration 13700/ 37905 | consumed samples: 3507200 | consumed tokens: 7182745600 | elapsed time per iteration (s): 0.23 | learning rate: 1.496E-04 | global batch size: 256 | lm loss: 2.979943E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.389 | TFLOPs: 28.26 | 7: iteration 13710/ 37905 | consumed samples: 3509760 | consumed tokens: 7187988480 | elapsed time per iteration (s): 0.23 | learning rate: 1.495E-04 | global batch size: 256 | lm loss: 2.943160E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.827 | TFLOPs: 28.17 | 7: iteration 13720/ 37905 | consumed samples: 3512320 | consumed tokens: 7193231360 | elapsed time per iteration (s): 0.23 | learning rate: 1.495E-04 | global batch size: 256 | lm loss: 2.919764E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.701 | TFLOPs: 28.55 | 7: iteration 13730/ 37905 | consumed samples: 3514880 | consumed tokens: 7198474240 | elapsed time per iteration (s): 0.25 | learning rate: 1.494E-04 | global batch size: 256 | lm loss: 2.956299E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1015.330 | TFLOPs: 25.87 | 7: iteration 13740/ 37905 | consumed samples: 3517440 | consumed tokens: 7203717120 | elapsed time per iteration (s): 0.23 | learning rate: 1.493E-04 | global batch size: 256 | lm loss: 2.960276E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.194 | TFLOPs: 27.77 | 7: iteration 13750/ 37905 | consumed samples: 3520000 | consumed tokens: 7208960000 | elapsed time per iteration (s): 0.23 | learning rate: 1.493E-04 | global batch size: 256 | lm loss: 2.960204E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.867 | TFLOPs: 28.50 | 7: iteration 13760/ 37905 | consumed samples: 3522560 | consumed tokens: 7214202880 | elapsed time per iteration (s): 0.23 | learning rate: 1.492E-04 | global batch size: 256 | lm loss: 2.920413E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.495 | TFLOPs: 28.72 | 7: iteration 13770/ 37905 | consumed samples: 3525120 | consumed tokens: 7219445760 | elapsed time per iteration (s): 0.23 | learning rate: 1.491E-04 | global batch size: 256 | lm loss: 2.991298E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.229 | TFLOPs: 28.46 | 7: iteration 13780/ 37905 | consumed samples: 3527680 | consumed tokens: 7224688640 | elapsed time per iteration (s): 0.23 | learning rate: 1.491E-04 | global batch size: 256 | lm loss: 2.927863E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.526 | TFLOPs: 28.62 | 7: iteration 13790/ 37905 | consumed samples: 3530240 | consumed tokens: 7229931520 | elapsed time per iteration (s): 0.23 | learning rate: 1.490E-04 | global batch size: 256 | lm loss: 2.960136E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.564 | TFLOPs: 28.22 | 7: iteration 13800/ 37905 | consumed samples: 3532800 | consumed tokens: 7235174400 | elapsed time per iteration (s): 0.25 | learning rate: 1.489E-04 | global batch size: 256 | lm loss: 2.967704E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1028.763 | TFLOPs: 26.21 | 7: iteration 13810/ 37905 | consumed samples: 3535360 | consumed tokens: 7240417280 | elapsed time per iteration (s): 0.23 | learning rate: 1.489E-04 | global batch size: 256 | lm loss: 2.923664E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.995 | TFLOPs: 28.23 | 7: iteration 13820/ 37905 | consumed samples: 3537920 | consumed tokens: 7245660160 | elapsed time per iteration (s): 0.23 | learning rate: 1.488E-04 | global batch size: 256 | lm loss: 2.945100E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.727 | TFLOPs: 28.60 | 7: iteration 13830/ 37905 | consumed samples: 3540480 | consumed tokens: 7250903040 | elapsed time per iteration (s): 0.23 | learning rate: 1.487E-04 | global batch size: 256 | lm loss: 2.970425E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.795 | TFLOPs: 28.22 | 7: iteration 13840/ 37905 | consumed samples: 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samples per second: 1113.613 | TFLOPs: 28.37 | 7: iteration 13900/ 37905 | consumed samples: 3558400 | consumed tokens: 7287603200 | elapsed time per iteration (s): 0.23 | learning rate: 1.482E-04 | global batch size: 256 | lm loss: 2.917902E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.000 | TFLOPs: 28.28 | 7: iteration 13910/ 37905 | consumed samples: 3560960 | consumed tokens: 7292846080 | elapsed time per iteration (s): 0.23 | learning rate: 1.482E-04 | global batch size: 256 | lm loss: 2.959040E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.522 | TFLOPs: 28.44 | 7: iteration 13920/ 37905 | consumed samples: 3563520 | consumed tokens: 7298088960 | elapsed time per iteration (s): 0.23 | learning rate: 1.481E-04 | global batch size: 256 | lm loss: 2.931241E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.613 | TFLOPs: 28.11 | 7: iteration 13930/ 37905 | consumed samples: 3566080 | consumed tokens: 7303331840 | elapsed time per iteration (s): 0.24 | learning rate: 1.480E-04 | global batch size: 256 | lm loss: 2.942268E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1046.885 | TFLOPs: 26.67 | 7: iteration 13940/ 37905 | consumed samples: 3568640 | consumed tokens: 7308574720 | elapsed time per iteration (s): 0.23 | learning rate: 1.480E-04 | global batch size: 256 | lm loss: 2.976647E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.577 | TFLOPs: 28.52 | 7: iteration 13950/ 37905 | consumed samples: 3571200 | consumed tokens: 7313817600 | elapsed time per iteration (s): 0.23 | learning rate: 1.479E-04 | global batch size: 256 | lm loss: 2.963329E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.056 | TFLOPs: 28.53 | 7: iteration 13960/ 37905 | consumed samples: 3573760 | consumed tokens: 7319060480 | elapsed time per iteration (s): 0.23 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 2.949677E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.351 | TFLOPs: 28.44 | 7: iteration 13970/ 37905 | consumed samples: 3576320 | consumed tokens: 7324303360 | elapsed time per iteration (s): 0.23 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 2.930538E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.580 | TFLOPs: 28.50 | 7: iteration 13980/ 37905 | consumed samples: 3578880 | consumed tokens: 7329546240 | elapsed time per iteration (s): 0.24 | learning rate: 1.477E-04 | global batch size: 256 | lm loss: 2.952801E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.119 | TFLOPs: 27.72 | 7: iteration 13990/ 37905 | consumed samples: 3581440 | consumed tokens: 7334789120 | elapsed time per iteration (s): 0.25 | learning rate: 1.476E-04 | global batch size: 256 | lm loss: 2.908313E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1043.207 | TFLOPs: 26.58 | 0: [2022-11-24 18:22:27,593] [INFO] [logging.py:68:log_dist] [Rank 0] step=14000, skipped=0, lr=[0.00014755779238876917, 0.00014755779238876917, 0.00014755779238876917], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 14000/ 37905 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 0.23 | learning rate: 1.476E-04 | global batch size: 256 | lm loss: 2.917434E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.992 | TFLOPs: 28.51 | 0: steps: 14000 loss: 2.9424 iter time (s): 0.230 samples/sec: 1112.126 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 14000 | lm loss value: 2.811264E+00 | lm loss PPL: 1.663093E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 14000 to checkpoints_83mwarmup 0: [2022-11-24 18:22:27,682] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step14000 is begin to save! 0: [2022-11-24 18:22:27,686] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step14000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:22:27,758] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step14000/layer_01-model_00-model_states.pt. 0: [2022-11-24 18:22:27,759] 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1: [2022-11-24 18:22:27,911] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 0: [2022-11-24 18:22:27,911] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 5: [2022-11-24 18:22:27,911] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step14000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-24 18:22:27,911] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step14000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-24 18:22:27,911] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 3: [2022-11-24 18:22:27,911] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step14000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-24 18:22:27,911] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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2: [2022-11-24 18:22:27,921] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step14000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-24 18:22:27,921] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 4: [2022-11-24 18:22:27,921] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step14000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-24 18:22:27,921] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 2: [2022-11-24 18:22:27,921] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step14000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2022-11-24 18:22:27,921] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step14000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-24 18:22:27,921] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 6: [2022-11-24 18:22:27,922] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step14000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-24 18:22:27,922] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step14000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-24 18:22:27,922] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 0: successfully saved checkpoint at iteration 14000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 243.25 7: iteration 14010/ 37905 | consumed samples: 3586560 | consumed tokens: 7345274880 | elapsed time per iteration (s): 0.26 | learning rate: 1.475E-04 | global batch size: 256 | lm loss: 2.989576E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 973.717 | TFLOPs: 24.81 | 7: iteration 14020/ 37905 | consumed samples: 3589120 | consumed tokens: 7350517760 | elapsed time per iteration (s): 0.24 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 2.953810E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.656 | TFLOPs: 27.68 | 7: iteration 14030/ 37905 | consumed samples: 3591680 | consumed tokens: 7355760640 | elapsed time per iteration (s): 0.23 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 2.966990E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.992 | TFLOPs: 28.58 | 7: iteration 14040/ 37905 | consumed samples: 3594240 | consumed tokens: 7361003520 | elapsed time per iteration (s): 0.23 | learning rate: 1.473E-04 | global batch size: 256 | lm loss: 2.932177E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.183 | TFLOPs: 28.15 | 7: iteration 14050/ 37905 | consumed samples: 3596800 | consumed tokens: 7366246400 | elapsed time per iteration (s): 0.23 | learning rate: 1.472E-04 | global batch size: 256 | lm loss: 2.914749E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.849 | TFLOPs: 27.94 | 7: iteration 14060/ 37905 | consumed samples: 3599360 | consumed tokens: 7371489280 | elapsed time per iteration (s): 0.23 | learning rate: 1.471E-04 | global batch size: 256 | lm loss: 2.928840E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.043 | TFLOPs: 28.38 | 7: iteration 14070/ 37905 | consumed samples: 3601920 | consumed tokens: 7376732160 | elapsed time per iteration (s): 0.23 | learning rate: 1.471E-04 | global batch size: 256 | lm loss: 2.905493E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.388 | TFLOPs: 28.11 | 7: iteration 14080/ 37905 | consumed samples: 3604480 | consumed tokens: 7381975040 | elapsed time per iteration (s): 0.23 | learning rate: 1.470E-04 | global batch size: 256 | lm loss: 2.955214E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.845 | TFLOPs: 28.38 | 7: iteration 14090/ 37905 | consumed samples: 3607040 | consumed tokens: 7387217920 | elapsed time per iteration (s): 0.23 | learning rate: 1.469E-04 | global batch size: 256 | lm loss: 2.912876E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.057 | TFLOPs: 28.38 | 7: iteration 14100/ 37905 | consumed samples: 3609600 | consumed tokens: 7392460800 | elapsed time per iteration (s): 0.23 | learning rate: 1.469E-04 | global batch size: 256 | lm loss: 2.948616E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.010 | TFLOPs: 28.25 | 7: iteration 14110/ 37905 | consumed samples: 3612160 | consumed tokens: 7397703680 | elapsed time per iteration (s): 0.23 | learning rate: 1.468E-04 | global batch size: 256 | lm loss: 2.951418E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.681 | TFLOPs: 27.91 | 7: iteration 14120/ 37905 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 0.23 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 2.953493E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.643 | TFLOPs: 28.14 | 7: iteration 14130/ 37905 | consumed samples: 3617280 | consumed tokens: 7408189440 | elapsed time per iteration (s): 0.23 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 2.971579E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.922 | TFLOPs: 28.56 | 7: iteration 14140/ 37905 | consumed samples: 3619840 | consumed tokens: 7413432320 | elapsed time per iteration (s): 0.24 | learning rate: 1.466E-04 | global batch size: 256 | lm loss: 2.928390E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.590 | TFLOPs: 27.58 | 7: iteration 14150/ 37905 | consumed samples: 3622400 | consumed tokens: 7418675200 | elapsed time per iteration (s): 0.23 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 2.966084E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.573 | TFLOPs: 28.06 | 7: iteration 14160/ 37905 | consumed 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28.36 | 7: iteration 14190/ 37905 | consumed samples: 3632640 | consumed tokens: 7439646720 | elapsed time per iteration (s): 0.23 | learning rate: 1.463E-04 | global batch size: 256 | lm loss: 2.938074E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.040 | TFLOPs: 28.38 | 7: iteration 14200/ 37905 | consumed samples: 3635200 | consumed tokens: 7444889600 | elapsed time per iteration (s): 0.23 | learning rate: 1.462E-04 | global batch size: 256 | lm loss: 2.950194E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.812 | TFLOPs: 28.12 | 7: iteration 14210/ 37905 | consumed samples: 3637760 | consumed tokens: 7450132480 | elapsed time per iteration (s): 0.23 | learning rate: 1.461E-04 | global batch size: 256 | lm loss: 2.923771E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.748 | TFLOPs: 28.32 | 7: iteration 14220/ 37905 | consumed samples: 3640320 | consumed tokens: 7455375360 | elapsed time per iteration (s): 0.23 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 2.957737E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.295 | TFLOPs: 27.98 | 7: iteration 14230/ 37905 | consumed samples: 3642880 | consumed tokens: 7460618240 | elapsed time per iteration (s): 0.23 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 2.930446E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.915 | TFLOPs: 28.43 | 7: iteration 14240/ 37905 | consumed samples: 3645440 | consumed tokens: 7465861120 | elapsed time per iteration (s): 0.23 | learning rate: 1.459E-04 | global batch size: 256 | lm loss: 2.960358E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.373 | TFLOPs: 28.36 | 7: iteration 14250/ 37905 | consumed samples: 3648000 | consumed tokens: 7471104000 | elapsed time per iteration (s): 0.23 | learning rate: 1.458E-04 | global batch size: 256 | lm loss: 2.956664E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.186 | TFLOPs: 28.44 | 7: iteration 14260/ 37905 | consumed samples: 3650560 | consumed tokens: 7476346880 | elapsed time per iteration (s): 0.23 | learning rate: 1.458E-04 | global batch size: 256 | lm loss: 2.970268E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.100 | TFLOPs: 28.56 | 7: iteration 14270/ 37905 | consumed samples: 3653120 | consumed tokens: 7481589760 | elapsed time per iteration (s): 0.23 | learning rate: 1.457E-04 | global batch size: 256 | lm loss: 2.921471E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.907 | TFLOPs: 28.30 | 7: iteration 14280/ 37905 | consumed samples: 3655680 | consumed tokens: 7486832640 | elapsed time per iteration (s): 0.23 | learning rate: 1.456E-04 | global batch size: 256 | lm loss: 2.939072E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.005 | TFLOPs: 27.82 | 7: iteration 14290/ 37905 | consumed samples: 3658240 | consumed tokens: 7492075520 | elapsed time per iteration (s): 0.24 | learning rate: 1.456E-04 | global batch size: 256 | lm loss: 2.957373E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1071.311 | TFLOPs: 27.29 | 7: iteration 14300/ 37905 | consumed samples: 3660800 | consumed tokens: 7497318400 | elapsed time per iteration (s): 0.23 | learning rate: 1.455E-04 | global batch size: 256 | lm loss: 2.887168E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.140 | TFLOPs: 28.56 | 7: iteration 14310/ 37905 | consumed samples: 3663360 | consumed tokens: 7502561280 | elapsed time per iteration (s): 0.23 | learning rate: 1.454E-04 | global batch size: 256 | lm loss: 2.899622E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.934 | TFLOPs: 28.68 | 7: iteration 14320/ 37905 | consumed samples: 3665920 | consumed tokens: 7507804160 | elapsed time per iteration (s): 0.23 | learning rate: 1.454E-04 | global batch size: 256 | lm loss: 2.904597E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.819 | TFLOPs: 28.53 | 7: iteration 14330/ 37905 | consumed samples: 3668480 | consumed tokens: 7513047040 | elapsed time per iteration (s): 0.23 | learning rate: 1.453E-04 | global batch size: 256 | lm loss: 2.918096E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.023 | TFLOPs: 28.53 | 7: iteration 14340/ 37905 | consumed samples: 3671040 | consumed tokens: 7518289920 | elapsed time per iteration (s): 0.23 | learning rate: 1.452E-04 | global batch size: 256 | lm loss: 2.941953E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.760 | TFLOPs: 28.19 | 7: iteration 14350/ 37905 | consumed samples: 3673600 | consumed tokens: 7523532800 | elapsed time per iteration (s): 0.23 | learning rate: 1.451E-04 | global batch size: 256 | lm loss: 2.968881E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.475 | TFLOPs: 28.11 | 7: iteration 14360/ 37905 | consumed samples: 3676160 | consumed tokens: 7528775680 | elapsed time per iteration (s): 0.23 | learning rate: 1.451E-04 | global batch size: 256 | lm loss: 2.975972E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.836 | TFLOPs: 28.58 | 7: iteration 14370/ 37905 | consumed samples: 3678720 | consumed tokens: 7534018560 | elapsed time per iteration (s): 0.23 | learning rate: 1.450E-04 | global batch size: 256 | lm loss: 2.974311E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.309 | TFLOPs: 28.34 | 7: iteration 14380/ 37905 | consumed samples: 3681280 | consumed tokens: 7539261440 | elapsed time per iteration (s): 0.24 | learning rate: 1.449E-04 | global batch size: 256 | lm loss: 2.922354E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1068.944 | TFLOPs: 27.23 | 7: iteration 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second: 1067.576 | TFLOPs: 27.20 | 7: iteration 14420/ 37905 | consumed samples: 3691520 | consumed tokens: 7560232960 | elapsed time per iteration (s): 0.23 | learning rate: 1.447E-04 | global batch size: 256 | lm loss: 2.934882E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.577 | TFLOPs: 28.47 | 7: iteration 14430/ 37905 | consumed samples: 3694080 | consumed tokens: 7565475840 | elapsed time per iteration (s): 0.23 | learning rate: 1.446E-04 | global batch size: 256 | lm loss: 2.943015E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.640 | TFLOPs: 28.65 | 7: iteration 14440/ 37905 | consumed samples: 3696640 | consumed tokens: 7570718720 | elapsed time per iteration (s): 0.23 | learning rate: 1.445E-04 | global batch size: 256 | lm loss: 2.908837E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.828 | TFLOPs: 28.63 | 7: iteration 14450/ 37905 | consumed samples: 3699200 | consumed tokens: 7575961600 | elapsed time per iteration (s): 0.24 | learning rate: 1.445E-04 | global batch size: 256 | lm loss: 2.920373E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.928 | TFLOPs: 27.43 | 7: iteration 14460/ 37905 | consumed samples: 3701760 | consumed tokens: 7581204480 | elapsed time per iteration (s): 0.23 | learning rate: 1.444E-04 | global batch size: 256 | lm loss: 2.953454E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.573 | TFLOPs: 28.11 | 7: iteration 14470/ 37905 | consumed samples: 3704320 | consumed tokens: 7586447360 | elapsed time per iteration (s): 0.23 | learning rate: 1.443E-04 | global batch size: 256 | lm loss: 2.955868E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.847 | TFLOPs: 28.32 | 7: iteration 14480/ 37905 | consumed samples: 3706880 | consumed tokens: 7591690240 | elapsed time per iteration (s): 0.23 | learning rate: 1.442E-04 | global batch size: 256 | lm loss: 2.920610E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.521 | TFLOPs: 28.42 | 7: iteration 14490/ 37905 | consumed samples: 3709440 | consumed tokens: 7596933120 | elapsed time per iteration (s): 0.23 | learning rate: 1.442E-04 | global batch size: 256 | lm loss: 2.918782E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.675 | TFLOPs: 28.55 | 7: iteration 14500/ 37905 | consumed samples: 3712000 | consumed tokens: 7602176000 | elapsed time per iteration (s): 0.23 | learning rate: 1.441E-04 | global batch size: 256 | lm loss: 2.932670E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.366 | TFLOPs: 28.62 | 7: iteration 14510/ 37905 | consumed samples: 3714560 | consumed tokens: 7607418880 | elapsed time per iteration (s): 0.23 | learning rate: 1.440E-04 | global batch size: 256 | lm loss: 2.953518E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1129.470 | TFLOPs: 28.77 | 7: iteration 14520/ 37905 | consumed samples: 3717120 | consumed tokens: 7612661760 | elapsed time per iteration (s): 0.23 | learning rate: 1.440E-04 | global batch size: 256 | lm loss: 2.995463E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.358 | TFLOPs: 28.39 | 7: iteration 14530/ 37905 | consumed samples: 3719680 | consumed tokens: 7617904640 | elapsed time per iteration (s): 0.23 | learning rate: 1.439E-04 | global batch size: 256 | lm loss: 2.928206E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.403 | TFLOPs: 28.16 | 7: iteration 14540/ 37905 | consumed samples: 3722240 | consumed tokens: 7623147520 | elapsed time per iteration (s): 0.23 | learning rate: 1.438E-04 | global batch size: 256 | lm loss: 2.946337E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.096 | TFLOPs: 28.56 | 7: iteration 14550/ 37905 | consumed samples: 3724800 | consumed tokens: 7628390400 | elapsed time per iteration (s): 0.23 | learning rate: 1.438E-04 | global batch size: 256 | lm loss: 2.911338E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.734 | TFLOPs: 28.50 | 7: iteration 14560/ 37905 | consumed samples: 3727360 | consumed tokens: 7633633280 | elapsed time per iteration (s): 0.23 | learning rate: 1.437E-04 | global batch size: 256 | lm loss: 2.925798E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.462 | TFLOPs: 28.19 | 7: iteration 14570/ 37905 | consumed samples: 3729920 | consumed tokens: 7638876160 | elapsed time per iteration (s): 0.23 | learning rate: 1.436E-04 | global batch size: 256 | lm loss: 2.930778E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.813 | TFLOPs: 27.81 | 7: iteration 14580/ 37905 | consumed samples: 3732480 | consumed tokens: 7644119040 | elapsed time per iteration (s): 0.25 | learning rate: 1.435E-04 | global batch size: 256 | lm loss: 2.904384E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1029.773 | TFLOPs: 26.23 | 7: iteration 14590/ 37905 | consumed samples: 3735040 | consumed tokens: 7649361920 | elapsed time per iteration (s): 0.23 | learning rate: 1.435E-04 | global batch size: 256 | lm loss: 2.950871E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.995 | TFLOPs: 28.38 | 7: iteration 14600/ 37905 | consumed samples: 3737600 | consumed tokens: 7654604800 | elapsed time per iteration (s): 0.23 | learning rate: 1.434E-04 | global batch size: 256 | lm loss: 2.959282E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.055 | TFLOPs: 28.15 | 7: iteration 14610/ 37905 | consumed samples: 3740160 | consumed tokens: 7659847680 | elapsed time per iteration (s): 0.23 | learning rate: 1.433E-04 | global batch size: 256 | lm loss: 2.944059E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.579 | TFLOPs: 28.24 | 7: iteration 14620/ 37905 | consumed samples: 3742720 | consumed tokens: 7665090560 | elapsed time per iteration (s): 0.23 | learning rate: 1.433E-04 | global batch size: 256 | lm loss: 2.944589E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.892 | TFLOPs: 28.17 | 7: iteration 14630/ 37905 | consumed samples: 3745280 | consumed tokens: 7670333440 | elapsed time per iteration (s): 0.24 | learning rate: 1.432E-04 | global batch size: 256 | lm loss: 2.912597E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.332 | TFLOPs: 27.39 | 7: iteration 14640/ 37905 | consumed samples: 3747840 | consumed tokens: 7675576320 | elapsed time per iteration (s): 0.23 | learning rate: 1.431E-04 | global batch size: 256 | lm loss: 2.921344E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.390 | TFLOPs: 28.62 | 7: iteration 14650/ 37905 | consumed samples: 3750400 | consumed tokens: 7680819200 | elapsed time per iteration (s): 0.24 | learning rate: 1.431E-04 | global batch size: 256 | lm loss: 2.946850E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.576 | TFLOPs: 27.48 | 7: iteration 14660/ 37905 | consumed samples: 3752960 | consumed tokens: 7686062080 | elapsed time per iteration (s): 0.23 | learning rate: 1.430E-04 | global batch size: 256 | lm loss: 2.915036E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.917 | TFLOPs: 28.43 | 7: iteration 14670/ 37905 | consumed samples: 3755520 | consumed tokens: 7691304960 | elapsed time per iteration (s): 0.23 | learning rate: 1.429E-04 | global batch size: 256 | lm loss: 2.921737E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.736 | TFLOPs: 28.37 | 7: iteration 14680/ 37905 | consumed samples: 3758080 | consumed tokens: 7696547840 | elapsed time per iteration (s): 0.24 | learning rate: 1.428E-04 | global batch size: 256 | lm loss: 2.953600E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.559 | TFLOPs: 27.71 | 7: iteration 14690/ 37905 | consumed samples: 3760640 | consumed tokens: 7701790720 | elapsed time per iteration (s): 0.23 | learning rate: 1.428E-04 | global batch size: 256 | lm loss: 2.916628E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.425 | TFLOPs: 28.08 | 7: iteration 14700/ 37905 | consumed samples: 3763200 | consumed tokens: 7707033600 | elapsed time per iteration (s): 0.23 | learning rate: 1.427E-04 | global batch size: 256 | lm loss: 2.955501E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.179 | TFLOPs: 28.72 | 7: iteration 14710/ 37905 | consumed samples: 3765760 | consumed tokens: 7712276480 | elapsed time per iteration (s): 0.23 | learning rate: 1.426E-04 | global batch size: 256 | lm loss: 2.918203E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.575 | TFLOPs: 28.65 | 7: iteration 14720/ 37905 | consumed samples: 3768320 | consumed tokens: 7717519360 | elapsed time per iteration (s): 0.23 | learning rate: 1.426E-04 | global batch size: 256 | lm loss: 2.939038E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.246 | TFLOPs: 28.51 | 7: iteration 14730/ 37905 | consumed samples: 3770880 | consumed tokens: 7722762240 | elapsed time per iteration (s): 0.23 | learning rate: 1.425E-04 | global batch size: 256 | lm loss: 2.939488E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.385 | TFLOPs: 27.75 | 7: iteration 14740/ 37905 | consumed samples: 3773440 | consumed tokens: 7728005120 | elapsed time per iteration (s): 0.23 | learning rate: 1.424E-04 | global batch size: 256 | lm loss: 2.940399E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.972 | TFLOPs: 28.25 | 7: iteration 14750/ 37905 | consumed samples: 3776000 | consumed tokens: 7733248000 | elapsed time per iteration (s): 0.23 | learning rate: 1.424E-04 | global batch size: 256 | lm loss: 2.939587E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.719 | TFLOPs: 28.35 | 7: iteration 14760/ 37905 | consumed samples: 3778560 | consumed tokens: 7738490880 | elapsed time per iteration (s): 0.23 | learning rate: 1.423E-04 | global batch size: 256 | lm loss: 2.914810E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.436 | TFLOPs: 28.21 | 7: iteration 14770/ 37905 | consumed samples: 3781120 | consumed tokens: 7743733760 | elapsed time per iteration (s): 0.23 | learning rate: 1.422E-04 | global batch size: 256 | lm loss: 2.923381E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.082 | TFLOPs: 28.00 | 7: iteration 14780/ 37905 | consumed samples: 3783680 | consumed tokens: 7748976640 | elapsed time per iteration (s): 0.23 | learning rate: 1.421E-04 | global batch size: 256 | lm loss: 2.960724E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.623 | TFLOPs: 28.11 | 7: iteration 14790/ 37905 | consumed samples: 3786240 | consumed tokens: 7754219520 | elapsed time per iteration (s): 0.23 | learning rate: 1.421E-04 | global batch size: 256 | lm loss: 2.950839E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.328 | TFLOPs: 28.08 | 7: iteration 14800/ 37905 | consumed samples: 3788800 | consumed tokens: 7759462400 | elapsed time per iteration (s): 0.23 | learning rate: 1.420E-04 | global batch size: 256 | lm loss: 2.921171E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.871 | TFLOPs: 27.94 | 7: iteration 14810/ 37905 | consumed samples: 3791360 | consumed tokens: 7764705280 | elapsed time per iteration (s): 0.23 | learning rate: 1.419E-04 | global batch size: 256 | lm loss: 2.969429E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.886 | TFLOPs: 28.55 | 7: iteration 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second: 1109.235 | TFLOPs: 28.26 | 7: iteration 14850/ 37905 | consumed samples: 3801600 | consumed tokens: 7785676800 | elapsed time per iteration (s): 0.23 | learning rate: 1.416E-04 | global batch size: 256 | lm loss: 2.921621E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.623 | TFLOPs: 27.94 | 7: iteration 14860/ 37905 | consumed samples: 3804160 | consumed tokens: 7790919680 | elapsed time per iteration (s): 0.23 | learning rate: 1.416E-04 | global batch size: 256 | lm loss: 2.909928E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.913 | TFLOPs: 27.77 | 7: iteration 14870/ 37905 | consumed samples: 3806720 | consumed tokens: 7796162560 | elapsed time per iteration (s): 0.23 | learning rate: 1.415E-04 | global batch size: 256 | lm loss: 2.955036E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.378 | TFLOPs: 27.80 | 7: iteration 14880/ 37905 | consumed samples: 3809280 | consumed tokens: 7801405440 | elapsed time per iteration (s): 0.23 | learning rate: 1.414E-04 | global batch size: 256 | lm loss: 2.925616E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.745 | TFLOPs: 27.91 | 7: iteration 14890/ 37905 | consumed samples: 3811840 | consumed tokens: 7806648320 | elapsed time per iteration (s): 0.23 | learning rate: 1.414E-04 | global batch size: 256 | lm loss: 2.904622E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.702 | TFLOPs: 28.22 | 7: iteration 14900/ 37905 | consumed samples: 3814400 | consumed tokens: 7811891200 | elapsed time per iteration (s): 0.23 | learning rate: 1.413E-04 | global batch size: 256 | lm loss: 2.906080E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.178 | TFLOPs: 27.95 | 7: iteration 14910/ 37905 | consumed samples: 3816960 | consumed tokens: 7817134080 | elapsed time per iteration (s): 0.23 | learning rate: 1.412E-04 | global batch size: 256 | lm loss: 2.948966E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.320 | TFLOPs: 28.18 | 7: iteration 14920/ 37905 | consumed samples: 3819520 | consumed tokens: 7822376960 | elapsed time per iteration (s): 0.24 | learning rate: 1.412E-04 | global batch size: 256 | lm loss: 2.907785E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1045.518 | TFLOPs: 26.63 | 7: iteration 14930/ 37905 | consumed samples: 3822080 | consumed tokens: 7827619840 | elapsed time per iteration (s): 0.24 | learning rate: 1.411E-04 | global batch size: 256 | lm loss: 2.914621E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.718 | TFLOPs: 27.51 | 7: iteration 14940/ 37905 | consumed samples: 3824640 | consumed tokens: 7832862720 | elapsed time per iteration (s): 0.26 | learning rate: 1.410E-04 | global batch size: 256 | lm loss: 2.938475E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 987.427 | TFLOPs: 25.15 | 7: iteration 14950/ 37905 | consumed samples: 3827200 | consumed tokens: 7838105600 | elapsed time per iteration (s): 0.23 | learning rate: 1.409E-04 | global batch size: 256 | lm loss: 2.906192E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.211 | TFLOPs: 27.85 | 7: iteration 14960/ 37905 | consumed samples: 3829760 | consumed tokens: 7843348480 | elapsed time per iteration (s): 0.23 | learning rate: 1.409E-04 | global batch size: 256 | lm loss: 2.877597E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.195 | TFLOPs: 28.26 | 7: iteration 14970/ 37905 | consumed samples: 3832320 | consumed tokens: 7848591360 | elapsed time per iteration (s): 0.23 | learning rate: 1.408E-04 | global batch size: 256 | lm loss: 2.918949E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.901 | TFLOPs: 28.66 | 7: iteration 14980/ 37905 | consumed samples: 3834880 | consumed tokens: 7853834240 | elapsed time per iteration (s): 0.23 | learning rate: 1.407E-04 | global batch size: 256 | lm loss: 2.929204E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.544 | TFLOPs: 28.14 | 7: iteration 14990/ 37905 | consumed samples: 3837440 | consumed tokens: 7859077120 | elapsed time per iteration (s): 0.23 | learning rate: 1.407E-04 | global batch size: 256 | lm loss: 2.983332E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.047 | TFLOPs: 28.71 | 7: iteration 15000/ 37905 | consumed samples: 3840000 | consumed tokens: 7864320000 | elapsed time per iteration (s): 0.23 | learning rate: 1.406E-04 | global batch size: 256 | lm loss: 2.918395E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.982 | TFLOPs: 28.40 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 15000 | lm loss value: 2.870470E+00 | lm loss PPL: 1.764531E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 15000 to checkpoints_83mwarmup 0: [2022-11-24 18:26:19,974] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step15000 is begin to save! 0: [2022-11-24 18:26:19,977] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step15000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:26:20,049] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step15000/layer_01-model_00-model_states.pt. 0: [2022-11-24 18:26:20,050] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step15000/layer_03-model_00-model_states.pt... 0: [2022-11-24 18:26:20,061] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step15000/layer_03-model_00-model_states.pt. 0: [2022-11-24 18:26:20,061] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step15000/layer_04-model_00-model_states.pt... 0: [2022-11-24 18:26:20,072] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_83mwarmup/global_step15000/layer_14-model_00-model_states.pt. 0: [2022-11-24 18:26:20,162] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83mwarmup/global_step15000/mp_rank_00_model_states.pt 0: [2022-11-24 18:26:20,162] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step15000/mp_rank_00_model_states.pt... 0: [2022-11-24 18:26:20,164] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step15000/mp_rank_00_model_states.pt. 0: [2022-11-24 18:26:20,181] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step15000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt... 2: [2022-11-24 18:26:20,181] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step15000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt... 2: [2022-11-24 18:26:20,181] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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is ready now! 2: [2022-11-24 18:26:20,209] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step15000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-24 18:26:20,209] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step15000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2022-11-24 18:26:20,209] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step15000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-24 18:26:20,209] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 2: [2022-11-24 18:26:20,209] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step15000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-24 18:26:20,209] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 5: [2022-11-24 18:26:20,209] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step15000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-24 18:26:20,209] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step15000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-24 18:26:20,209] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 7: [2022-11-24 18:26:20,211] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step15000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-24 18:26:20,211] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step15000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-24 18:26:20,211] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 0: successfully saved checkpoint at iteration 15000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 240.88 7: iteration 15010/ 37905 | consumed samples: 3842560 | consumed tokens: 7869562880 | elapsed time per iteration (s): 0.26 | learning rate: 1.405E-04 | global batch size: 256 | lm loss: 2.936368E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 969.118 | TFLOPs: 24.69 | 7: iteration 15020/ 37905 | consumed samples: 3845120 | consumed tokens: 7874805760 | elapsed time per iteration (s): 0.23 | learning rate: 1.404E-04 | global batch size: 256 | lm loss: 2.914704E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.487 | TFLOPs: 28.01 | 7: iteration 15030/ 37905 | consumed samples: 3847680 | consumed tokens: 7880048640 | elapsed time per iteration (s): 0.25 | learning rate: 1.404E-04 | global batch size: 256 | lm loss: 2.947299E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1038.610 | TFLOPs: 26.46 | 7: iteration 15040/ 37905 | consumed samples: 3850240 | consumed tokens: 7885291520 | elapsed time per iteration (s): 0.23 | learning rate: 1.403E-04 | global batch size: 256 | lm loss: 2.976838E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.201 | TFLOPs: 28.41 | 7: iteration 15050/ 37905 | consumed samples: 3852800 | consumed tokens: 7890534400 | elapsed time per iteration (s): 0.23 | learning rate: 1.402E-04 | global batch size: 256 | lm loss: 2.911683E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.285 | TFLOPs: 28.13 | 7: iteration 15060/ 37905 | consumed samples: 3855360 | consumed tokens: 7895777280 | elapsed time per iteration (s): 0.23 | learning rate: 1.402E-04 | global batch size: 256 | lm loss: 2.910291E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.482 | TFLOPs: 28.57 | 7: iteration 15070/ 37905 | consumed samples: 3857920 | consumed tokens: 7901020160 | elapsed time per iteration (s): 0.23 | learning rate: 1.401E-04 | global batch size: 256 | lm loss: 2.922593E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.034 | TFLOPs: 28.38 | 7: iteration 15080/ 37905 | consumed samples: 3860480 | consumed tokens: 7906263040 | elapsed time per iteration (s): 0.23 | learning rate: 1.400E-04 | global batch size: 256 | lm loss: 2.911403E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.950 | TFLOPs: 28.23 | 7: iteration 15090/ 37905 | consumed samples: 3863040 | consumed tokens: 7911505920 | elapsed time per iteration (s): 0.24 | learning rate: 1.399E-04 | global batch size: 256 | lm loss: 2.917590E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1063.322 | TFLOPs: 27.09 | 7: iteration 15100/ 37905 | consumed samples: 3865600 | consumed tokens: 7916748800 | elapsed time per iteration (s): 0.23 | learning rate: 1.399E-04 | global batch size: 256 | lm loss: 2.907670E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.963 | TFLOPs: 28.48 | 7: iteration 15110/ 37905 | consumed samples: 3868160 | consumed tokens: 7921991680 | elapsed time per iteration (s): 0.24 | learning rate: 1.398E-04 | global batch size: 256 | lm loss: 2.942592E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.511 | TFLOPs: 27.70 | 7: iteration 15120/ 37905 | consumed samples: 3870720 | consumed tokens: 7927234560 | elapsed time per iteration (s): 0.23 | learning rate: 1.397E-04 | global batch size: 256 | lm loss: 2.925455E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.923 | TFLOPs: 28.58 | 7: iteration 15130/ 37905 | consumed samples: 3873280 | consumed tokens: 7932477440 | elapsed time per iteration (s): 0.23 | learning rate: 1.397E-04 | global batch size: 256 | lm loss: 2.907127E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.532 | TFLOPs: 28.52 | 7: iteration 15140/ 37905 | consumed samples: 3875840 | consumed tokens: 7937720320 | elapsed time per iteration (s): 0.23 | learning rate: 1.396E-04 | global batch size: 256 | lm loss: 2.954687E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.184 | TFLOPs: 28.18 | 7: iteration 15150/ 37905 | consumed samples: 3878400 | consumed tokens: 7942963200 | elapsed time per iteration (s): 0.23 | learning rate: 1.395E-04 | global batch size: 256 | lm loss: 2.904643E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.924 | TFLOPs: 28.05 | 7: iteration 15160/ 37905 | consumed samples: 3880960 | consumed tokens: 7948206080 | elapsed time per iteration (s): 0.23 | learning rate: 1.395E-04 | global batch size: 256 | lm loss: 2.921725E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.756 | TFLOPs: 27.97 | 7: iteration 15170/ 37905 | consumed samples: 3883520 | consumed tokens: 7953448960 | elapsed time per iteration (s): 0.24 | learning rate: 1.394E-04 | global batch size: 256 | lm loss: 2.945469E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1072.051 | TFLOPs: 27.31 | 7: iteration 15180/ 37905 | consumed samples: 3886080 | consumed tokens: 7958691840 | elapsed time per iteration (s): 0.23 | learning rate: 1.393E-04 | global batch size: 256 | lm loss: 2.912392E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.360 | TFLOPs: 28.08 | 7: iteration 15190/ 37905 | consumed samples: 3888640 | consumed tokens: 7963934720 | elapsed time per iteration (s): 0.23 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 2.919047E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.894 | TFLOPs: 28.17 | 7: iteration 15200/ 37905 | consumed samples: 3891200 | consumed tokens: 7969177600 | elapsed time per iteration (s): 0.23 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 2.945521E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.260 | TFLOPs: 28.39 | 7: iteration 15210/ 37905 | consumed samples: 3893760 | consumed tokens: 7974420480 | elapsed time per iteration (s): 0.23 | learning rate: 1.391E-04 | global batch size: 256 | lm loss: 2.921758E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.285 | TFLOPs: 28.16 | 7: iteration 15220/ 37905 | consumed samples: 3896320 | consumed tokens: 7979663360 | elapsed time per iteration (s): 0.25 | learning rate: 1.390E-04 | global batch size: 256 | lm loss: 2.949037E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1034.028 | TFLOPs: 26.34 | 7: iteration 15230/ 37905 | consumed samples: 3898880 | consumed tokens: 7984906240 | elapsed time per iteration (s): 0.23 | learning rate: 1.390E-04 | global batch size: 256 | lm loss: 2.928324E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.737 | TFLOPs: 28.19 | 7: iteration 15240/ 37905 | consumed samples: 3901440 | consumed tokens: 7990149120 | elapsed time per iteration (s): 0.23 | learning rate: 1.389E-04 | global batch size: 256 | lm loss: 2.932840E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.964 | TFLOPs: 28.00 | 7: iteration 15250/ 37905 | consumed samples: 3904000 | consumed tokens: 7995392000 | elapsed time per iteration (s): 0.24 | learning rate: 1.388E-04 | global batch size: 256 | lm loss: 2.919518E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1059.003 | TFLOPs: 26.98 | 7: iteration 15260/ 37905 | consumed samples: 3906560 | consumed tokens: 8000634880 | elapsed time per iteration (s): 0.23 | learning rate: 1.387E-04 | global batch size: 256 | lm loss: 2.948439E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.536 | TFLOPs: 28.55 | 7: iteration 15270/ 37905 | consumed samples: 3909120 | consumed tokens: 8005877760 | elapsed time per iteration (s): 0.23 | learning rate: 1.387E-04 | global batch size: 256 | lm loss: 2.918998E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.405 | TFLOPs: 28.03 | 7: iteration 15280/ 37905 | consumed samples: 3911680 | consumed tokens: 8011120640 | elapsed time per iteration (s): 0.25 | learning rate: 1.386E-04 | global batch size: 256 | lm loss: 2.936458E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1029.128 | TFLOPs: 26.22 | 7: iteration 15290/ 37905 | consumed samples: 3914240 | consumed tokens: 8016363520 | elapsed time per iteration (s): 0.25 | learning rate: 1.385E-04 | global batch size: 256 | lm loss: 2.912803E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1043.128 | TFLOPs: 26.57 | 7: iteration 15300/ 37905 | consumed samples: 3916800 | consumed tokens: 8021606400 | elapsed time per iteration (s): 0.23 | learning rate: 1.385E-04 | global batch size: 256 | lm loss: 2.913913E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.246 | TFLOPs: 27.83 | 7: iteration 15310/ 37905 | consumed samples: 3919360 | consumed tokens: 8026849280 | elapsed time per iteration (s): 0.23 | learning rate: 1.384E-04 | global batch size: 256 | lm loss: 2.938823E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.772 | TFLOPs: 28.60 | 7: iteration 15320/ 37905 | consumed samples: 3921920 | consumed tokens: 8032092160 | elapsed time per iteration (s): 0.23 | learning rate: 1.383E-04 | global batch size: 256 | lm loss: 2.924899E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.349 | TFLOPs: 28.62 | 7: iteration 15330/ 37905 | consumed samples: 3924480 | consumed tokens: 8037335040 | elapsed time per iteration (s): 0.23 | learning rate: 1.382E-04 | global batch size: 256 | lm loss: 2.905865E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.234 | TFLOPs: 28.61 | 7: iteration 15340/ 37905 | consumed samples: 3927040 | consumed tokens: 8042577920 | elapsed time per iteration (s): 0.23 | learning rate: 1.382E-04 | global batch size: 256 | lm loss: 2.941547E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.548 | TFLOPs: 28.01 | 7: iteration 15350/ 37905 | consumed samples: 3929600 | consumed tokens: 8047820800 | elapsed time per iteration (s): 0.24 | learning rate: 1.381E-04 | global batch size: 256 | lm loss: 2.925853E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.123 | TFLOPs: 27.62 | 7: iteration 15360/ 37905 | consumed samples: 3932160 | consumed tokens: 8053063680 | elapsed time per iteration (s): 0.24 | learning rate: 1.380E-04 | global batch size: 256 | lm loss: 2.929178E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.484 | TFLOPs: 27.65 | 7: iteration 15370/ 37905 | consumed samples: 3934720 | consumed tokens: 8058306560 | elapsed time per iteration (s): 0.23 | learning rate: 1.380E-04 | global batch size: 256 | lm loss: 2.938912E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.666 | TFLOPs: 27.86 | 7: iteration 15380/ 37905 | consumed samples: 3937280 | consumed tokens: 8063549440 | elapsed time per iteration (s): 0.24 | learning rate: 1.379E-04 | global batch size: 256 | lm loss: 2.898020E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.571 | TFLOPs: 27.71 | 7: iteration 15390/ 37905 | consumed samples: 3939840 | consumed tokens: 8068792320 | elapsed time per iteration (s): 0.23 | learning rate: 1.378E-04 | global batch size: 256 | lm loss: 2.945124E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.946 | TFLOPs: 28.15 | 7: iteration 15400/ 37905 | consumed samples: 3942400 | consumed tokens: 8074035200 | elapsed time per iteration (s): 0.23 | learning rate: 1.377E-04 | global batch size: 256 | lm loss: 2.911675E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.645 | TFLOPs: 28.47 | 7: iteration 15410/ 37905 | consumed samples: 3944960 | consumed tokens: 8079278080 | elapsed time per iteration (s): 0.24 | learning rate: 1.377E-04 | global batch size: 256 | lm loss: 2.962938E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.358 | TFLOPs: 27.73 | 7: iteration 15420/ 37905 | consumed samples: 3947520 | consumed tokens: 8084520960 | elapsed time per iteration (s): 0.23 | learning rate: 1.376E-04 | global batch size: 256 | lm loss: 2.946140E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.091 | TFLOPs: 28.13 | 7: iteration 15430/ 37905 | consumed samples: 3950080 | consumed tokens: 8089763840 | elapsed time per iteration (s): 0.23 | learning rate: 1.375E-04 | global batch size: 256 | lm loss: 2.919416E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.878 | TFLOPs: 28.07 | 7: iteration 15440/ 37905 | consumed samples: 3952640 | consumed tokens: 8095006720 | elapsed time per iteration (s): 0.23 | learning rate: 1.374E-04 | global batch size: 256 | lm loss: 2.916682E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.125 | TFLOPs: 28.18 | 7: iteration 15450/ 37905 | consumed samples: 3955200 | consumed tokens: 8100249600 | elapsed time per iteration (s): 0.23 | learning rate: 1.374E-04 | global batch size: 256 | lm loss: 2.933873E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.791 | TFLOPs: 27.86 | 7: iteration 15460/ 37905 | consumed samples: 3957760 | consumed tokens: 8105492480 | elapsed time per iteration (s): 0.23 | learning rate: 1.373E-04 | global batch size: 256 | lm loss: 2.932009E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.443 | TFLOPs: 28.19 | 7: iteration 15470/ 37905 | consumed samples: 3960320 | consumed tokens: 8110735360 | elapsed time per iteration (s): 0.23 | learning rate: 1.372E-04 | global batch size: 256 | lm loss: 2.931116E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.278 | TFLOPs: 28.28 | 7: iteration 15480/ 37905 | consumed samples: 3962880 | consumed tokens: 8115978240 | elapsed time per iteration (s): 0.23 | learning rate: 1.372E-04 | global batch size: 256 | lm loss: 2.936506E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.451 | TFLOPs: 28.26 | 7: iteration 15490/ 37905 | consumed samples: 3965440 | consumed tokens: 8121221120 | elapsed time per iteration (s): 0.24 | learning rate: 1.371E-04 | global batch size: 256 | lm loss: 2.926611E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.200 | TFLOPs: 27.42 | 7: iteration 15500/ 37905 | consumed samples: 3968000 | consumed tokens: 8126464000 | elapsed time per iteration (s): 0.23 | learning rate: 1.370E-04 | global batch size: 256 | lm loss: 2.929671E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.425 | TFLOPs: 28.52 | 7: iteration 15510/ 37905 | consumed samples: 3970560 | consumed tokens: 8131706880 | elapsed time per iteration (s): 0.23 | learning rate: 1.369E-04 | global batch size: 256 | lm loss: 2.939498E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.424 | TFLOPs: 28.52 | 7: iteration 15520/ 37905 | consumed samples: 3973120 | consumed tokens: 8136949760 | elapsed time per iteration (s): 0.23 | learning rate: 1.369E-04 | global batch size: 256 | lm loss: 2.927995E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.969 | TFLOPs: 28.23 | 7: iteration 15530/ 37905 | consumed samples: 3975680 | consumed tokens: 8142192640 | elapsed time per iteration (s): 0.23 | learning rate: 1.368E-04 | global batch size: 256 | lm loss: 2.952058E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.828 | TFLOPs: 28.53 | 7: iteration 15540/ 37905 | consumed samples: 3978240 | consumed tokens: 8147435520 | elapsed time per iteration (s): 0.23 | learning rate: 1.367E-04 | global batch size: 256 | lm loss: 2.943663E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.520 | TFLOPs: 28.44 | 7: iteration 15550/ 37905 | consumed samples: 3980800 | consumed tokens: 8152678400 | elapsed time per iteration (s): 0.23 | learning rate: 1.367E-04 | global batch size: 256 | lm loss: 2.900023E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.446 | TFLOPs: 27.91 | 7: iteration 15560/ 37905 | consumed samples: 3983360 | consumed tokens: 8157921280 | elapsed time per iteration (s): 0.23 | learning rate: 1.366E-04 | global batch size: 256 | lm loss: 2.928664E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.968 | TFLOPs: 28.40 | 7: iteration 15570/ 37905 | consumed samples: 3985920 | consumed tokens: 8163164160 | elapsed time per iteration (s): 0.24 | learning rate: 1.365E-04 | global batch size: 256 | lm loss: 2.913093E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1052.829 | TFLOPs: 26.82 | 7: iteration 15580/ 37905 | consumed samples: 3988480 | consumed tokens: 8168407040 | elapsed time per iteration (s): 0.25 | learning rate: 1.364E-04 | global batch size: 256 | lm loss: 2.918746E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1017.743 | TFLOPs: 25.93 | 7: iteration 15590/ 37905 | consumed samples: 3991040 | consumed tokens: 8173649920 | elapsed time per iteration (s): 0.23 | learning rate: 1.364E-04 | global batch size: 256 | lm loss: 2.948775E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.079 | TFLOPs: 28.05 | 7: iteration 15600/ 37905 | consumed samples: 3993600 | consumed tokens: 8178892800 | elapsed time per iteration (s): 0.23 | learning rate: 1.363E-04 | global batch size: 256 | lm loss: 2.923970E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.992 | 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iterations: 0 | samples per second: 1056.877 | TFLOPs: 26.92 | 7: iteration 15640/ 37905 | consumed samples: 4003840 | consumed tokens: 8199864320 | elapsed time per iteration (s): 0.23 | learning rate: 1.360E-04 | global batch size: 256 | lm loss: 2.931149E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.546 | TFLOPs: 27.91 | 7: iteration 15650/ 37905 | consumed samples: 4006400 | consumed tokens: 8205107200 | elapsed time per iteration (s): 0.23 | learning rate: 1.359E-04 | global batch size: 256 | lm loss: 2.965526E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.930 | TFLOPs: 28.38 | 7: iteration 15660/ 37905 | consumed samples: 4008960 | consumed tokens: 8210350080 | elapsed time per iteration (s): 0.23 | learning rate: 1.359E-04 | global batch size: 256 | lm loss: 2.894014E+00 | grad norm: 0.230 | num zeros: 0.0 | 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size: 256 | lm loss: 2.883631E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.449 | TFLOPs: 28.34 | 7: iteration 15930/ 37905 | consumed samples: 4078080 | consumed tokens: 8351907840 | elapsed time per iteration (s): 0.24 | learning rate: 1.339E-04 | global batch size: 256 | lm loss: 2.913214E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1060.664 | TFLOPs: 27.02 | 7: iteration 15940/ 37905 | consumed samples: 4080640 | consumed tokens: 8357150720 | elapsed time per iteration (s): 0.23 | learning rate: 1.338E-04 | global batch size: 256 | lm loss: 2.922149E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.138 | TFLOPs: 28.38 | 7: iteration 15950/ 37905 | consumed samples: 4083200 | consumed tokens: 8362393600 | elapsed time per iteration (s): 0.23 | learning rate: 1.338E-04 | global batch size: 256 | lm loss: 2.937554E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.131 | TFLOPs: 28.51 | 7: iteration 15960/ 37905 | consumed samples: 4085760 | consumed tokens: 8367636480 | elapsed time per iteration (s): 0.23 | learning rate: 1.337E-04 | global batch size: 256 | lm loss: 2.906332E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.975 | TFLOPs: 28.10 | 7: iteration 15970/ 37905 | consumed samples: 4088320 | consumed tokens: 8372879360 | elapsed time per iteration (s): 0.23 | learning rate: 1.336E-04 | global batch size: 256 | lm loss: 2.929187E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.972 | TFLOPs: 27.92 | 7: iteration 15980/ 37905 | consumed samples: 4090880 | consumed tokens: 8378122240 | elapsed time per iteration (s): 0.23 | learning rate: 1.335E-04 | global batch size: 256 | lm loss: 2.951133E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.215 | TFLOPs: 28.16 | 7: iteration 15990/ 37905 | consumed samples: 4093440 | consumed tokens: 8383365120 | elapsed time per iteration (s): 0.23 | learning rate: 1.335E-04 | global batch size: 256 | lm loss: 2.938566E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.380 | TFLOPs: 28.44 | 0: [2022-11-24 18:30:13,683] [INFO] [logging.py:68:log_dist] [Rank 0] step=16000, skipped=0, lr=[0.00013340211513853558, 0.00013340211513853558, 0.00013340211513853558], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 16000/ 37905 | consumed samples: 4096000 | consumed tokens: 8388608000 | elapsed time per iteration (s): 0.24 | learning rate: 1.334E-04 | global batch size: 256 | lm loss: 2.924654E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1056.599 | TFLOPs: 26.92 | 0: steps: 16000 loss: 3.0426 iter time (s): 0.231 samples/sec: 1108.306 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 16000 | lm loss value: 2.742840E+00 | lm loss PPL: 1.553103E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 16000 to checkpoints_83mwarmup 0: [2022-11-24 18:30:13,792] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step16000 is begin to save! 0: [2022-11-24 18:30:13,795] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step16000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:30:13,864] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step16000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 6: [2022-11-24 18:30:14,025] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step16000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 1: [2022-11-24 18:30:14,025] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 4: [2022-11-24 18:30:14,025] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step16000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 6: [2022-11-24 18:30:14,025] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step16000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-24 18:30:14,025] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 5: [2022-11-24 18:30:14,025] [INFO] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step16000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-24 18:30:14,026] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 1: [2022-11-24 18:30:14,026] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 1: [2022-11-24 18:30:14,026] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step16000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-24 18:30:14,026] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step16000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-24 18:30:14,026] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 2: [2022-11-24 18:30:14,026] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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239.58 7: iteration 16010/ 37905 | consumed samples: 4098560 | consumed tokens: 8393850880 | elapsed time per iteration (s): 0.26 | learning rate: 1.333E-04 | global batch size: 256 | lm loss: 2.916532E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 971.344 | TFLOPs: 24.75 | 7: iteration 16020/ 37905 | consumed samples: 4101120 | consumed tokens: 8399093760 | elapsed time per iteration (s): 0.23 | learning rate: 1.333E-04 | global batch size: 256 | lm loss: 2.921996E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.272 | TFLOPs: 28.26 | 7: iteration 16030/ 37905 | consumed samples: 4103680 | consumed tokens: 8404336640 | elapsed time per iteration (s): 0.24 | learning rate: 1.332E-04 | global batch size: 256 | lm loss: 2.909388E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.139 | TFLOPs: 27.19 | 7: iteration 16040/ 37905 | consumed samples: 4106240 | consumed tokens: 8409579520 | elapsed time per iteration (s): 0.23 | learning rate: 1.331E-04 | global batch size: 256 | lm loss: 2.954569E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.939 | TFLOPs: 28.22 | 7: iteration 16050/ 37905 | consumed samples: 4108800 | consumed tokens: 8414822400 | elapsed time per iteration (s): 0.23 | learning rate: 1.330E-04 | global batch size: 256 | lm loss: 2.881567E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.110 | TFLOPs: 28.25 | 7: iteration 16060/ 37905 | consumed samples: 4111360 | consumed tokens: 8420065280 | elapsed time per iteration (s): 0.23 | learning rate: 1.330E-04 | global batch size: 256 | lm loss: 2.958894E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped 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0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.908 | TFLOPs: 28.50 | 7: iteration 16100/ 37905 | consumed samples: 4121600 | consumed tokens: 8441036800 | elapsed time per iteration (s): 0.23 | learning rate: 1.327E-04 | global batch size: 256 | lm loss: 2.897111E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.539 | TFLOPs: 28.34 | 7: iteration 16110/ 37905 | consumed samples: 4124160 | consumed tokens: 8446279680 | elapsed time per iteration (s): 0.23 | learning rate: 1.326E-04 | global batch size: 256 | lm loss: 2.932173E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.854 | TFLOPs: 28.15 | 7: iteration 16120/ 37905 | consumed samples: 4126720 | consumed tokens: 8451522560 | elapsed time per iteration (s): 0.23 | learning rate: 1.325E-04 | global batch size: 256 | lm loss: 2.942385E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.110 | TFLOPs: 28.18 | 7: iteration 16130/ 37905 | consumed samples: 4129280 | consumed tokens: 8456765440 | elapsed time per iteration (s): 0.23 | learning rate: 1.325E-04 | global batch size: 256 | lm loss: 2.913718E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.012 | TFLOPs: 28.23 | 7: iteration 16140/ 37905 | consumed samples: 4131840 | consumed tokens: 8462008320 | elapsed time per iteration (s): 0.23 | learning rate: 1.324E-04 | global batch size: 256 | lm loss: 2.893646E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.547 | TFLOPs: 28.06 | 7: iteration 16150/ 37905 | consumed samples: 4134400 | consumed tokens: 8467251200 | elapsed time per iteration (s): 0.24 | learning rate: 1.323E-04 | global batch size: 256 | lm loss: 2.924844E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.409 | TFLOPs: 27.73 | 7: iteration 16160/ 37905 | consumed samples: 4136960 | consumed tokens: 8472494080 | elapsed time per iteration (s): 0.23 | learning rate: 1.322E-04 | global batch size: 256 | lm loss: 2.919230E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.757 | TFLOPs: 28.02 | 7: iteration 16170/ 37905 | consumed samples: 4139520 | consumed tokens: 8477736960 | elapsed time per iteration (s): 0.23 | learning rate: 1.322E-04 | global batch size: 256 | lm loss: 2.908478E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.391 | TFLOPs: 28.03 | 7: iteration 16180/ 37905 | consumed samples: 4142080 | consumed tokens: 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1.308E-04 | global batch size: 256 | lm loss: 2.908808E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.317 | TFLOPs: 28.36 | 7: iteration 16360/ 37905 | consumed samples: 4188160 | consumed tokens: 8577351680 | elapsed time per iteration (s): 0.23 | learning rate: 1.308E-04 | global batch size: 256 | lm loss: 2.929779E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.568 | TFLOPs: 28.39 | 7: iteration 16370/ 37905 | consumed samples: 4190720 | consumed tokens: 8582594560 | elapsed time per iteration (s): 0.23 | learning rate: 1.307E-04 | global batch size: 256 | lm loss: 2.939466E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.473 | TFLOPs: 28.03 | 7: iteration 16380/ 37905 | consumed samples: 4193280 | consumed tokens: 8587837440 | elapsed 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4200960 | consumed tokens: 8603566080 | elapsed time per iteration (s): 0.23 | learning rate: 1.304E-04 | global batch size: 256 | lm loss: 2.910452E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.190 | TFLOPs: 28.08 | 7: iteration 16420/ 37905 | consumed samples: 4203520 | consumed tokens: 8608808960 | elapsed time per iteration (s): 0.23 | learning rate: 1.303E-04 | global batch size: 256 | lm loss: 2.907176E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.343 | TFLOPs: 28.11 | 7: iteration 16430/ 37905 | consumed samples: 4206080 | consumed tokens: 8614051840 | elapsed time per iteration (s): 0.23 | learning rate: 1.303E-04 | global batch size: 256 | lm loss: 2.922940E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.852 | TFLOPs: 27.92 | 7: iteration 16440/ 37905 | consumed samples: 4208640 | consumed tokens: 8619294720 | elapsed time per iteration (s): 0.23 | learning rate: 1.302E-04 | global batch size: 256 | lm loss: 2.917160E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.510 | TFLOPs: 28.19 | 7: iteration 16450/ 37905 | consumed samples: 4211200 | consumed tokens: 8624537600 | elapsed time per iteration (s): 0.23 | learning rate: 1.301E-04 | global batch size: 256 | lm loss: 2.897921E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.051 | TFLOPs: 28.69 | 7: iteration 16460/ 37905 | consumed samples: 4213760 | consumed tokens: 8629780480 | elapsed time per iteration (s): 0.23 | learning rate: 1.300E-04 | global batch size: 256 | lm loss: 2.903696E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.281 | TFLOPs: 27.90 | 7: iteration 16470/ 37905 | consumed samples: 4216320 | consumed tokens: 8635023360 | elapsed time per iteration (s): 0.24 | learning rate: 1.300E-04 | global batch size: 256 | lm loss: 2.921962E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1060.027 | TFLOPs: 27.00 | 7: iteration 16480/ 37905 | consumed samples: 4218880 | consumed tokens: 8640266240 | elapsed time per iteration (s): 0.23 | learning rate: 1.299E-04 | global batch size: 256 | lm loss: 2.952044E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.484 | TFLOPs: 28.47 | 7: iteration 16490/ 37905 | consumed samples: 4221440 | consumed tokens: 8645509120 | elapsed time per iteration (s): 0.23 | learning rate: 1.298E-04 | global batch size: 256 | lm loss: 2.910055E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.953 | TFLOPs: 28.30 | 7: iteration 16500/ 37905 | consumed samples: 4224000 | consumed tokens: 8650752000 | elapsed time per iteration (s): 0.24 | learning rate: 1.297E-04 | global batch size: 256 | lm loss: 2.933578E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.686 | TFLOPs: 27.53 | 7: iteration 16510/ 37905 | consumed samples: 4226560 | consumed tokens: 8655994880 | elapsed time per iteration (s): 0.36 | learning rate: 1.297E-04 | global batch size: 256 | lm loss: 2.911955E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 703.000 | TFLOPs: 17.91 | 7: iteration 16520/ 37905 | consumed samples: 4229120 | consumed tokens: 8661237760 | elapsed time per iteration (s): 0.34 | learning rate: 1.296E-04 | global batch size: 256 | lm loss: 2.925083E+00 | grad norm: 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size: 256 | lm loss: 2.932613E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 598.296 | TFLOPs: 15.24 | 7: iteration 16560/ 37905 | consumed samples: 4239360 | consumed tokens: 8682209280 | elapsed time per iteration (s): 0.24 | learning rate: 1.293E-04 | global batch size: 256 | lm loss: 2.887351E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1074.105 | TFLOPs: 27.36 | 7: iteration 16570/ 37905 | consumed samples: 4241920 | consumed tokens: 8687452160 | elapsed time per iteration (s): 0.23 | learning rate: 1.292E-04 | global batch size: 256 | lm loss: 2.892718E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.992 | TFLOPs: 28.35 | 7: iteration 16580/ 37905 | consumed samples: 4244480 | consumed tokens: 8692695040 | elapsed time per iteration (s): 0.23 | learning rate: 1.292E-04 | global batch size: 256 | lm loss: 2.940136E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.919 | TFLOPs: 28.45 | 7: iteration 16590/ 37905 | consumed samples: 4247040 | consumed tokens: 8697937920 | elapsed time per iteration (s): 0.25 | learning rate: 1.291E-04 | global batch size: 256 | lm loss: 2.932529E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1038.641 | TFLOPs: 26.46 | 7: iteration 16600/ 37905 | consumed samples: 4249600 | consumed tokens: 8703180800 | elapsed time per iteration (s): 0.23 | learning rate: 1.290E-04 | global batch size: 256 | lm loss: 2.875904E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.619 | TFLOPs: 28.52 | 7: iteration 16610/ 37905 | consumed samples: 4252160 | consumed tokens: 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1.277E-04 | global batch size: 256 | lm loss: 2.923675E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.881 | TFLOPs: 28.15 | 7: iteration 16790/ 37905 | consumed samples: 4298240 | consumed tokens: 8802795520 | elapsed time per iteration (s): 0.23 | learning rate: 1.276E-04 | global batch size: 256 | lm loss: 2.888928E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.789 | TFLOPs: 28.50 | 7: iteration 16800/ 37905 | consumed samples: 4300800 | consumed tokens: 8808038400 | elapsed time per iteration (s): 0.23 | learning rate: 1.275E-04 | global batch size: 256 | lm loss: 2.920258E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.770 | TFLOPs: 28.63 | 7: iteration 16810/ 37905 | consumed samples: 4303360 | consumed tokens: 8813281280 | elapsed 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samples per second: 1093.662 | TFLOPs: 27.86 | 7: iteration 16900/ 37905 | consumed samples: 4326400 | consumed tokens: 8860467200 | elapsed time per iteration (s): 0.23 | learning rate: 1.268E-04 | global batch size: 256 | lm loss: 2.896319E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.541 | TFLOPs: 28.06 | 7: iteration 16910/ 37905 | consumed samples: 4328960 | consumed tokens: 8865710080 | elapsed time per iteration (s): 0.23 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 2.887091E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.182 | TFLOPs: 28.18 | 7: iteration 16920/ 37905 | consumed samples: 4331520 | consumed tokens: 8870952960 | elapsed time per iteration (s): 0.23 | learning rate: 1.266E-04 | global batch size: 256 | lm loss: 2.887451E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.834 | TFLOPs: 28.30 | 7: iteration 16930/ 37905 | consumed samples: 4334080 | consumed tokens: 8876195840 | elapsed time per iteration (s): 0.23 | learning rate: 1.266E-04 | global batch size: 256 | lm loss: 2.892142E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.826 | TFLOPs: 28.25 | 7: iteration 16940/ 37905 | consumed samples: 4336640 | consumed tokens: 8881438720 | elapsed time per iteration (s): 0.25 | learning rate: 1.265E-04 | global batch size: 256 | lm loss: 2.910879E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1024.085 | TFLOPs: 26.09 | 7: iteration 16950/ 37905 | consumed samples: 4339200 | consumed tokens: 8886681600 | elapsed time per iteration (s): 0.23 | learning rate: 1.264E-04 | global batch size: 256 | lm loss: 2.883356E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.194 | TFLOPs: 28.38 | 7: iteration 16960/ 37905 | consumed samples: 4341760 | consumed tokens: 8891924480 | elapsed time per iteration (s): 0.23 | learning rate: 1.263E-04 | global batch size: 256 | lm loss: 2.906515E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.891 | TFLOPs: 28.33 | 7: iteration 16970/ 37905 | consumed samples: 4344320 | consumed tokens: 8897167360 | elapsed time per iteration (s): 0.23 | learning rate: 1.263E-04 | global batch size: 256 | lm loss: 2.902255E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.214 | TFLOPs: 28.49 | 7: iteration 16980/ 37905 | consumed samples: 4346880 | consumed tokens: 8902410240 | elapsed time per iteration (s): 0.23 | learning rate: 1.262E-04 | global batch size: 256 | lm loss: 2.944475E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.769 | TFLOPs: 28.37 | 7: iteration 16990/ 37905 | consumed samples: 4349440 | consumed tokens: 8907653120 | elapsed time per iteration (s): 0.23 | learning rate: 1.261E-04 | global batch size: 256 | lm loss: 2.926364E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.736 | TFLOPs: 28.65 | 7: iteration 17000/ 37905 | consumed samples: 4352000 | consumed tokens: 8912896000 | elapsed time per iteration (s): 0.25 | learning rate: 1.261E-04 | global batch size: 256 | lm loss: 2.927670E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1040.458 | TFLOPs: 26.51 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 17000 | lm loss value: 2.862223E+00 | lm loss PPL: 1.750039E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 17000 to checkpoints_83mwarmup 0: [2022-11-24 18:34:12,800] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step17000 is begin to save! 0: [2022-11-24 18:34:12,899] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step17000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:34:13,149] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step17000/layer_01-model_00-model_states.pt. 0: [2022-11-24 18:34:13,149] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step17000/layer_03-model_00-model_states.pt... 0: [2022-11-24 18:34:13,161] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step17000/layer_03-model_00-model_states.pt. 0: [2022-11-24 18:34:13,161] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step17000/layer_04-model_00-model_states.pt... 0: [2022-11-24 18:34:13,173] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step17000/layer_04-model_00-model_states.pt. 0: [2022-11-24 18:34:13,173] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step17000/layer_05-model_00-model_states.pt... 0: [2022-11-24 18:34:13,184] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step17000/layer_05-model_00-model_states.pt. 0: [2022-11-24 18:34:13,184] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step17000/layer_06-model_00-model_states.pt... 0: [2022-11-24 18:34:13,195] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step17000/layer_06-model_00-model_states.pt. 0: [2022-11-24 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[torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step17000/layer_14-model_00-model_states.pt... 0: [2022-11-24 18:34:13,263] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step17000/layer_14-model_00-model_states.pt. 0: [2022-11-24 18:34:13,264] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83mwarmup/global_step17000/mp_rank_00_model_states.pt 0: [2022-11-24 18:34:13,264] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step17000/mp_rank_00_model_states.pt... 0: [2022-11-24 18:34:13,268] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step17000/mp_rank_00_model_states.pt. 0: [2022-11-24 18:34:13,286] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step17000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt... 2: [2022-11-24 18:34:13,286] [INFO] 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| grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.763 | TFLOPs: 28.04 | 7: iteration 17030/ 37905 | consumed samples: 4359680 | consumed tokens: 8928624640 | elapsed time per iteration (s): 0.23 | learning rate: 1.258E-04 | global batch size: 256 | lm loss: 2.930368E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.596 | TFLOPs: 28.60 | 7: iteration 17040/ 37905 | consumed samples: 4362240 | consumed tokens: 8933867520 | elapsed time per iteration (s): 0.23 | learning rate: 1.258E-04 | global batch size: 256 | lm loss: 2.930471E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.950 | TFLOPs: 27.97 | 7: iteration 17050/ 37905 | consumed samples: 4364800 | consumed tokens: 8939110400 | elapsed time per iteration (s): 0.23 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 2.933976E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.370 | TFLOPs: 28.67 | 7: iteration 17060/ 37905 | consumed samples: 4367360 | consumed tokens: 8944353280 | elapsed time per iteration (s): 0.23 | learning rate: 1.256E-04 | global batch size: 256 | lm loss: 2.857111E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.720 | TFLOPs: 27.94 | 7: iteration 17070/ 37905 | consumed samples: 4369920 | consumed tokens: 8949596160 | elapsed time per iteration (s): 0.23 | learning rate: 1.255E-04 | global batch size: 256 | lm loss: 2.916237E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.973 | TFLOPs: 28.07 | 7: iteration 17080/ 37905 | consumed samples: 4372480 | consumed tokens: 8954839040 | elapsed time per iteration (s): 0.23 | learning rate: 1.255E-04 | global batch size: 256 | lm loss: 2.916141E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.028 | TFLOPs: 28.38 | 7: iteration 17090/ 37905 | consumed samples: 4375040 | consumed tokens: 8960081920 | elapsed time per iteration (s): 0.23 | learning rate: 1.254E-04 | global batch size: 256 | lm loss: 2.916430E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.810 | TFLOPs: 28.35 | 7: iteration 17100/ 37905 | consumed samples: 4377600 | consumed tokens: 8965324800 | elapsed time per iteration (s): 0.23 | learning rate: 1.253E-04 | global batch size: 256 | lm loss: 2.906403E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.527 | TFLOPs: 28.62 | 7: iteration 17110/ 37905 | consumed samples: 4380160 | consumed tokens: 8970567680 | elapsed time per iteration (s): 0.23 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 2.894984E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.503 | TFLOPs: 28.70 | 7: iteration 17120/ 37905 | consumed samples: 4382720 | consumed tokens: 8975810560 | elapsed time per iteration (s): 0.23 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 2.948357E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.072 | TFLOPs: 28.58 | 7: iteration 17130/ 37905 | consumed samples: 4385280 | consumed tokens: 8981053440 | elapsed time per iteration (s): 0.25 | learning rate: 1.251E-04 | global batch size: 256 | lm loss: 2.884858E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1035.560 | TFLOPs: 26.38 | 7: iteration 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second: 1115.148 | TFLOPs: 28.41 | 7: iteration 17170/ 37905 | consumed samples: 4395520 | consumed tokens: 9002024960 | elapsed time per iteration (s): 0.23 | learning rate: 1.248E-04 | global batch size: 256 | lm loss: 2.932815E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.987 | TFLOPs: 28.48 | 7: iteration 17180/ 37905 | consumed samples: 4398080 | consumed tokens: 9007267840 | elapsed time per iteration (s): 0.23 | learning rate: 1.247E-04 | global batch size: 256 | lm loss: 2.898999E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.549 | TFLOPs: 28.72 | 7: iteration 17190/ 37905 | consumed samples: 4400640 | consumed tokens: 9012510720 | elapsed time per iteration (s): 0.23 | learning rate: 1.246E-04 | global batch size: 256 | lm loss: 2.930609E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.277 | TFLOPs: 28.03 | 7: iteration 17200/ 37905 | consumed samples: 4403200 | consumed tokens: 9017753600 | elapsed time per iteration (s): 0.23 | learning rate: 1.246E-04 | global batch size: 256 | lm loss: 2.859622E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.694 | TFLOPs: 28.37 | 7: iteration 17210/ 37905 | consumed samples: 4405760 | consumed tokens: 9022996480 | elapsed time per iteration (s): 0.23 | learning rate: 1.245E-04 | global batch size: 256 | lm loss: 2.886585E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.669 | TFLOPs: 28.07 | 7: iteration 17220/ 37905 | consumed samples: 4408320 | consumed tokens: 9028239360 | elapsed time per iteration (s): 0.23 | learning rate: 1.244E-04 | global batch size: 256 | lm loss: 2.882314E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.103 | TFLOPs: 28.03 | 7: iteration 17230/ 37905 | consumed samples: 4410880 | consumed tokens: 9033482240 | elapsed time per iteration (s): 0.23 | learning rate: 1.243E-04 | global batch size: 256 | lm loss: 2.935435E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.373 | TFLOPs: 28.49 | 7: iteration 17240/ 37905 | consumed samples: 4413440 | consumed tokens: 9038725120 | elapsed time per iteration (s): 0.23 | learning rate: 1.243E-04 | global batch size: 256 | lm loss: 2.932055E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.174 | TFLOPs: 28.64 | 7: iteration 17250/ 37905 | consumed samples: 4416000 | consumed tokens: 9043968000 | elapsed time per iteration (s): 0.23 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 2.899854E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.694 | TFLOPs: 28.22 | 7: iteration 17260/ 37905 | consumed samples: 4418560 | consumed tokens: 9049210880 | elapsed time per iteration (s): 0.23 | learning rate: 1.241E-04 | global batch size: 256 | lm loss: 2.904038E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.364 | TFLOPs: 27.93 | 7: iteration 17270/ 37905 | consumed samples: 4421120 | consumed tokens: 9054453760 | elapsed time per iteration (s): 0.23 | learning rate: 1.240E-04 | global batch size: 256 | lm loss: 2.927050E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.221 | TFLOPs: 28.54 | 7: iteration 17280/ 37905 | consumed samples: 4423680 | consumed tokens: 9059696640 | elapsed time per iteration (s): 0.23 | learning rate: 1.240E-04 | global batch size: 256 | lm loss: 2.913414E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.411 | TFLOPs: 28.01 | 7: iteration 17290/ 37905 | consumed samples: 4426240 | consumed tokens: 9064939520 | elapsed time per iteration (s): 0.23 | learning rate: 1.239E-04 | global batch size: 256 | lm loss: 2.916135E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.403 | TFLOPs: 28.08 | 7: iteration 17300/ 37905 | consumed samples: 4428800 | consumed tokens: 9070182400 | elapsed time per iteration (s): 0.23 | learning rate: 1.238E-04 | global batch size: 256 | lm loss: 2.919939E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.426 | TFLOPs: 28.21 | 7: iteration 17310/ 37905 | consumed samples: 4431360 | consumed tokens: 9075425280 | elapsed time per iteration (s): 0.23 | learning rate: 1.237E-04 | global batch size: 256 | lm loss: 2.885367E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.304 | TFLOPs: 28.06 | 7: iteration 17320/ 37905 | consumed samples: 4433920 | consumed tokens: 9080668160 | elapsed time per iteration (s): 0.23 | learning rate: 1.237E-04 | global batch size: 256 | lm loss: 2.898593E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.193 | TFLOPs: 28.51 | 7: iteration 17330/ 37905 | consumed samples: 4436480 | consumed tokens: 9085911040 | elapsed time per iteration (s): 0.23 | learning rate: 1.236E-04 | global batch size: 256 | lm loss: 2.922743E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.814 | TFLOPs: 27.99 | 7: iteration 17340/ 37905 | consumed samples: 4439040 | consumed tokens: 9091153920 | elapsed time per iteration (s): 0.23 | learning rate: 1.235E-04 | global batch size: 256 | lm loss: 2.897202E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.615 | TFLOPs: 28.32 | 7: iteration 17350/ 37905 | consumed samples: 4441600 | consumed tokens: 9096396800 | elapsed time per iteration (s): 0.23 | learning rate: 1.235E-04 | global batch size: 256 | lm loss: 2.883399E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.727 | TFLOPs: 28.37 | 7: iteration 17360/ 37905 | consumed samples: 4444160 | consumed tokens: 9101639680 | elapsed time per iteration (s): 0.23 | learning rate: 1.234E-04 | global batch size: 256 | lm loss: 2.873944E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.965 | TFLOPs: 28.74 | 7: iteration 17370/ 37905 | consumed samples: 4446720 | consumed tokens: 9106882560 | elapsed time per iteration (s): 0.23 | learning rate: 1.233E-04 | global batch size: 256 | lm loss: 2.884236E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.793 | TFLOPs: 28.73 | 7: iteration 17380/ 37905 | consumed samples: 4449280 | consumed tokens: 9112125440 | elapsed time per iteration (s): 0.23 | learning rate: 1.232E-04 | global batch size: 256 | lm loss: 2.916750E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.698 | TFLOPs: 28.22 | 7: iteration 17390/ 37905 | consumed samples: 4451840 | consumed tokens: 9117368320 | elapsed time per iteration (s): 0.23 | learning rate: 1.232E-04 | global batch size: 256 | lm loss: 2.941542E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.299 | TFLOPs: 28.41 | 7: iteration 17400/ 37905 | consumed samples: 4454400 | consumed tokens: 9122611200 | elapsed time per iteration (s): 0.23 | learning rate: 1.231E-04 | global batch size: 256 | lm loss: 2.910904E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.143 | TFLOPs: 28.56 | 7: iteration 17410/ 37905 | consumed samples: 4456960 | consumed tokens: 9127854080 | elapsed time per iteration (s): 0.23 | learning rate: 1.230E-04 | global batch size: 256 | lm loss: 2.900388E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.959 | TFLOPs: 28.68 | 7: iteration 17420/ 37905 | consumed samples: 4459520 | consumed tokens: 9133096960 | elapsed time per iteration (s): 0.23 | learning rate: 1.229E-04 | global batch size: 256 | lm loss: 2.902398E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.833 | TFLOPs: 28.66 | 7: iteration 17430/ 37905 | consumed samples: 4462080 | consumed tokens: 9138339840 | elapsed time per iteration (s): 0.23 | learning rate: 1.229E-04 | global batch size: 256 | lm loss: 2.922527E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1127.541 | TFLOPs: 28.72 | 7: iteration 17440/ 37905 | consumed samples: 4464640 | consumed tokens: 9143582720 | elapsed time per iteration (s): 0.23 | learning rate: 1.228E-04 | global batch size: 256 | lm loss: 2.888212E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.560 | TFLOPs: 28.60 | 7: iteration 17450/ 37905 | consumed samples: 4467200 | consumed tokens: 9148825600 | elapsed time per iteration (s): 0.23 | learning rate: 1.227E-04 | global batch size: 256 | lm loss: 2.921550E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.595 | TFLOPs: 28.70 | 7: iteration 17460/ 37905 | consumed samples: 4469760 | consumed tokens: 9154068480 | elapsed time per iteration (s): 0.23 | learning rate: 1.226E-04 | global batch size: 256 | lm loss: 2.928504E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.178 | TFLOPs: 28.28 | 7: iteration 17470/ 37905 | consumed samples: 4472320 | consumed tokens: 9159311360 | elapsed time per iteration (s): 0.23 | learning rate: 1.226E-04 | global batch size: 256 | lm loss: 2.874095E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.014 | TFLOPs: 28.51 | 7: iteration 17480/ 37905 | consumed samples: 4474880 | consumed tokens: 9164554240 | elapsed time per iteration (s): 0.23 | learning rate: 1.225E-04 | global batch size: 256 | lm loss: 2.913639E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.793 | TFLOPs: 28.32 | 7: iteration 17490/ 37905 | consumed samples: 4477440 | consumed tokens: 9169797120 | elapsed time per iteration (s): 0.24 | learning rate: 1.224E-04 | global batch size: 256 | lm loss: 2.934088E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1051.684 | TFLOPs: 26.79 | 7: iteration 17500/ 37905 | consumed samples: 4480000 | consumed tokens: 9175040000 | elapsed time per iteration (s): 0.24 | learning rate: 1.223E-04 | global batch size: 256 | lm loss: 2.886254E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.179 | TFLOPs: 27.19 | 7: iteration 17510/ 37905 | consumed samples: 4482560 | consumed tokens: 9180282880 | elapsed time per iteration (s): 0.23 | learning rate: 1.223E-04 | global batch size: 256 | lm loss: 2.880048E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.582 | TFLOPs: 28.14 | 7: iteration 17520/ 37905 | consumed samples: 4485120 | consumed tokens: 9185525760 | elapsed time per iteration (s): 0.23 | learning rate: 1.222E-04 | global batch size: 256 | lm loss: 2.908031E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.065 | TFLOPs: 28.58 | 7: iteration 17530/ 37905 | consumed samples: 4487680 | consumed tokens: 9190768640 | elapsed time per iteration (s): 0.23 | learning rate: 1.221E-04 | global batch size: 256 | lm loss: 2.943082E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.348 | TFLOPs: 28.13 | 7: iteration 17540/ 37905 | consumed samples: 4490240 | consumed tokens: 9196011520 | elapsed time per iteration (s): 0.23 | learning rate: 1.220E-04 | global batch size: 256 | lm loss: 2.949463E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.595 | TFLOPs: 28.37 | 7: iteration 17550/ 37905 | consumed samples: 4492800 | consumed tokens: 9201254400 | elapsed time per iteration (s): 0.23 | learning rate: 1.220E-04 | global batch size: 256 | lm loss: 2.914073E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.515 | TFLOPs: 28.37 | 7: iteration 17560/ 37905 | consumed samples: 4495360 | consumed tokens: 9206497280 | elapsed time per iteration (s): 0.23 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 2.892526E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.924 | TFLOPs: 28.28 | 7: iteration 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second: 1003.999 | TFLOPs: 25.58 | 7: iteration 17600/ 37905 | consumed samples: 4505600 | consumed tokens: 9227468800 | elapsed time per iteration (s): 0.23 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 2.927563E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.387 | TFLOPs: 28.41 | 7: iteration 17610/ 37905 | consumed samples: 4508160 | consumed tokens: 9232711680 | elapsed time per iteration (s): 0.23 | learning rate: 1.215E-04 | global batch size: 256 | lm loss: 2.911612E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.968 | TFLOPs: 28.63 | 7: iteration 17620/ 37905 | consumed samples: 4510720 | consumed tokens: 9237954560 | elapsed time per iteration (s): 0.23 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 2.925454E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.034 | TFLOPs: 28.69 | 7: iteration 17630/ 37905 | consumed samples: 4513280 | consumed tokens: 9243197440 | elapsed time per iteration (s): 0.23 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 2.894999E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.254 | TFLOPs: 28.67 | 7: iteration 17640/ 37905 | consumed samples: 4515840 | consumed tokens: 9248440320 | elapsed time per iteration (s): 0.23 | learning rate: 1.213E-04 | global batch size: 256 | lm loss: 2.882619E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.063 | TFLOPs: 28.08 | 7: iteration 17650/ 37905 | consumed samples: 4518400 | consumed tokens: 9253683200 | elapsed time per iteration (s): 0.23 | learning rate: 1.212E-04 | global batch size: 256 | lm loss: 2.920425E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.675 | TFLOPs: 28.04 | 7: iteration 17660/ 37905 | consumed samples: 4520960 | consumed tokens: 9258926080 | elapsed time per iteration (s): 0.24 | learning rate: 1.211E-04 | global batch size: 256 | lm loss: 2.921955E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.989 | TFLOPs: 27.46 | 7: iteration 17670/ 37905 | consumed samples: 4523520 | consumed tokens: 9264168960 | elapsed time per iteration (s): 0.39 | learning rate: 1.211E-04 | global batch size: 256 | lm loss: 2.865878E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 649.939 | TFLOPs: 16.56 | 7: iteration 17680/ 37905 | consumed samples: 4526080 | consumed tokens: 9269411840 | elapsed time per iteration (s): 0.25 | learning rate: 1.210E-04 | global batch size: 256 | lm loss: 2.902076E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1035.501 | TFLOPs: 26.38 | 7: iteration 17690/ 37905 | consumed samples: 4528640 | consumed tokens: 9274654720 | elapsed time per iteration (s): 0.23 | learning rate: 1.209E-04 | global batch size: 256 | lm loss: 2.943883E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.488 | TFLOPs: 28.14 | 7: iteration 17700/ 37905 | consumed samples: 4531200 | consumed tokens: 9279897600 | elapsed time per iteration (s): 0.23 | learning rate: 1.208E-04 | global batch size: 256 | lm loss: 2.912277E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.574 | TFLOPs: 28.29 | 7: iteration 17710/ 37905 | consumed samples: 4533760 | consumed tokens: 9285140480 | elapsed time per iteration (s): 0.23 | learning rate: 1.208E-04 | global batch size: 256 | lm loss: 2.908281E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.971 | TFLOPs: 27.77 | 7: iteration 17720/ 37905 | consumed samples: 4536320 | consumed tokens: 9290383360 | elapsed time per iteration (s): 0.24 | learning rate: 1.207E-04 | global batch size: 256 | lm loss: 2.910297E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.570 | TFLOPs: 27.60 | 7: iteration 17730/ 37905 | consumed samples: 4538880 | consumed tokens: 9295626240 | elapsed time per iteration (s): 0.23 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 2.863406E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.231 | TFLOPs: 28.16 | 7: iteration 17740/ 37905 | consumed samples: 4541440 | consumed tokens: 9300869120 | elapsed time per iteration (s): 0.23 | learning rate: 1.205E-04 | global batch size: 256 | lm loss: 2.910760E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.829 | TFLOPs: 27.81 | 7: iteration 17750/ 37905 | consumed samples: 4544000 | consumed tokens: 9306112000 | elapsed time per iteration (s): 0.23 | learning rate: 1.205E-04 | global batch size: 256 | lm loss: 2.935137E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.185 | TFLOPs: 28.36 | 7: iteration 17760/ 37905 | consumed samples: 4546560 | consumed tokens: 9311354880 | elapsed time per iteration (s): 0.23 | learning rate: 1.204E-04 | global batch size: 256 | lm loss: 2.933048E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.678 | TFLOPs: 28.07 | 7: iteration 17770/ 37905 | consumed samples: 4549120 | consumed tokens: 9316597760 | elapsed time per iteration (s): 0.23 | learning rate: 1.203E-04 | global batch size: 256 | lm loss: 2.926621E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.804 | TFLOPs: 28.27 | 7: iteration 17780/ 37905 | consumed samples: 4551680 | consumed tokens: 9321840640 | elapsed time per iteration (s): 0.24 | learning rate: 1.202E-04 | global batch size: 256 | lm loss: 2.920622E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1053.370 | TFLOPs: 26.83 | 7: iteration 17790/ 37905 | consumed samples: 4554240 | consumed tokens: 9327083520 | elapsed time per iteration (s): 0.23 | learning rate: 1.202E-04 | global batch size: 256 | lm loss: 2.882081E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.868 | TFLOPs: 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0 | samples per second: 1115.299 | TFLOPs: 28.41 | 7: iteration 17830/ 37905 | consumed samples: 4564480 | consumed tokens: 9348055040 | elapsed time per iteration (s): 0.23 | learning rate: 1.199E-04 | global batch size: 256 | lm loss: 2.927661E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.116 | TFLOPs: 28.56 | 7: iteration 17840/ 37905 | consumed samples: 4567040 | consumed tokens: 9353297920 | elapsed time per iteration (s): 0.23 | learning rate: 1.198E-04 | global batch size: 256 | lm loss: 2.901347E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.064 | TFLOPs: 27.95 | 7: iteration 17850/ 37905 | consumed samples: 4569600 | consumed tokens: 9358540800 | elapsed time per iteration (s): 0.23 | learning rate: 1.197E-04 | global batch size: 256 | lm loss: 2.900026E+00 | grad norm: 0.247 | num zeros: 0.0 | number of 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[2022-11-24 18:38:06,431] [INFO] [logging.py:68:log_dist] [Rank 0] step=18000, skipped=0, lr=[0.00011859190008696891, 0.00011859190008696891, 0.00011859190008696891], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 18000/ 37905 | consumed samples: 4608000 | consumed tokens: 9437184000 | elapsed time per iteration (s): 0.23 | learning rate: 1.186E-04 | global batch size: 256 | lm loss: 2.914789E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.061 | TFLOPs: 27.87 | 0: steps: 18000 loss: 2.8776 iter time (s): 0.233 samples/sec: 1098.716 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 18000 | lm loss value: 2.693759E+00 | lm loss PPL: 1.478716E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 18000 to checkpoints_83mwarmup 0: [2022-11-24 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checkpoints_83mwarmup/global_step18000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2022-11-24 18:38:06,868] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 2: [2022-11-24 18:38:06,868] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step18000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-24 18:38:06,868] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step18000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-24 18:38:06,868] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step18000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 4: [2022-11-24 18:38:06,868] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 2: [2022-11-24 18:38:06,868] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step18000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 4: [2022-11-24 18:38:06,868] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 4: [2022-11-24 18:38:06,868] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 2: [2022-11-24 18:38:06,869] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step18000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 4: [2022-11-24 18:38:06,869] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step18000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 2: [2022-11-24 18:38:06,869] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step18000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 4: [2022-11-24 18:38:06,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 2: [2022-11-24 18:38:06,869] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step18000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-24 18:38:06,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 2: [2022-11-24 18:38:06,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 2: [2022-11-24 18:38:06,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 2: [2022-11-24 18:38:06,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 2: [2022-11-24 18:38:06,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 2: [2022-11-24 18:38:06,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 2: [2022-11-24 18:38:06,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 0: successfully saved checkpoint at iteration 18000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 352.84 7: iteration 18010/ 37905 | consumed samples: 4610560 | consumed tokens: 9442426880 | elapsed time per iteration (s): 0.27 | learning rate: 1.185E-04 | global batch size: 256 | lm loss: 2.926263E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 944.515 | TFLOPs: 24.06 | 7: iteration 18020/ 37905 | consumed samples: 4613120 | consumed tokens: 9447669760 | elapsed time per iteration (s): 0.23 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 2.914479E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.995 | TFLOPs: 28.23 | 7: iteration 18030/ 37905 | consumed samples: 4615680 | consumed tokens: 9452912640 | elapsed time per iteration (s): 0.23 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 2.883845E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.745 | TFLOPs: 28.14 | 7: iteration 18040/ 37905 | consumed samples: 4618240 | consumed tokens: 9458155520 | elapsed time per iteration (s): 0.23 | learning rate: 1.183E-04 | global batch size: 256 | lm loss: 2.908844E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.435 | TFLOPs: 28.19 | 7: iteration 18050/ 37905 | consumed samples: 4620800 | consumed tokens: 9463398400 | elapsed time per iteration (s): 0.23 | learning rate: 1.182E-04 | global batch size: 256 | lm loss: 2.909879E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.619 | TFLOPs: 28.17 | 7: iteration 18060/ 37905 | consumed samples: 4623360 | consumed tokens: 9468641280 | elapsed time per iteration (s): 0.23 | learning rate: 1.181E-04 | global batch size: 256 | lm loss: 2.876457E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.433 | TFLOPs: 28.57 | 7: iteration 18070/ 37905 | consumed samples: 4625920 | consumed tokens: 9473884160 | elapsed time per iteration (s): 0.23 | learning rate: 1.181E-04 | global batch size: 256 | lm loss: 2.923167E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.696 | TFLOPs: 28.35 | 7: iteration 18080/ 37905 | consumed samples: 4628480 | consumed tokens: 9479127040 | elapsed time per iteration (s): 0.23 | learning rate: 1.180E-04 | global batch size: 256 | lm loss: 2.886615E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.706 | TFLOPs: 28.02 | 7: iteration 18090/ 37905 | consumed samples: 4631040 | consumed tokens: 9484369920 | elapsed time per iteration (s): 0.23 | learning rate: 1.179E-04 | global batch size: 256 | lm loss: 2.920452E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.460 | TFLOPs: 28.49 | 7: iteration 18100/ 37905 | consumed samples: 4633600 | consumed tokens: 9489612800 | elapsed time per iteration (s): 0.23 | learning rate: 1.178E-04 | global batch size: 256 | lm loss: 2.903307E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.415 | TFLOPs: 28.64 | 7: iteration 18110/ 37905 | consumed samples: 4636160 | consumed tokens: 9494855680 | elapsed time per iteration (s): 0.23 | learning rate: 1.178E-04 | global batch size: 256 | lm loss: 2.934248E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.878 | TFLOPs: 28.66 | 7: iteration 18120/ 37905 | consumed samples: 4638720 | consumed tokens: 9500098560 | elapsed time per iteration (s): 0.25 | learning rate: 1.177E-04 | global batch size: 256 | lm loss: 2.938102E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1028.681 | TFLOPs: 26.21 | 7: iteration 18130/ 37905 | consumed samples: 4641280 | consumed tokens: 9505341440 | elapsed time per iteration (s): 0.24 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 2.923936E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1057.586 | TFLOPs: 26.94 | 7: iteration 18140/ 37905 | consumed samples: 4643840 | consumed tokens: 9510584320 | elapsed time per iteration (s): 0.24 | learning rate: 1.175E-04 | global batch size: 256 | lm loss: 2.879173E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1061.071 | TFLOPs: 27.03 | 7: iteration 18150/ 37905 | consumed samples: 4646400 | consumed tokens: 9515827200 | elapsed time per iteration (s): 0.23 | learning rate: 1.175E-04 | global batch size: 256 | lm loss: 2.872143E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.138 | TFLOPs: 28.38 | 7: iteration 18160/ 37905 | consumed samples: 4648960 | consumed tokens: 9521070080 | elapsed time per iteration (s): 0.23 | learning rate: 1.174E-04 | global batch size: 256 | lm loss: 2.860292E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.792 | TFLOPs: 28.50 | 7: iteration 18170/ 37905 | consumed samples: 4651520 | consumed tokens: 9526312960 | elapsed time per iteration (s): 0.23 | learning rate: 1.173E-04 | global batch size: 256 | lm loss: 2.880311E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.054 | TFLOPs: 28.20 | 7: iteration 18180/ 37905 | consumed samples: 4654080 | consumed tokens: 9531555840 | elapsed time per iteration (s): 0.24 | learning rate: 1.172E-04 | global batch size: 256 | lm loss: 2.885171E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.955 | TFLOPs: 27.61 | 7: iteration 18190/ 37905 | consumed samples: 4656640 | consumed tokens: 9536798720 | elapsed time per iteration (s): 0.23 | learning rate: 1.172E-04 | global batch size: 256 | lm loss: 2.890463E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.210 | TFLOPs: 28.21 | 7: iteration 18200/ 37905 | consumed samples: 4659200 | consumed tokens: 9542041600 | elapsed time per iteration (s): 0.23 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 2.923957E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.733 | TFLOPs: 28.27 | 7: iteration 18210/ 37905 | consumed samples: 4661760 | consumed tokens: 9547284480 | elapsed time per iteration (s): 0.23 | learning rate: 1.170E-04 | global batch size: 256 | lm loss: 2.861669E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.679 | TFLOPs: 28.50 | 7: iteration 18220/ 37905 | consumed samples: 4664320 | consumed tokens: 9552527360 | elapsed time per iteration (s): 0.24 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 2.934773E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.319 | TFLOPs: 27.55 | 7: iteration 18230/ 37905 | consumed samples: 4666880 | consumed tokens: 9557770240 | elapsed time per iteration (s): 0.24 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 2.883472E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1062.495 | TFLOPs: 27.07 | 7: iteration 18240/ 37905 | consumed samples: 4669440 | consumed tokens: 9563013120 | elapsed time per iteration (s): 0.23 | learning rate: 1.168E-04 | global batch size: 256 | lm loss: 2.878346E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.467 | TFLOPs: 28.67 | 7: iteration 18250/ 37905 | consumed samples: 4672000 | consumed tokens: 9568256000 | elapsed time per iteration (s): 0.23 | learning rate: 1.167E-04 | global batch size: 256 | lm loss: 2.906268E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.735 | TFLOPs: 28.68 | 7: iteration 18260/ 37905 | consumed samples: 4674560 | consumed tokens: 9573498880 | elapsed time per iteration (s): 0.23 | learning rate: 1.166E-04 | global batch size: 256 | lm loss: 2.859000E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.392 | TFLOPs: 28.47 | 7: iteration 18270/ 37905 | consumed samples: 4677120 | consumed tokens: 9578741760 | elapsed time per iteration (s): 0.23 | learning rate: 1.166E-04 | global batch size: 256 | lm loss: 2.886443E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.874 | TFLOPs: 28.58 | 7: iteration 18280/ 37905 | consumed samples: 4679680 | consumed tokens: 9583984640 | elapsed time per iteration (s): 0.23 | learning rate: 1.165E-04 | global batch size: 256 | lm loss: 2.914588E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.436 | TFLOPs: 28.34 | 7: iteration 18290/ 37905 | consumed samples: 4682240 | consumed tokens: 9589227520 | elapsed time per iteration (s): 0.24 | learning rate: 1.164E-04 | global batch size: 256 | lm loss: 2.898555E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.981 | TFLOPs: 27.54 | 7: iteration 18300/ 37905 | consumed samples: 4684800 | consumed tokens: 9594470400 | elapsed time per iteration (s): 0.23 | learning rate: 1.163E-04 | global batch size: 256 | lm loss: 2.923746E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.399 | TFLOPs: 27.78 | 7: iteration 18310/ 37905 | consumed samples: 4687360 | consumed tokens: 9599713280 | elapsed time per iteration (s): 0.23 | learning rate: 1.163E-04 | global batch size: 256 | lm loss: 2.935696E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.814 | TFLOPs: 28.48 | 7: iteration 18320/ 37905 | consumed samples: 4689920 | consumed tokens: 9604956160 | elapsed time per iteration (s): 0.24 | learning rate: 1.162E-04 | global batch size: 256 | lm loss: 2.876182E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.531 | TFLOPs: 27.60 | 7: iteration 18330/ 37905 | consumed samples: 4692480 | consumed tokens: 9610199040 | elapsed time per iteration (s): 0.23 | learning rate: 1.161E-04 | global batch size: 256 | lm loss: 2.904157E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.730 | TFLOPs: 28.58 | 7: iteration 18340/ 37905 | consumed samples: 4695040 | consumed tokens: 9615441920 | elapsed time per iteration (s): 0.23 | learning rate: 1.160E-04 | global batch size: 256 | lm loss: 2.900179E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.285 | TFLOPs: 28.13 | 7: iteration 18350/ 37905 | consumed samples: 4697600 | consumed tokens: 9620684800 | elapsed time per iteration (s): 0.23 | learning rate: 1.160E-04 | global batch size: 256 | lm loss: 2.912807E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.696 | TFLOPs: 28.19 | 7: iteration 18360/ 37905 | consumed samples: 4700160 | consumed tokens: 9625927680 | elapsed time per iteration (s): 0.23 | learning rate: 1.159E-04 | global batch size: 256 | lm loss: 2.872857E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.417 | TFLOPs: 28.34 | 7: iteration 18370/ 37905 | consumed samples: 4702720 | consumed tokens: 9631170560 | elapsed time per iteration (s): 0.23 | learning rate: 1.158E-04 | global batch size: 256 | lm loss: 2.937622E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.001 | TFLOPs: 28.56 | 7: iteration 18380/ 37905 | consumed samples: 4705280 | consumed tokens: 9636413440 | elapsed time per iteration (s): 0.23 | learning rate: 1.157E-04 | global batch size: 256 | lm loss: 2.905498E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.285 | TFLOPs: 28.54 | 7: iteration 18390/ 37905 | consumed samples: 4707840 | consumed tokens: 9641656320 | elapsed time per iteration (s): 0.23 | learning rate: 1.157E-04 | global batch size: 256 | lm loss: 2.923256E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.151 | TFLOPs: 28.66 | 7: iteration 18400/ 37905 | consumed samples: 4710400 | consumed tokens: 9646899200 | elapsed time per iteration (s): 0.23 | learning rate: 1.156E-04 | global batch size: 256 | lm loss: 2.896590E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.612 | TFLOPs: 28.24 | 7: iteration 18410/ 37905 | consumed samples: 4712960 | consumed tokens: 9652142080 | elapsed time per iteration (s): 0.23 | learning rate: 1.155E-04 | global batch size: 256 | lm loss: 2.867646E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.140 | TFLOPs: 28.43 | 7: iteration 18420/ 37905 | consumed samples: 4715520 | consumed tokens: 9657384960 | elapsed time per iteration (s): 0.24 | learning rate: 1.154E-04 | global batch size: 256 | lm loss: 2.899636E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1060.715 | TFLOPs: 27.02 | 7: iteration 18430/ 37905 | consumed samples: 4718080 | consumed tokens: 9662627840 | elapsed time per iteration (s): 0.23 | learning rate: 1.154E-04 | global batch size: 256 | lm loss: 2.913869E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.625 | TFLOPs: 28.34 | 7: iteration 18440/ 37905 | consumed samples: 4720640 | consumed tokens: 9667870720 | elapsed time per iteration (s): 0.23 | learning rate: 1.153E-04 | global batch size: 256 | lm loss: 2.929236E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.658 | TFLOPs: 27.91 | 7: iteration 18450/ 37905 | consumed samples: 4723200 | consumed tokens: 9673113600 | elapsed time per iteration (s): 0.23 | learning rate: 1.152E-04 | global batch size: 256 | lm loss: 2.880867E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.606 | TFLOPs: 27.94 | 7: iteration 18460/ 37905 | consumed samples: 4725760 | consumed tokens: 9678356480 | elapsed time per iteration (s): 0.23 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 2.874081E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.866 | TFLOPs: 28.20 | 7: iteration 18470/ 37905 | consumed samples: 4728320 | consumed tokens: 9683599360 | elapsed time per iteration (s): 0.23 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 2.890114E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.971 | TFLOPs: 27.92 | 7: iteration 18480/ 37905 | consumed samples: 4730880 | consumed tokens: 9688842240 | elapsed time per iteration (s): 0.24 | learning rate: 1.150E-04 | global batch size: 256 | lm loss: 2.881496E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1047.389 | TFLOPs: 26.68 | 7: iteration 18490/ 37905 | consumed samples: 4733440 | consumed tokens: 9694085120 | elapsed time per iteration (s): 0.23 | learning rate: 1.149E-04 | global batch size: 256 | lm loss: 2.892192E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.215 | TFLOPs: 27.77 | 7: iteration 18500/ 37905 | consumed samples: 4736000 | consumed tokens: 9699328000 | elapsed time per iteration (s): 0.23 | learning rate: 1.148E-04 | global batch size: 256 | lm loss: 2.904685E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.779 | TFLOPs: 28.14 | 7: iteration 18510/ 37905 | consumed samples: 4738560 | consumed tokens: 9704570880 | elapsed time per iteration (s): 0.23 | learning rate: 1.148E-04 | global batch size: 256 | lm loss: 2.897336E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.164 | TFLOPs: 27.80 | 7: iteration 18520/ 37905 | consumed samples: 4741120 | consumed tokens: 9709813760 | elapsed time per iteration (s): 0.23 | learning rate: 1.147E-04 | global batch size: 256 | lm loss: 2.861654E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.278 | TFLOPs: 28.11 | 7: iteration 18530/ 37905 | consumed samples: 4743680 | consumed tokens: 9715056640 | elapsed time per iteration (s): 0.23 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 2.901926E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.588 | TFLOPs: 28.52 | 7: iteration 18540/ 37905 | consumed samples: 4746240 | consumed tokens: 9720299520 | elapsed time per iteration (s): 0.23 | learning rate: 1.145E-04 | global batch size: 256 | lm loss: 2.911720E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.099 | TFLOPs: 28.53 | 7: iteration 18550/ 37905 | consumed samples: 4748800 | consumed tokens: 9725542400 | elapsed time per iteration (s): 0.23 | learning rate: 1.145E-04 | global batch size: 256 | lm loss: 2.914400E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.952 | TFLOPs: 28.40 | 7: iteration 18560/ 37905 | consumed samples: 4751360 | consumed tokens: 9730785280 | elapsed time per iteration (s): 0.23 | learning rate: 1.144E-04 | global batch size: 256 | lm loss: 2.912253E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.987 | TFLOPs: 28.15 | 7: iteration 18570/ 37905 | consumed samples: 4753920 | consumed tokens: 9736028160 | elapsed time per iteration (s): 0.24 | learning rate: 1.143E-04 | global batch size: 256 | lm loss: 2.871714E+00 | grad norm: 0.241 | num zeros: 0.0 | 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consumed samples: 4843520 | consumed tokens: 9919528960 | elapsed time per iteration (s): 0.23 | learning rate: 1.117E-04 | global batch size: 256 | lm loss: 2.873625E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.760 | TFLOPs: 28.22 | 7: iteration 18930/ 37905 | consumed samples: 4846080 | consumed tokens: 9924771840 | elapsed time per iteration (s): 0.23 | learning rate: 1.116E-04 | global batch size: 256 | lm loss: 2.887427E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.393 | TFLOPs: 28.16 | 7: iteration 18940/ 37905 | consumed samples: 4848640 | consumed tokens: 9930014720 | elapsed time per iteration (s): 0.24 | learning rate: 1.115E-04 | global batch size: 256 | lm loss: 2.936920E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1058.886 | 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number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.427 | TFLOPs: 28.70 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 19000 | lm loss value: 2.781315E+00 | lm loss PPL: 1.614024E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 19000 to checkpoints_83mwarmup 0: [2022-11-24 18:41:59,356] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step19000 is begin to save! 0: [2022-11-24 18:41:59,359] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step19000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:41:59,431] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step19000/layer_01-model_00-model_states.pt. 0: [2022-11-24 18:41:59,432] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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loss: 2.925108E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 992.507 | TFLOPs: 25.28 | 7: iteration 19020/ 37905 | consumed samples: 4869120 | consumed tokens: 9971957760 | elapsed time per iteration (s): 0.23 | learning rate: 1.109E-04 | global batch size: 256 | lm loss: 2.916558E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.932 | TFLOPs: 28.71 | 7: iteration 19030/ 37905 | consumed samples: 4871680 | consumed tokens: 9977200640 | elapsed time per iteration (s): 0.23 | learning rate: 1.108E-04 | global batch size: 256 | lm loss: 2.883279E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.985 | TFLOPs: 28.68 | 7: iteration 19040/ 37905 | consumed samples: 4874240 | consumed tokens: 9982443520 | elapsed time per iteration (s): 0.23 | learning rate: 1.108E-04 | global batch size: 256 | lm loss: 2.917805E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.724 | TFLOPs: 28.45 | 7: iteration 19050/ 37905 | consumed samples: 4876800 | consumed tokens: 9987686400 | elapsed time per iteration (s): 0.24 | learning rate: 1.107E-04 | global batch size: 256 | lm loss: 2.878249E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1061.728 | TFLOPs: 27.05 | 7: iteration 19060/ 37905 | consumed samples: 4879360 | consumed tokens: 9992929280 | elapsed time per iteration (s): 0.23 | learning rate: 1.106E-04 | global batch size: 256 | lm loss: 2.884273E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.171 | TFLOPs: 28.13 | 7: iteration 19070/ 37905 | consumed samples: 4881920 | consumed tokens: 9998172160 | elapsed time per iteration (s): 0.23 | learning rate: 1.105E-04 | global batch size: 256 | lm loss: 2.872269E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.564 | TFLOPs: 28.04 | 7: iteration 19080/ 37905 | consumed samples: 4884480 | consumed tokens: 10003415040 | elapsed time per iteration (s): 0.23 | learning rate: 1.105E-04 | global batch size: 256 | lm loss: 2.907533E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.039 | TFLOPs: 27.97 | 7: iteration 19090/ 37905 | consumed samples: 4887040 | consumed tokens: 10008657920 | elapsed time per iteration (s): 0.23 | learning rate: 1.104E-04 | global batch size: 256 | lm loss: 2.922607E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.078 | TFLOPs: 28.51 | 7: iteration 19100/ 37905 | consumed 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iterations: 0 | samples per second: 1123.945 | TFLOPs: 28.63 | 7: iteration 19160/ 37905 | consumed samples: 4904960 | consumed tokens: 10045358080 | elapsed time per iteration (s): 0.24 | learning rate: 1.099E-04 | global batch size: 256 | lm loss: 2.908424E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.459 | TFLOPs: 27.63 | 7: iteration 19170/ 37905 | consumed samples: 4907520 | consumed tokens: 10050600960 | elapsed time per iteration (s): 0.23 | learning rate: 1.098E-04 | global batch size: 256 | lm loss: 2.883291E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.187 | TFLOPs: 28.49 | 7: iteration 19180/ 37905 | consumed samples: 4910080 | consumed tokens: 10055843840 | elapsed time per iteration (s): 0.23 | learning rate: 1.097E-04 | global batch size: 256 | lm loss: 2.905010E+00 | grad norm: 0.258 | num zeros: 0.0 | 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time per iteration (s): 0.23 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 2.867824E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.033 | TFLOPs: 28.00 | 7: iteration 19280/ 37905 | consumed samples: 4935680 | consumed tokens: 10108272640 | elapsed time per iteration (s): 0.23 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 2.892312E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.206 | TFLOPs: 27.90 | 7: iteration 19290/ 37905 | consumed samples: 4938240 | consumed tokens: 10113515520 | elapsed time per iteration (s): 0.23 | learning rate: 1.089E-04 | global batch size: 256 | lm loss: 2.908818E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.406 | TFLOPs: 28.29 | 7: iteration 19300/ 37905 | consumed samples: 4940800 | consumed tokens: 10118758400 | elapsed time per iteration (s): 0.23 | learning rate: 1.088E-04 | global batch size: 256 | lm loss: 2.895651E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.429 | TFLOPs: 28.57 | 7: iteration 19310/ 37905 | consumed samples: 4943360 | consumed tokens: 10124001280 | elapsed time per iteration (s): 0.23 | learning rate: 1.087E-04 | global batch size: 256 | lm loss: 2.890418E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.005 | TFLOPs: 28.10 | 7: iteration 19320/ 37905 | consumed samples: 4945920 | consumed tokens: 10129244160 | elapsed time per iteration (s): 0.23 | learning rate: 1.087E-04 | global batch size: 256 | lm loss: 2.873655E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.558 | TFLOPs: 28.37 | 7: iteration 19330/ 37905 | consumed samples: 4948480 | consumed tokens: 10134487040 | elapsed time per iteration (s): 0.23 | learning rate: 1.086E-04 | global batch size: 256 | lm loss: 2.867344E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.849 | TFLOPs: 28.38 | 7: iteration 19340/ 37905 | consumed samples: 4951040 | consumed tokens: 10139729920 | elapsed time per iteration (s): 0.23 | learning rate: 1.085E-04 | global batch size: 256 | lm loss: 2.900386E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.382 | TFLOPs: 28.41 | 7: iteration 19350/ 37905 | consumed samples: 4953600 | consumed tokens: 10144972800 | elapsed time per iteration (s): 0.23 | learning rate: 1.084E-04 | global batch size: 256 | lm loss: 2.888960E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.534 | TFLOPs: 28.55 | 7: iteration 19360/ 37905 | consumed samples: 4956160 | consumed tokens: 10150215680 | elapsed time per iteration (s): 0.23 | learning rate: 1.084E-04 | global batch size: 256 | lm loss: 2.887307E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.933 | TFLOPs: 28.40 | 7: iteration 19370/ 37905 | consumed samples: 4958720 | consumed tokens: 10155458560 | elapsed time per iteration (s): 0.23 | learning rate: 1.083E-04 | global batch size: 256 | lm loss: 2.885709E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.865 | TFLOPs: 28.30 | 7: iteration 19380/ 37905 | consumed samples: 4961280 | consumed tokens: 10160701440 | elapsed time per iteration (s): 0.23 | learning rate: 1.082E-04 | global batch size: 256 | lm loss: 2.864143E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.771 | TFLOPs: 28.60 | 7: iteration 19390/ 37905 | consumed samples: 4963840 | consumed tokens: 10165944320 | elapsed time per iteration (s): 0.23 | learning rate: 1.081E-04 | global batch size: 256 | lm loss: 2.896233E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.004 | TFLOPs: 28.30 | 7: iteration 19400/ 37905 | consumed samples: 4966400 | consumed tokens: 10171187200 | elapsed time per iteration (s): 0.23 | learning rate: 1.081E-04 | global batch size: 256 | lm loss: 2.896940E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.864 | TFLOPs: 28.40 | 7: iteration 19410/ 37905 | consumed samples: 4968960 | consumed tokens: 10176430080 | elapsed time per iteration (s): 0.23 | learning rate: 1.080E-04 | global batch size: 256 | lm loss: 2.903201E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.937 | TFLOPs: 28.10 | 7: iteration 19420/ 37905 | consumed samples: 4971520 | consumed tokens: 10181672960 | elapsed time per iteration (s): 0.24 | learning rate: 1.079E-04 | global batch size: 256 | lm loss: 2.907516E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.215 | TFLOPs: 27.49 | 7: iteration 19430/ 37905 | consumed samples: 4974080 | consumed tokens: 10186915840 | elapsed time per iteration (s): 0.25 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 2.923524E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1033.518 | TFLOPs: 26.33 | 7: iteration 19440/ 37905 | consumed samples: 4976640 | consumed tokens: 10192158720 | elapsed time per iteration (s): 0.23 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 2.899390E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.783 | TFLOPs: 28.27 | 7: iteration 19450/ 37905 | consumed samples: 4979200 | consumed tokens: 10197401600 | elapsed time per iteration (s): 0.23 | learning rate: 1.077E-04 | global batch size: 256 | lm loss: 2.914548E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.630 | TFLOPs: 28.45 | 7: iteration 19460/ 37905 | consumed samples: 4981760 | consumed tokens: 10202644480 | elapsed time per iteration (s): 0.23 | learning rate: 1.076E-04 | global batch size: 256 | lm loss: 2.885956E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.035 | TFLOPs: 28.63 | 7: iteration 19470/ 37905 | consumed samples: 4984320 | consumed tokens: 10207887360 | elapsed time per iteration 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second: 1108.940 | TFLOPs: 28.25 | 7: iteration 19560/ 37905 | consumed samples: 5007360 | consumed tokens: 10255073280 | elapsed time per iteration (s): 0.23 | learning rate: 1.069E-04 | global batch size: 256 | lm loss: 2.884524E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.626 | TFLOPs: 28.34 | 7: iteration 19570/ 37905 | consumed samples: 5009920 | consumed tokens: 10260316160 | elapsed time per iteration (s): 0.23 | learning rate: 1.068E-04 | global batch size: 256 | lm loss: 2.874307E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.178 | TFLOPs: 28.66 | 7: iteration 19580/ 37905 | consumed samples: 5012480 | consumed tokens: 10265559040 | elapsed time per iteration (s): 0.23 | learning rate: 1.067E-04 | global batch size: 256 | lm loss: 2.901206E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.316 | TFLOPs: 28.64 | 7: iteration 19590/ 37905 | consumed samples: 5015040 | consumed tokens: 10270801920 | elapsed time per iteration (s): 0.24 | learning rate: 1.066E-04 | global batch size: 256 | lm loss: 2.865917E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.497 | TFLOPs: 27.73 | 7: iteration 19600/ 37905 | consumed samples: 5017600 | consumed tokens: 10276044800 | elapsed time per iteration (s): 0.23 | learning rate: 1.066E-04 | global batch size: 256 | lm loss: 2.864476E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.534 | TFLOPs: 28.62 | 7: iteration 19610/ 37905 | consumed samples: 5020160 | consumed tokens: 10281287680 | elapsed time per iteration (s): 0.23 | learning rate: 1.065E-04 | global batch size: 256 | lm loss: 2.900540E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.737 | TFLOPs: 27.91 | 7: iteration 19620/ 37905 | consumed samples: 5022720 | consumed tokens: 10286530560 | elapsed time per iteration (s): 0.23 | learning rate: 1.064E-04 | global batch size: 256 | lm loss: 2.911311E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.058 | TFLOPs: 28.25 | 7: iteration 19630/ 37905 | consumed samples: 5025280 | consumed tokens: 10291773440 | elapsed time per iteration (s): 0.23 | learning rate: 1.063E-04 | global batch size: 256 | lm loss: 2.912686E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.401 | TFLOPs: 28.47 | 7: iteration 19640/ 37905 | consumed samples: 5027840 | consumed tokens: 10297016320 | elapsed time per iteration (s): 0.23 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 2.920225E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.408 | TFLOPs: 28.67 | 7: iteration 19650/ 37905 | consumed samples: 5030400 | consumed tokens: 10302259200 | elapsed time per iteration (s): 0.23 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 2.862320E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.750 | TFLOPs: 28.32 | 7: iteration 19660/ 37905 | consumed samples: 5032960 | consumed tokens: 10307502080 | elapsed time per iteration (s): 0.23 | learning rate: 1.061E-04 | global batch size: 256 | lm loss: 2.896021E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.618 | TFLOPs: 28.57 | 7: iteration 19670/ 37905 | consumed samples: 5035520 | consumed tokens: 10312744960 | elapsed time per iteration (s): 0.23 | learning rate: 1.060E-04 | global batch size: 256 | lm loss: 2.876944E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.505 | TFLOPs: 28.60 | 7: iteration 19680/ 37905 | consumed samples: 5038080 | consumed tokens: 10317987840 | elapsed time per iteration (s): 0.23 | learning rate: 1.059E-04 | global batch size: 256 | lm loss: 2.867886E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.657 | TFLOPs: 28.57 | 7: iteration 19690/ 37905 | consumed samples: 5040640 | consumed tokens: 10323230720 | elapsed time per iteration (s): 0.23 | learning rate: 1.059E-04 | global batch size: 256 | lm loss: 2.881424E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.938 | TFLOPs: 27.79 | 7: iteration 19700/ 37905 | consumed samples: 5043200 | consumed tokens: 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| consumed samples: 5050880 | consumed tokens: 10344202240 | elapsed time per iteration (s): 0.23 | learning rate: 1.056E-04 | global batch size: 256 | lm loss: 2.885766E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.094 | TFLOPs: 28.25 | 7: iteration 19740/ 37905 | consumed samples: 5053440 | consumed tokens: 10349445120 | elapsed time per iteration (s): 0.23 | learning rate: 1.055E-04 | global batch size: 256 | lm loss: 2.919454E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.229 | TFLOPs: 28.23 | 7: iteration 19750/ 37905 | consumed samples: 5056000 | consumed tokens: 10354688000 | elapsed time per iteration (s): 0.23 | learning rate: 1.054E-04 | global batch size: 256 | lm loss: 2.891818E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.496 | TFLOPs: 28.57 | 7: iteration 19760/ 37905 | consumed samples: 5058560 | consumed tokens: 10359930880 | elapsed time per iteration (s): 0.23 | learning rate: 1.053E-04 | global batch size: 256 | lm loss: 2.884302E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.002 | TFLOPs: 28.38 | 7: iteration 19770/ 37905 | consumed samples: 5061120 | consumed tokens: 10365173760 | elapsed time per iteration (s): 0.23 | learning rate: 1.053E-04 | global batch size: 256 | lm loss: 2.894204E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.378 | TFLOPs: 28.21 | 7: iteration 19780/ 37905 | consumed samples: 5063680 | consumed tokens: 10370416640 | elapsed time per iteration (s): 0.23 | learning rate: 1.052E-04 | global batch size: 256 | lm loss: 2.901004E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.907 | TFLOPs: 28.43 | 7: iteration 19790/ 37905 | consumed samples: 5066240 | consumed tokens: 10375659520 | elapsed time per iteration (s): 0.23 | learning rate: 1.051E-04 | global batch size: 256 | lm loss: 2.894213E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.602 | TFLOPs: 27.91 | 7: iteration 19800/ 37905 | consumed samples: 5068800 | consumed tokens: 10380902400 | elapsed time per iteration (s): 0.23 | learning rate: 1.050E-04 | global batch size: 256 | lm loss: 2.862459E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.310 | TFLOPs: 28.51 | 7: iteration 19810/ 37905 | consumed samples: 5071360 | consumed tokens: 10386145280 | elapsed time per iteration (s): 0.23 | learning rate: 1.050E-04 | global batch size: 256 | lm loss: 2.898300E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.981 | TFLOPs: 28.12 | 7: iteration 19820/ 37905 | consumed samples: 5073920 | consumed tokens: 10391388160 | elapsed time per iteration (s): 0.23 | learning rate: 1.049E-04 | global batch size: 256 | lm loss: 2.892322E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.300 | TFLOPs: 28.00 | 7: iteration 19830/ 37905 | consumed samples: 5076480 | consumed tokens: 10396631040 | elapsed time per iteration (s): 0.23 | learning rate: 1.048E-04 | global batch size: 256 | lm loss: 2.861253E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.180 | TFLOPs: 28.21 | 7: iteration 19840/ 37905 | consumed samples: 5079040 | consumed tokens: 10401873920 | elapsed time per iteration (s): 0.23 | learning rate: 1.047E-04 | global batch size: 256 | lm loss: 2.865257E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.054 | TFLOPs: 28.56 | 7: iteration 19850/ 37905 | consumed samples: 5081600 | consumed tokens: 10407116800 | elapsed time per iteration (s): 0.23 | learning rate: 1.047E-04 | global batch size: 256 | lm loss: 2.915318E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.992 | TFLOPs: 27.92 | 7: iteration 19860/ 37905 | consumed samples: 5084160 | consumed tokens: 10412359680 | elapsed time per iteration (s): 0.23 | learning rate: 1.046E-04 | global batch size: 256 | lm loss: 2.907946E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.057 | TFLOPs: 28.33 | 7: iteration 19870/ 37905 | consumed samples: 5086720 | consumed tokens: 10417602560 | elapsed time per iteration (s): 0.23 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 2.920613E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.133 | TFLOPs: 28.43 | 7: iteration 19880/ 37905 | consumed samples: 5089280 | consumed tokens: 10422845440 | elapsed time per iteration (s): 0.23 | learning rate: 1.044E-04 | global batch size: 256 | lm loss: 2.893167E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.180 | TFLOPs: 28.23 | 7: iteration 19890/ 37905 | consumed samples: 5091840 | consumed tokens: 10428088320 | elapsed time per iteration (s): 0.23 | learning rate: 1.044E-04 | global batch size: 256 | lm loss: 2.895039E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.044 | TFLOPs: 28.13 | 7: iteration 19900/ 37905 | consumed samples: 5094400 | consumed tokens: 10433331200 | elapsed time per iteration (s): 0.23 | learning rate: 1.043E-04 | global batch size: 256 | lm loss: 2.887117E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.494 | TFLOPs: 28.52 | 7: iteration 19910/ 37905 | consumed samples: 5096960 | consumed tokens: 10438574080 | elapsed time per iteration (s): 0.23 | learning rate: 1.042E-04 | global batch size: 256 | lm loss: 2.911729E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.390 | TFLOPs: 28.24 | 7: iteration 19920/ 37905 | consumed samples: 5099520 | consumed tokens: 10443816960 | elapsed time per iteration (s): 0.23 | learning rate: 1.041E-04 | global batch size: 256 | lm loss: 2.925873E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.221 | TFLOPs: 28.03 | 7: iteration 19930/ 37905 | consumed samples: 5102080 | consumed tokens: 10449059840 | elapsed time per iteration (s): 0.23 | learning rate: 1.041E-04 | global batch size: 256 | lm loss: 2.858081E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.681 | TFLOPs: 28.19 | 7: iteration 19940/ 37905 | consumed samples: 5104640 | consumed tokens: 10454302720 | elapsed time per iteration (s): 0.23 | learning rate: 1.040E-04 | global batch size: 256 | lm loss: 2.921284E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.373 | TFLOPs: 28.59 | 7: iteration 19950/ 37905 | consumed samples: 5107200 | consumed tokens: 10459545600 | elapsed time per iteration (s): 0.23 | learning rate: 1.039E-04 | global batch size: 256 | lm loss: 2.864610E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1129.515 | TFLOPs: 28.77 | 7: iteration 19960/ 37905 | consumed samples: 5109760 | consumed tokens: 10464788480 | elapsed time per iteration (s): 0.23 | learning rate: 1.038E-04 | global batch size: 256 | lm loss: 2.863131E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.604 | TFLOPs: 28.52 | 7: iteration 19970/ 37905 | consumed samples: 5112320 | consumed tokens: 10470031360 | elapsed time per iteration (s): 0.23 | learning rate: 1.038E-04 | global batch size: 256 | lm loss: 2.906646E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.172 | TFLOPs: 27.77 | 7: iteration 19980/ 37905 | consumed samples: 5114880 | consumed tokens: 10475274240 | elapsed time per iteration (s): 0.23 | learning rate: 1.037E-04 | global batch size: 256 | lm loss: 2.906791E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.418 | TFLOPs: 28.54 | 7: iteration 19990/ 37905 | consumed samples: 5117440 | consumed tokens: 10480517120 | elapsed time per iteration (s): 0.23 | learning rate: 1.036E-04 | global batch size: 256 | lm loss: 2.901913E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.891 | TFLOPs: 28.55 | 0: [2022-11-24 18:45:50,603] [INFO] [logging.py:68:log_dist] [Rank 0] step=20000, skipped=0, lr=[0.00010354137669750605, 0.00010354137669750605, 0.00010354137669750605], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 20000/ 37905 | consumed samples: 5120000 | consumed tokens: 10485760000 | elapsed time per iteration (s): 0.23 | learning rate: 1.035E-04 | global batch size: 256 | lm loss: 2.925381E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.104 | TFLOPs: 28.33 | 0: steps: 20000 loss: 2.8820 iter time (s): 0.230 samples/sec: 1114.231 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 20000 | lm loss value: 2.741021E+00 | lm loss PPL: 1.550281E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 20000 to checkpoints_83mwarmup 0: [2022-11-24 18:45:50,692] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step20000 is begin to save! 0: [2022-11-24 18:45:50,696] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step20000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:45:50,767] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step20000/layer_01-model_00-model_states.pt. 0: [2022-11-24 18:45:50,768] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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rate: 1.032E-04 | global batch size: 256 | lm loss: 2.904292E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.899 | TFLOPs: 28.30 | 7: iteration 20050/ 37905 | consumed samples: 5132800 | consumed tokens: 10511974400 | elapsed time per iteration (s): 0.23 | learning rate: 1.032E-04 | global batch size: 256 | lm loss: 2.877018E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.925 | TFLOPs: 27.82 | 7: iteration 20060/ 37905 | consumed samples: 5135360 | consumed tokens: 10517217280 | elapsed time per iteration (s): 0.23 | learning rate: 1.031E-04 | global batch size: 256 | lm loss: 2.894506E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.127 | TFLOPs: 27.82 | 7: iteration 20070/ 37905 | consumed samples: 5137920 | consumed tokens: 10522460160 | elapsed time per iteration (s): 0.25 | learning rate: 1.030E-04 | global batch size: 256 | lm loss: 2.858894E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1021.033 | TFLOPs: 26.01 | 7: iteration 20080/ 37905 | consumed samples: 5140480 | consumed tokens: 10527703040 | elapsed time per iteration (s): 0.24 | learning rate: 1.029E-04 | global batch size: 256 | lm loss: 2.871683E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1074.301 | TFLOPs: 27.37 | 7: iteration 20090/ 37905 | consumed samples: 5143040 | consumed tokens: 10532945920 | elapsed time per iteration (s): 0.23 | learning rate: 1.029E-04 | global batch size: 256 | lm loss: 2.841082E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.839 | TFLOPs: 28.22 | 7: iteration 20100/ 37905 | consumed 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TFLOPs: 28.19 | 7: iteration 20130/ 37905 | consumed samples: 5153280 | consumed tokens: 10553917440 | elapsed time per iteration (s): 0.23 | learning rate: 1.026E-04 | global batch size: 256 | lm loss: 2.889606E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.142 | TFLOPs: 28.54 | 7: iteration 20140/ 37905 | consumed samples: 5155840 | consumed tokens: 10559160320 | elapsed time per iteration (s): 0.23 | learning rate: 1.025E-04 | global batch size: 256 | lm loss: 2.879742E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.762 | TFLOPs: 27.89 | 7: iteration 20150/ 37905 | consumed samples: 5158400 | consumed tokens: 10564403200 | elapsed time per iteration (s): 0.23 | learning rate: 1.024E-04 | global batch size: 256 | lm loss: 2.893913E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.585 | TFLOPs: 28.29 | 7: iteration 20160/ 37905 | consumed samples: 5160960 | consumed tokens: 10569646080 | elapsed time per iteration (s): 0.23 | learning rate: 1.023E-04 | global batch size: 256 | lm loss: 2.932721E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.327 | TFLOPs: 28.69 | 7: iteration 20170/ 37905 | consumed samples: 5163520 | consumed tokens: 10574888960 | elapsed time per iteration (s): 0.23 | learning rate: 1.023E-04 | global batch size: 256 | lm loss: 2.879632E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1126.026 | TFLOPs: 28.69 | 7: iteration 20180/ 37905 | consumed samples: 5166080 | consumed tokens: 10580131840 | elapsed time per iteration (s): 0.24 | learning rate: 1.022E-04 | global batch size: 256 | lm loss: 2.892636E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.060 | TFLOPs: 27.54 | 7: iteration 20190/ 37905 | consumed samples: 5168640 | consumed tokens: 10585374720 | elapsed time per iteration (s): 0.23 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 2.885355E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.502 | TFLOPs: 28.37 | 7: iteration 20200/ 37905 | consumed samples: 5171200 | consumed tokens: 10590617600 | elapsed time per iteration (s): 0.23 | learning rate: 1.020E-04 | global batch size: 256 | lm loss: 2.898977E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.686 | TFLOPs: 28.47 | 7: iteration 20210/ 37905 | consumed samples: 5173760 | consumed tokens: 10595860480 | elapsed time per iteration (s): 0.23 | learning rate: 1.020E-04 | global batch size: 256 | lm loss: 2.842941E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.947 | TFLOPs: 27.97 | 7: iteration 20220/ 37905 | consumed samples: 5176320 | consumed tokens: 10601103360 | elapsed time per iteration (s): 0.23 | learning rate: 1.019E-04 | global batch size: 256 | lm loss: 2.863497E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.606 | TFLOPs: 28.24 | 7: iteration 20230/ 37905 | consumed samples: 5178880 | consumed tokens: 10606346240 | elapsed time per iteration (s): 0.23 | learning rate: 1.018E-04 | global batch size: 256 | lm loss: 2.887645E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.152 | TFLOPs: 28.31 | 7: iteration 20240/ 37905 | consumed samples: 5181440 | consumed tokens: 10611589120 | elapsed time per iteration (s): 0.23 | learning rate: 1.017E-04 | global batch size: 256 | lm loss: 2.885760E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.467 | TFLOPs: 27.93 | 7: iteration 20250/ 37905 | consumed samples: 5184000 | consumed tokens: 10616832000 | elapsed time per iteration (s): 0.24 | learning rate: 1.017E-04 | global batch size: 256 | lm loss: 2.876255E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.696 | TFLOPs: 27.73 | 7: iteration 20260/ 37905 | consumed samples: 5186560 | consumed tokens: 10622074880 | elapsed time per iteration (s): 0.23 | learning rate: 1.016E-04 | global batch size: 256 | lm loss: 2.874602E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.670 | TFLOPs: 28.35 | 7: iteration 20270/ 37905 | consumed samples: 5189120 | consumed tokens: 10627317760 | elapsed 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7: iteration 20330/ 37905 | consumed samples: 5204480 | consumed tokens: 10658775040 | elapsed time per iteration (s): 0.23 | learning rate: 1.011E-04 | global batch size: 256 | lm loss: 2.910585E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.461 | TFLOPs: 27.75 | 7: iteration 20340/ 37905 | consumed samples: 5207040 | consumed tokens: 10664017920 | elapsed time per iteration (s): 0.24 | learning rate: 1.010E-04 | global batch size: 256 | lm loss: 2.877562E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.298 | TFLOPs: 27.62 | 7: iteration 20350/ 37905 | consumed samples: 5209600 | consumed tokens: 10669260800 | elapsed time per iteration (s): 0.23 | learning rate: 1.009E-04 | global batch size: 256 | lm loss: 2.833710E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.235 | TFLOPs: 27.85 | 7: iteration 20360/ 37905 | consumed samples: 5212160 | consumed tokens: 10674503680 | elapsed time per iteration (s): 0.23 | learning rate: 1.008E-04 | global batch size: 256 | lm loss: 2.893292E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.324 | TFLOPs: 28.18 | 7: iteration 20370/ 37905 | consumed samples: 5214720 | consumed tokens: 10679746560 | elapsed time per iteration (s): 0.25 | learning rate: 1.008E-04 | global batch size: 256 | lm loss: 2.865518E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1043.509 | TFLOPs: 26.58 | 7: iteration 20380/ 37905 | consumed samples: 5217280 | consumed tokens: 10684989440 | elapsed time per iteration (s): 0.23 | learning rate: 1.007E-04 | global batch size: 256 | lm loss: 2.894875E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.735 | TFLOPs: 28.17 | 7: iteration 20390/ 37905 | consumed samples: 5219840 | consumed tokens: 10690232320 | elapsed time per iteration (s): 0.23 | learning rate: 1.006E-04 | global batch size: 256 | lm loss: 2.864473E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.251 | TFLOPs: 28.49 | 7: iteration 20400/ 37905 | consumed samples: 5222400 | consumed tokens: 10695475200 | elapsed time per iteration (s): 0.23 | learning rate: 1.005E-04 | global batch size: 256 | lm loss: 2.912687E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.920 | TFLOPs: 28.45 | 7: iteration 20410/ 37905 | consumed samples: 5224960 | consumed tokens: 10700718080 | elapsed time per iteration (s): 0.23 | learning rate: 1.005E-04 | global batch size: 256 | lm loss: 2.870099E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.238 | TFLOPs: 28.46 | 7: iteration 20420/ 37905 | consumed samples: 5227520 | consumed tokens: 10705960960 | elapsed time per iteration (s): 0.23 | learning rate: 1.004E-04 | global batch size: 256 | lm loss: 2.903346E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.624 | TFLOPs: 28.04 | 7: iteration 20430/ 37905 | consumed samples: 5230080 | consumed tokens: 10711203840 | elapsed time per iteration (s): 0.23 | learning rate: 1.003E-04 | global batch size: 256 | lm loss: 2.891764E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.606 | TFLOPs: 28.22 | 7: iteration 20440/ 37905 | consumed samples: 5232640 | consumed tokens: 10716446720 | elapsed time per iteration (s): 0.23 | learning rate: 1.002E-04 | global batch size: 256 | lm loss: 2.889314E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.363 | TFLOPs: 28.01 | 7: iteration 20450/ 37905 | consumed samples: 5235200 | consumed tokens: 10721689600 | elapsed time per iteration (s): 0.23 | learning rate: 1.002E-04 | global batch size: 256 | lm loss: 2.881556E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.941 | TFLOPs: 27.82 | 7: iteration 20460/ 37905 | consumed samples: 5237760 | consumed tokens: 10726932480 | elapsed time per iteration (s): 0.23 | learning rate: 1.001E-04 | global batch size: 256 | lm loss: 2.880203E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.528 | TFLOPs: 27.88 | 7: iteration 20470/ 37905 | consumed samples: 5240320 | consumed tokens: 10732175360 | elapsed time per iteration 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tokens: 10747904000 | elapsed time per iteration (s): 0.23 | learning rate: 9.979E-05 | global batch size: 256 | lm loss: 2.896477E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.703 | TFLOPs: 28.58 | 7: iteration 20510/ 37905 | consumed samples: 5250560 | consumed tokens: 10753146880 | elapsed time per iteration (s): 0.23 | learning rate: 9.972E-05 | global batch size: 256 | lm loss: 2.883036E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.732 | TFLOPs: 28.42 | 7: iteration 20520/ 37905 | consumed samples: 5253120 | consumed tokens: 10758389760 | elapsed time per iteration (s): 0.23 | learning rate: 9.964E-05 | global batch size: 256 | lm loss: 2.938968E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.482 | TFLOPs: 28.19 | 7: iteration 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second: 1106.777 | TFLOPs: 28.20 | 7: iteration 20560/ 37905 | consumed samples: 5263360 | consumed tokens: 10779361280 | elapsed time per iteration (s): 0.23 | learning rate: 9.934E-05 | global batch size: 256 | lm loss: 2.886730E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.583 | TFLOPs: 28.57 | 7: iteration 20570/ 37905 | consumed samples: 5265920 | consumed tokens: 10784604160 | elapsed time per iteration (s): 0.23 | learning rate: 9.927E-05 | global batch size: 256 | lm loss: 2.875266E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.694 | TFLOPs: 28.14 | 7: iteration 20580/ 37905 | consumed samples: 5268480 | consumed tokens: 10789847040 | elapsed time per iteration (s): 0.23 | learning rate: 9.919E-05 | global batch size: 256 | lm loss: 2.851665E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.626 | TFLOPs: 27.81 | 7: iteration 20590/ 37905 | consumed samples: 5271040 | consumed tokens: 10795089920 | elapsed time per iteration (s): 0.23 | learning rate: 9.912E-05 | global batch size: 256 | lm loss: 2.891825E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.768 | TFLOPs: 28.55 | 7: iteration 20600/ 37905 | consumed samples: 5273600 | consumed tokens: 10800332800 | elapsed time per iteration (s): 0.23 | learning rate: 9.904E-05 | global batch size: 256 | lm loss: 2.859583E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.893 | TFLOPs: 28.61 | 7: iteration 20610/ 37905 | consumed samples: 5276160 | consumed tokens: 10805575680 | elapsed time per iteration (s): 0.23 | learning rate: 9.897E-05 | global batch size: 256 | lm loss: 2.870228E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.908 | TFLOPs: 28.25 | 7: iteration 20620/ 37905 | consumed samples: 5278720 | consumed tokens: 10810818560 | elapsed time per iteration (s): 0.23 | learning rate: 9.889E-05 | global batch size: 256 | lm loss: 2.860643E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.417 | TFLOPs: 28.54 | 7: iteration 20630/ 37905 | consumed samples: 5281280 | consumed tokens: 10816061440 | elapsed time per iteration (s): 0.23 | learning rate: 9.882E-05 | global batch size: 256 | lm loss: 2.913655E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.747 | TFLOPs: 28.58 | 7: iteration 20640/ 37905 | consumed samples: 5283840 | consumed tokens: 10821304320 | elapsed time per iteration (s): 0.23 | learning rate: 9.874E-05 | global batch size: 256 | lm loss: 2.895187E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.286 | TFLOPs: 28.16 | 7: iteration 20650/ 37905 | consumed samples: 5286400 | consumed tokens: 10826547200 | elapsed time per iteration (s): 0.23 | learning rate: 9.867E-05 | global batch size: 256 | lm loss: 2.883645E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.990 | TFLOPs: 28.58 | 7: iteration 20660/ 37905 | consumed samples: 5288960 | consumed tokens: 10831790080 | elapsed time per iteration (s): 0.23 | learning rate: 9.859E-05 | global batch size: 256 | lm loss: 2.916233E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.905 | TFLOPs: 28.56 | 7: iteration 20670/ 37905 | consumed samples: 5291520 | consumed tokens: 10837032960 | elapsed time per iteration (s): 0.23 | learning rate: 9.852E-05 | global batch size: 256 | lm loss: 2.890143E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.817 | TFLOPs: 28.45 | 7: iteration 20680/ 37905 | consumed samples: 5294080 | consumed tokens: 10842275840 | elapsed time per iteration (s): 0.23 | learning rate: 9.844E-05 | global batch size: 256 | lm loss: 2.866026E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.006 | TFLOPs: 28.18 | 7: iteration 20690/ 37905 | consumed samples: 5296640 | consumed tokens: 10847518720 | elapsed time per iteration (s): 0.23 | learning rate: 9.837E-05 | global batch size: 256 | lm loss: 2.882616E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.542 | TFLOPs: 28.42 | 7: iteration 20700/ 37905 | consumed samples: 5299200 | consumed tokens: 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| consumed samples: 5358080 | consumed tokens: 10973347840 | elapsed time per iteration (s): 0.23 | learning rate: 9.658E-05 | global batch size: 256 | lm loss: 2.881962E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.204 | TFLOPs: 28.26 | 7: iteration 20940/ 37905 | consumed samples: 5360640 | consumed tokens: 10978590720 | elapsed time per iteration (s): 0.23 | learning rate: 9.650E-05 | global batch size: 256 | lm loss: 2.848845E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.398 | TFLOPs: 27.88 | 7: iteration 20950/ 37905 | consumed samples: 5363200 | consumed tokens: 10983833600 | elapsed time per iteration (s): 0.23 | learning rate: 9.643E-05 | global batch size: 256 | lm loss: 2.874402E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.089 | TFLOPs: 28.48 | 7: iteration 20960/ 37905 | consumed samples: 5365760 | consumed tokens: 10989076480 | elapsed time per iteration (s): 0.23 | learning rate: 9.636E-05 | global batch size: 256 | lm loss: 2.876496E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.841 | TFLOPs: 28.25 | 7: iteration 20970/ 37905 | consumed samples: 5368320 | consumed tokens: 10994319360 | elapsed time per iteration (s): 0.23 | learning rate: 9.628E-05 | global batch size: 256 | lm loss: 2.867793E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.513 | TFLOPs: 28.14 | 7: iteration 20980/ 37905 | consumed samples: 5370880 | consumed tokens: 10999562240 | elapsed time per iteration (s): 0.23 | learning rate: 9.621E-05 | global batch size: 256 | lm loss: 2.854654E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.692 | TFLOPs: 28.19 | 7: iteration 20990/ 37905 | consumed samples: 5373440 | consumed tokens: 11004805120 | elapsed time per iteration (s): 0.23 | learning rate: 9.613E-05 | global batch size: 256 | lm loss: 2.887054E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.406 | TFLOPs: 28.59 | 7: iteration 21000/ 37905 | consumed samples: 5376000 | consumed tokens: 11010048000 | elapsed time per iteration (s): 0.23 | learning rate: 9.606E-05 | global batch size: 256 | lm loss: 2.892739E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.902 | TFLOPs: 28.50 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 21000 | lm loss value: 2.790864E+00 | lm loss PPL: 1.629510E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 21000 to checkpoints_83mwarmup 0: [2022-11-24 18:49:42,787] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step21000 is begin to save! 0: [2022-11-24 18:49:42,791] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step21000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:49:42,863] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step21000/layer_01-model_00-model_states.pt. 0: [2022-11-24 18:49:42,863] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step21000/layer_03-model_00-model_states.pt... 0: [2022-11-24 18:49:42,875] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step21000/layer_03-model_00-model_states.pt. 0: [2022-11-24 18:49:42,875] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 3: [2022-11-24 18:49:43,024] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-24 18:49:43,024] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 5: [2022-11-24 18:49:43,025] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 3: [2022-11-24 18:49:43,025] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 5: [2022-11-24 18:49:43,025] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 7: [2022-11-24 18:49:43,025] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 3: [2022-11-24 18:49:43,025] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 5: [2022-11-24 18:49:43,025] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 3: [2022-11-24 18:49:43,025] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 7: [2022-11-24 18:49:43,025] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-24 18:49:43,025] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 1: [2022-11-24 18:49:43,025] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-24 18:49:43,025] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-24 18:49:43,025] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-24 18:49:43,025] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 1: [2022-11-24 18:49:43,025] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-24 18:49:43,025] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 6: [2022-11-24 18:49:43,027] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-24 18:49:43,027] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step21000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-24 18:49:43,027] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 0: successfully saved checkpoint at iteration 21000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 242.81 7: iteration 21010/ 37905 | consumed samples: 5378560 | consumed tokens: 11015290880 | elapsed time per iteration (s): 0.26 | learning rate: 9.598E-05 | global batch size: 256 | lm loss: 2.911403E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 978.978 | TFLOPs: 24.94 | 7: iteration 21020/ 37905 | consumed samples: 5381120 | consumed tokens: 11020533760 | elapsed time per iteration (s): 0.25 | learning rate: 9.591E-05 | global batch size: 256 | lm loss: 2.899855E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1018.958 | TFLOPs: 25.96 | 7: iteration 21030/ 37905 | consumed samples: 5383680 | consumed tokens: 11025776640 | elapsed time per iteration (s): 0.23 | learning rate: 9.583E-05 | global batch size: 256 | lm loss: 2.916365E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.915 | TFLOPs: 28.48 | 7: iteration 21040/ 37905 | consumed samples: 5386240 | consumed tokens: 11031019520 | elapsed time per iteration (s): 0.23 | learning rate: 9.576E-05 | global batch size: 256 | lm loss: 2.867669E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.270 | TFLOPs: 28.26 | 7: iteration 21050/ 37905 | consumed samples: 5388800 | consumed tokens: 11036262400 | elapsed time per iteration (s): 0.23 | learning rate: 9.569E-05 | global batch size: 256 | lm loss: 2.887221E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.470 | TFLOPs: 28.31 | 7: iteration 21060/ 37905 | consumed samples: 5391360 | consumed tokens: 11041505280 | elapsed time per iteration (s): 0.23 | learning rate: 9.561E-05 | global batch size: 256 | lm loss: 2.914654E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.380 | TFLOPs: 28.49 | 7: iteration 21070/ 37905 | consumed samples: 5393920 | consumed tokens: 11046748160 | elapsed time per iteration (s): 0.23 | learning rate: 9.554E-05 | global batch size: 256 | lm loss: 2.866006E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.596 | TFLOPs: 28.06 | 7: iteration 21080/ 37905 | consumed 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TFLOPs: 28.53 | 7: iteration 21110/ 37905 | consumed samples: 5404160 | consumed tokens: 11067719680 | elapsed time per iteration (s): 0.23 | learning rate: 9.524E-05 | global batch size: 256 | lm loss: 2.906275E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.817 | TFLOPs: 28.50 | 7: iteration 21120/ 37905 | consumed samples: 5406720 | consumed tokens: 11072962560 | elapsed time per iteration (s): 0.23 | learning rate: 9.517E-05 | global batch size: 256 | lm loss: 2.905836E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.344 | TFLOPs: 28.16 | 7: iteration 21130/ 37905 | consumed samples: 5409280 | consumed tokens: 11078205440 | elapsed time per iteration (s): 0.23 | learning rate: 9.509E-05 | global batch size: 256 | lm loss: 2.865597E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.702 | TFLOPs: 28.52 | 7: iteration 21140/ 37905 | consumed samples: 5411840 | consumed tokens: 11083448320 | elapsed time per iteration (s): 0.23 | learning rate: 9.502E-05 | global batch size: 256 | lm loss: 2.881905E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.376 | TFLOPs: 28.16 | 7: iteration 21150/ 37905 | consumed samples: 5414400 | consumed tokens: 11088691200 | elapsed time per iteration (s): 0.23 | learning rate: 9.494E-05 | global batch size: 256 | lm loss: 2.904066E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.530 | TFLOPs: 28.37 | 7: iteration 21160/ 37905 | consumed samples: 5416960 | consumed tokens: 11093934080 | elapsed time per iteration (s): 0.23 | learning rate: 9.487E-05 | global batch size: 256 | lm loss: 2.886979E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.937 | TFLOPs: 28.56 | 7: iteration 21170/ 37905 | consumed samples: 5419520 | consumed tokens: 11099176960 | elapsed time per iteration (s): 0.23 | learning rate: 9.479E-05 | global batch size: 256 | lm loss: 2.866481E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.101 | TFLOPs: 28.28 | 7: iteration 21180/ 37905 | consumed samples: 5422080 | consumed tokens: 11104419840 | elapsed time per iteration (s): 0.23 | learning rate: 9.472E-05 | global batch size: 256 | lm loss: 2.862933E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.714 | TFLOPs: 28.52 | 7: iteration 21190/ 37905 | consumed samples: 5424640 | consumed tokens: 11109662720 | elapsed time per iteration (s): 0.23 | learning rate: 9.465E-05 | global batch size: 256 | lm loss: 2.884226E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.117 | TFLOPs: 28.56 | 7: iteration 21200/ 37905 | consumed samples: 5427200 | consumed tokens: 11114905600 | elapsed time per iteration (s): 0.23 | learning rate: 9.457E-05 | global batch size: 256 | lm loss: 2.871907E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.010 | TFLOPs: 28.25 | 7: iteration 21210/ 37905 | consumed samples: 5429760 | consumed tokens: 11120148480 | elapsed time per iteration (s): 0.23 | learning rate: 9.450E-05 | global batch size: 256 | lm loss: 2.855024E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.225 | TFLOPs: 28.05 | 7: iteration 21220/ 37905 | consumed samples: 5432320 | consumed tokens: 11125391360 | elapsed time per iteration (s): 0.23 | learning rate: 9.442E-05 | global batch size: 256 | lm loss: 2.877952E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.090 | TFLOPs: 28.53 | 7: iteration 21230/ 37905 | consumed samples: 5434880 | consumed tokens: 11130634240 | elapsed time per iteration (s): 0.23 | learning rate: 9.435E-05 | global batch size: 256 | lm loss: 2.861461E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.600 | TFLOPs: 28.11 | 7: iteration 21240/ 37905 | consumed samples: 5437440 | consumed tokens: 11135877120 | elapsed time per iteration (s): 0.23 | learning rate: 9.427E-05 | global batch size: 256 | lm loss: 2.842335E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.611 | TFLOPs: 28.60 | 7: iteration 21250/ 37905 | consumed samples: 5440000 | consumed tokens: 11141120000 | elapsed time per iteration (s): 0.23 | learning rate: 9.420E-05 | global batch size: 256 | lm loss: 2.923092E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.145 | TFLOPs: 28.18 | 7: iteration 21260/ 37905 | consumed samples: 5442560 | consumed tokens: 11146362880 | elapsed time per iteration (s): 0.23 | learning rate: 9.413E-05 | global batch size: 256 | lm loss: 2.889898E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.410 | TFLOPs: 28.11 | 7: iteration 21270/ 37905 | consumed samples: 5445120 | consumed tokens: 11151605760 | elapsed time per iteration (s): 0.23 | learning rate: 9.405E-05 | global batch size: 256 | lm loss: 2.857360E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.217 | TFLOPs: 28.46 | 7: iteration 21280/ 37905 | consumed samples: 5447680 | consumed tokens: 11156848640 | elapsed time per iteration (s): 0.23 | learning rate: 9.398E-05 | global batch size: 256 | lm loss: 2.877785E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.012 | TFLOPs: 28.15 | 7: iteration 21290/ 37905 | consumed samples: 5450240 | consumed tokens: 11162091520 | elapsed time per iteration (s): 0.23 | learning rate: 9.390E-05 | global batch size: 256 | lm loss: 2.932721E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.167 | TFLOPs: 28.43 | 7: iteration 21300/ 37905 | consumed samples: 5452800 | consumed tokens: 11167334400 | elapsed time per iteration (s): 0.23 | learning rate: 9.383E-05 | global batch size: 256 | lm loss: 2.877711E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.757 | TFLOPs: 28.42 | 7: iteration 21310/ 37905 | consumed samples: 5455360 | consumed tokens: 11172577280 | elapsed time per iteration (s): 0.23 | learning rate: 9.376E-05 | global batch size: 256 | lm loss: 2.864520E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.427 | TFLOPs: 28.36 | 7: iteration 21320/ 37905 | consumed samples: 5457920 | consumed tokens: 11177820160 | elapsed time per iteration (s): 0.24 | learning rate: 9.368E-05 | global batch size: 256 | lm loss: 2.892767E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.255 | TFLOPs: 27.60 | 7: iteration 21330/ 37905 | consumed samples: 5460480 | consumed tokens: 11183063040 | elapsed time per iteration (s): 0.25 | learning rate: 9.361E-05 | global batch size: 256 | lm loss: 2.862145E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1028.980 | TFLOPs: 26.21 | 7: iteration 21340/ 37905 | consumed samples: 5463040 | consumed tokens: 11188305920 | elapsed time per iteration (s): 0.23 | learning rate: 9.353E-05 | global batch size: 256 | lm loss: 2.876250E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.874 | TFLOPs: 28.40 | 7: iteration 21350/ 37905 | consumed samples: 5465600 | consumed tokens: 11193548800 | elapsed time per iteration (s): 0.23 | learning rate: 9.346E-05 | global batch size: 256 | lm loss: 2.903107E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.745 | TFLOPs: 28.25 | 7: iteration 21360/ 37905 | consumed samples: 5468160 | consumed tokens: 11198791680 | elapsed time per iteration (s): 0.23 | learning rate: 9.338E-05 | global batch size: 256 | lm loss: 2.905510E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped 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norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.087 | TFLOPs: 28.05 | 7: iteration 21400/ 37905 | consumed samples: 5478400 | consumed tokens: 11219763200 | elapsed time per iteration (s): 0.23 | learning rate: 9.309E-05 | global batch size: 256 | lm loss: 2.881285E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.520 | TFLOPs: 27.96 | 7: iteration 21410/ 37905 | consumed samples: 5480960 | consumed tokens: 11225006080 | elapsed time per iteration (s): 0.23 | learning rate: 9.301E-05 | global batch size: 256 | lm loss: 2.906675E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.635 | TFLOPs: 28.24 | 7: iteration 21420/ 37905 | consumed samples: 5483520 | consumed tokens: 11230248960 | elapsed time per iteration (s): 0.23 | learning rate: 9.294E-05 | global 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(s): 0.24 | learning rate: 9.272E-05 | global batch size: 256 | lm loss: 2.892693E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1053.113 | TFLOPs: 26.83 | 7: iteration 21460/ 37905 | consumed samples: 5493760 | consumed tokens: 11251220480 | elapsed time per iteration (s): 0.23 | learning rate: 9.264E-05 | global batch size: 256 | lm loss: 2.865441E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.508 | TFLOPs: 28.16 | 7: iteration 21470/ 37905 | consumed samples: 5496320 | consumed tokens: 11256463360 | elapsed time per iteration (s): 0.24 | learning rate: 9.257E-05 | global batch size: 256 | lm loss: 2.867217E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.542 | TFLOPs: 27.40 | 7: iteration 21480/ 37905 | consumed samples: 5498880 | consumed 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256 | lm loss: 2.896738E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.822 | TFLOPs: 28.43 | 7: iteration 21630/ 37905 | consumed samples: 5537280 | consumed tokens: 11340349440 | elapsed time per iteration (s): 0.23 | learning rate: 9.139E-05 | global batch size: 256 | lm loss: 2.909632E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.631 | TFLOPs: 28.24 | 7: iteration 21640/ 37905 | consumed samples: 5539840 | consumed tokens: 11345592320 | elapsed time per iteration (s): 0.23 | learning rate: 9.132E-05 | global batch size: 256 | lm loss: 2.900420E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.156 | TFLOPs: 28.61 | 7: iteration 21650/ 37905 | consumed samples: 5542400 | consumed tokens: 11350835200 | elapsed time per iteration (s): 0.23 | 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| consumed samples: 5557760 | consumed tokens: 11382292480 | elapsed time per iteration (s): 0.23 | learning rate: 9.080E-05 | global batch size: 256 | lm loss: 2.866534E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.703 | TFLOPs: 28.19 | 7: iteration 21720/ 37905 | consumed samples: 5560320 | consumed tokens: 11387535360 | elapsed time per iteration (s): 0.23 | learning rate: 9.073E-05 | global batch size: 256 | lm loss: 2.873075E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.491 | TFLOPs: 28.57 | 7: iteration 21730/ 37905 | consumed samples: 5562880 | consumed tokens: 11392778240 | elapsed time per iteration (s): 0.24 | learning rate: 9.065E-05 | global batch size: 256 | lm loss: 2.859920E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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learning rate: 8.977E-05 | global batch size: 256 | lm loss: 2.906302E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.546 | TFLOPs: 28.55 | 7: iteration 21860/ 37905 | consumed samples: 5596160 | consumed tokens: 11460935680 | elapsed time per iteration (s): 0.23 | learning rate: 8.970E-05 | global batch size: 256 | lm loss: 2.906878E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.343 | TFLOPs: 28.29 | 7: iteration 21870/ 37905 | consumed samples: 5598720 | consumed tokens: 11466178560 | elapsed time per iteration (s): 0.23 | learning rate: 8.962E-05 | global batch size: 256 | lm loss: 2.903543E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.704 | TFLOPs: 28.42 | 7: iteration 21880/ 37905 | consumed samples: 5601280 | consumed tokens: 11471421440 | elapsed time per iteration (s): 0.23 | learning rate: 8.955E-05 | global batch size: 256 | lm loss: 2.862212E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.661 | TFLOPs: 28.65 | 7: iteration 21890/ 37905 | consumed samples: 5603840 | consumed tokens: 11476664320 | elapsed time per iteration (s): 0.23 | learning rate: 8.948E-05 | global batch size: 256 | lm loss: 2.855275E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.067 | TFLOPs: 28.64 | 7: iteration 21900/ 37905 | consumed samples: 5606400 | consumed tokens: 11481907200 | elapsed time per iteration (s): 0.23 | learning rate: 8.940E-05 | global batch size: 256 | lm loss: 2.902164E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.245 | TFLOPs: 28.51 | 7: iteration 21910/ 37905 | consumed samples: 5608960 | consumed tokens: 11487150080 | elapsed time per iteration (s): 0.23 | learning rate: 8.933E-05 | global batch size: 256 | lm loss: 2.889693E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.829 | TFLOPs: 28.48 | 7: iteration 21920/ 37905 | consumed samples: 5611520 | consumed tokens: 11492392960 | elapsed time per iteration (s): 0.23 | learning rate: 8.926E-05 | global batch size: 256 | lm loss: 2.856044E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.032 | TFLOPs: 28.35 | 7: iteration 21930/ 37905 | consumed samples: 5614080 | consumed tokens: 11497635840 | elapsed time per iteration (s): 0.23 | learning rate: 8.918E-05 | global batch size: 256 | lm loss: 2.857882E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.536 | TFLOPs: 27.99 | 7: iteration 21940/ 37905 | consumed samples: 5616640 | consumed tokens: 11502878720 | elapsed time per iteration (s): 0.23 | learning rate: 8.911E-05 | global batch size: 256 | lm loss: 2.909214E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.557 | TFLOPs: 28.32 | 7: iteration 21950/ 37905 | consumed samples: 5619200 | consumed tokens: 11508121600 | elapsed time per iteration (s): 0.23 | learning rate: 8.904E-05 | global batch size: 256 | lm loss: 2.910704E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.211 | TFLOPs: 28.59 | 7: iteration 21960/ 37905 | consumed samples: 5621760 | consumed tokens: 11513364480 | elapsed time per iteration (s): 0.23 | learning rate: 8.896E-05 | global batch size: 256 | lm loss: 2.898851E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.565 | TFLOPs: 28.52 | 7: iteration 21970/ 37905 | consumed samples: 5624320 | consumed tokens: 11518607360 | elapsed time per iteration (s): 0.23 | learning rate: 8.889E-05 | global batch size: 256 | lm loss: 2.889963E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.403 | TFLOPs: 28.47 | 7: iteration 21980/ 37905 | consumed samples: 5626880 | consumed tokens: 11523850240 | elapsed time per iteration (s): 0.23 | learning rate: 8.882E-05 | global batch size: 256 | lm loss: 2.867735E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.995 | TFLOPs: 28.18 | 7: iteration 21990/ 37905 | consumed samples: 5629440 | consumed tokens: 11529093120 | elapsed time per iteration (s): 0.23 | learning rate: 8.874E-05 | global batch size: 256 | lm loss: 2.916410E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.022 | TFLOPs: 28.48 | 0: [2022-11-24 18:53:34,388] [INFO] [logging.py:68:log_dist] [Rank 0] step=22000, skipped=0, lr=[8.86714956590028e-05, 8.86714956590028e-05, 8.86714956590028e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 22000/ 37905 | consumed samples: 5632000 | consumed tokens: 11534336000 | elapsed time per iteration (s): 0.23 | learning rate: 8.867E-05 | global batch size: 256 | lm loss: 2.864397E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.654 | TFLOPs: 28.09 | 0: steps: 22000 loss: 2.8489 iter time (s): 0.231 samples/sec: 1110.558 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 22000 | lm loss value: 2.755932E+00 | lm loss PPL: 1.573570E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 22000 to checkpoints_83mwarmup 0: [2022-11-24 18:53:34,504] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step22000 is begin to save! 0: [2022-11-24 18:53:34,507] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step22000/layer_01-model_00-model_states.pt... 0: [2022-11-24 18:53:34,578] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step22000/layer_01-model_00-model_states.pt. 0: [2022-11-24 18:53:34,579] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step22000/layer_03-model_00-model_states.pt... 0: [2022-11-24 18:53:34,591] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step22000/layer_03-model_00-model_states.pt. 0: [2022-11-24 18:53:34,591] [INFO] 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rate: 8.853E-05 | global batch size: 256 | lm loss: 2.876818E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.030 | TFLOPs: 28.02 | 7: iteration 22030/ 37905 | consumed samples: 5639680 | consumed tokens: 11550064640 | elapsed time per iteration (s): 0.24 | learning rate: 8.845E-05 | global batch size: 256 | lm loss: 2.885332E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.505 | TFLOPs: 27.40 | 7: iteration 22040/ 37905 | consumed samples: 5642240 | consumed tokens: 11555307520 | elapsed time per iteration (s): 0.23 | learning rate: 8.838E-05 | global batch size: 256 | lm loss: 2.838119E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.084 | TFLOPs: 28.66 | 7: iteration 22050/ 37905 | consumed samples: 5644800 | consumed tokens: 11560550400 | elapsed time per iteration (s): 0.23 | learning rate: 8.831E-05 | global batch size: 256 | lm loss: 2.865952E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.699 | TFLOPs: 28.35 | 7: iteration 22060/ 37905 | consumed samples: 5647360 | consumed tokens: 11565793280 | elapsed time per iteration (s): 0.23 | learning rate: 8.823E-05 | global batch size: 256 | lm loss: 2.877129E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.704 | TFLOPs: 28.02 | 7: iteration 22070/ 37905 | consumed samples: 5649920 | consumed tokens: 11571036160 | elapsed time per iteration (s): 0.23 | learning rate: 8.816E-05 | global batch size: 256 | lm loss: 2.856536E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.476 | TFLOPs: 27.98 | 7: iteration 22080/ 37905 | consumed 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time per iteration (s): 0.23 | learning rate: 8.685E-05 | global batch size: 256 | lm loss: 2.835595E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.335 | TFLOPs: 28.21 | 7: iteration 22260/ 37905 | consumed samples: 5698560 | consumed tokens: 11670650880 | elapsed time per iteration (s): 0.23 | learning rate: 8.677E-05 | global batch size: 256 | lm loss: 2.883443E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.073 | TFLOPs: 28.66 | 7: iteration 22270/ 37905 | consumed samples: 5701120 | consumed tokens: 11675893760 | elapsed time per iteration (s): 0.23 | learning rate: 8.670E-05 | global batch size: 256 | lm loss: 2.904882E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.082 | TFLOPs: 28.10 | 7: iteration 22280/ 37905 | consumed samples: 5703680 | consumed tokens: 11681136640 | elapsed time per iteration (s): 0.23 | learning rate: 8.663E-05 | global batch size: 256 | lm loss: 2.896763E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.467 | TFLOPs: 28.31 | 7: iteration 22290/ 37905 | consumed samples: 5706240 | consumed tokens: 11686379520 | elapsed time per iteration (s): 0.23 | learning rate: 8.656E-05 | global batch size: 256 | lm loss: 2.933026E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.556 | TFLOPs: 28.32 | 7: iteration 22300/ 37905 | consumed samples: 5708800 | consumed tokens: 11691622400 | elapsed time per iteration (s): 0.23 | learning rate: 8.648E-05 | global batch size: 256 | lm loss: 2.861958E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.621 | TFLOPs: 28.29 | 7: iteration 22310/ 37905 | consumed samples: 5711360 | consumed tokens: 11696865280 | elapsed time per iteration (s): 0.23 | learning rate: 8.641E-05 | global batch size: 256 | lm loss: 2.876275E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.817 | TFLOPs: 28.60 | 7: iteration 22320/ 37905 | consumed samples: 5713920 | consumed tokens: 11702108160 | elapsed time per iteration (s): 0.23 | learning rate: 8.634E-05 | global batch size: 256 | lm loss: 2.852905E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.143 | TFLOPs: 28.36 | 7: iteration 22330/ 37905 | consumed samples: 5716480 | consumed tokens: 11707351040 | elapsed time per iteration (s): 0.23 | learning rate: 8.626E-05 | global batch size: 256 | lm loss: 2.881587E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.841 | TFLOPs: 28.63 | 7: iteration 22340/ 37905 | consumed samples: 5719040 | consumed tokens: 11712593920 | elapsed time per iteration (s): 0.23 | learning rate: 8.619E-05 | global batch size: 256 | lm loss: 2.858290E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.558 | TFLOPs: 28.44 | 7: iteration 22350/ 37905 | consumed samples: 5721600 | consumed tokens: 11717836800 | elapsed time per iteration (s): 0.23 | learning rate: 8.612E-05 | global batch size: 256 | lm loss: 2.829792E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.680 | TFLOPs: 27.91 | 7: iteration 22360/ 37905 | consumed samples: 5724160 | consumed tokens: 11723079680 | elapsed time per iteration (s): 0.23 | learning rate: 8.605E-05 | global batch size: 256 | lm loss: 2.881711E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped 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norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.483 | TFLOPs: 27.65 | 7: iteration 22400/ 37905 | consumed samples: 5734400 | consumed tokens: 11744051200 | elapsed time per iteration (s): 0.24 | learning rate: 8.576E-05 | global batch size: 256 | lm loss: 2.863960E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.047 | TFLOPs: 27.54 | 7: iteration 22410/ 37905 | consumed samples: 5736960 | consumed tokens: 11749294080 | elapsed time per iteration (s): 0.23 | learning rate: 8.568E-05 | global batch size: 256 | lm loss: 2.864294E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.947 | TFLOPs: 28.05 | 7: iteration 22420/ 37905 | consumed samples: 5739520 | consumed tokens: 11754536960 | elapsed time per iteration (s): 0.24 | learning rate: 8.561E-05 | global batch size: 256 | lm loss: 2.844698E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.225 | TFLOPs: 27.72 | 7: iteration 22430/ 37905 | consumed samples: 5742080 | consumed tokens: 11759779840 | elapsed time per iteration (s): 0.23 | learning rate: 8.554E-05 | global batch size: 256 | lm loss: 2.838988E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.260 | TFLOPs: 28.51 | 7: iteration 22440/ 37905 | consumed samples: 5744640 | consumed tokens: 11765022720 | elapsed time per iteration (s): 0.24 | learning rate: 8.547E-05 | global batch size: 256 | lm loss: 2.874064E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.024 | TFLOPs: 27.56 | 7: iteration 22450/ 37905 | consumed samples: 5747200 | consumed tokens: 11770265600 | elapsed time per iteration 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second: 1117.387 | TFLOPs: 28.47 | 7: iteration 22540/ 37905 | consumed samples: 5770240 | consumed tokens: 11817451520 | elapsed time per iteration (s): 0.23 | learning rate: 8.474E-05 | global batch size: 256 | lm loss: 2.876679E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.615 | TFLOPs: 28.62 | 7: iteration 22550/ 37905 | consumed samples: 5772800 | consumed tokens: 11822694400 | elapsed time per iteration (s): 0.23 | learning rate: 8.467E-05 | global batch size: 256 | lm loss: 2.909112E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.843 | TFLOPs: 28.58 | 7: iteration 22560/ 37905 | consumed samples: 5775360 | consumed tokens: 11827937280 | elapsed time per iteration (s): 0.23 | learning rate: 8.460E-05 | global batch size: 256 | lm loss: 2.864115E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.738 | TFLOPs: 28.58 | 7: iteration 22570/ 37905 | consumed samples: 5777920 | consumed tokens: 11833180160 | elapsed time per iteration (s): 0.23 | learning rate: 8.452E-05 | global batch size: 256 | lm loss: 2.866589E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.101 | TFLOPs: 28.51 | 7: iteration 22580/ 37905 | consumed samples: 5780480 | consumed tokens: 11838423040 | elapsed time per iteration (s): 0.23 | learning rate: 8.445E-05 | global batch size: 256 | lm loss: 2.850213E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.954 | TFLOPs: 28.56 | 7: iteration 22590/ 37905 | consumed samples: 5783040 | consumed tokens: 11843665920 | elapsed time per iteration (s): 0.23 | learning rate: 8.438E-05 | global batch size: 256 | lm loss: 2.872166E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.397 | TFLOPs: 28.39 | 7: iteration 22600/ 37905 | consumed samples: 5785600 | consumed tokens: 11848908800 | elapsed time per iteration (s): 0.23 | learning rate: 8.431E-05 | global batch size: 256 | lm loss: 2.876380E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.710 | TFLOPs: 28.30 | 7: iteration 22610/ 37905 | consumed samples: 5788160 | consumed tokens: 11854151680 | elapsed time per iteration (s): 0.23 | learning rate: 8.424E-05 | global batch size: 256 | lm loss: 2.858790E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.101 | TFLOPs: 28.61 | 7: iteration 22620/ 37905 | consumed samples: 5790720 | consumed tokens: 11859394560 | elapsed time per iteration (s): 0.23 | learning rate: 8.416E-05 | global batch size: 256 | lm loss: 2.867451E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.617 | TFLOPs: 28.57 | 7: iteration 22630/ 37905 | consumed samples: 5793280 | consumed tokens: 11864637440 | elapsed time per iteration (s): 0.23 | learning rate: 8.409E-05 | global batch size: 256 | lm loss: 2.901195E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.091 | TFLOPs: 27.97 | 7: iteration 22640/ 37905 | consumed samples: 5795840 | consumed tokens: 11869880320 | elapsed time per iteration (s): 0.23 | learning rate: 8.402E-05 | global batch size: 256 | lm loss: 2.857026E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.613 | TFLOPs: 28.37 | 7: iteration 22650/ 37905 | consumed samples: 5798400 | consumed tokens: 11875123200 | elapsed time per iteration (s): 0.23 | learning rate: 8.395E-05 | global batch size: 256 | lm loss: 2.875652E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.399 | TFLOPs: 27.93 | 7: iteration 22660/ 37905 | consumed samples: 5800960 | consumed tokens: 11880366080 | elapsed time per iteration (s): 0.23 | learning rate: 8.388E-05 | global batch size: 256 | lm loss: 2.868960E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.096 | TFLOPs: 28.48 | 7: iteration 22670/ 37905 | consumed samples: 5803520 | consumed tokens: 11885608960 | elapsed time per iteration (s): 0.25 | learning rate: 8.380E-05 | global batch size: 256 | lm loss: 2.859311E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1011.751 | TFLOPs: 25.77 | 7: iteration 22680/ 37905 | consumed samples: 5806080 | consumed tokens: 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| consumed samples: 5813760 | consumed tokens: 11906580480 | elapsed time per iteration (s): 0.23 | learning rate: 8.352E-05 | global batch size: 256 | lm loss: 2.905179E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.003 | TFLOPs: 28.15 | 7: iteration 22720/ 37905 | consumed samples: 5816320 | consumed tokens: 11911823360 | elapsed time per iteration (s): 0.23 | learning rate: 8.344E-05 | global batch size: 256 | lm loss: 2.855678E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.178 | TFLOPs: 28.05 | 7: iteration 22730/ 37905 | consumed samples: 5818880 | consumed tokens: 11917066240 | elapsed time per iteration (s): 0.23 | learning rate: 8.337E-05 | global batch size: 256 | lm loss: 2.848705E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.808 | TFLOPs: 28.40 | 7: iteration 22740/ 37905 | consumed samples: 5821440 | consumed tokens: 11922309120 | elapsed time per iteration (s): 0.23 | learning rate: 8.330E-05 | global batch size: 256 | lm loss: 2.854919E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.616 | TFLOPs: 28.37 | 7: iteration 22750/ 37905 | consumed samples: 5824000 | consumed tokens: 11927552000 | elapsed time per iteration (s): 0.23 | learning rate: 8.323E-05 | global batch size: 256 | lm loss: 2.840234E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.772 | TFLOPs: 28.27 | 7: iteration 22760/ 37905 | consumed samples: 5826560 | consumed tokens: 11932794880 | elapsed time per iteration (s): 0.23 | learning rate: 8.316E-05 | global batch size: 256 | lm loss: 2.913382E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.235 | TFLOPs: 28.49 | 7: iteration 22770/ 37905 | consumed samples: 5829120 | consumed tokens: 11938037760 | elapsed time per iteration (s): 0.23 | learning rate: 8.308E-05 | global batch size: 256 | lm loss: 2.880799E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.240 | TFLOPs: 28.46 | 7: iteration 22780/ 37905 | consumed samples: 5831680 | consumed tokens: 11943280640 | elapsed time per iteration (s): 0.24 | learning rate: 8.301E-05 | global batch size: 256 | lm loss: 2.888560E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1059.464 | TFLOPs: 26.99 | 7: iteration 22790/ 37905 | consumed samples: 5834240 | consumed tokens: 11948523520 | elapsed time per iteration (s): 0.23 | learning rate: 8.294E-05 | global batch size: 256 | lm loss: 2.899377E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.583 | TFLOPs: 28.39 | 7: iteration 22800/ 37905 | consumed samples: 5836800 | consumed tokens: 11953766400 | elapsed time per iteration (s): 0.23 | learning rate: 8.287E-05 | global batch size: 256 | lm loss: 2.871599E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.905 | TFLOPs: 28.30 | 7: iteration 22810/ 37905 | consumed samples: 5839360 | consumed tokens: 11959009280 | elapsed time per iteration (s): 0.23 | learning rate: 8.280E-05 | global batch size: 256 | lm loss: 2.873319E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.127 | TFLOPs: 28.38 | 7: iteration 22820/ 37905 | consumed samples: 5841920 | consumed tokens: 11964252160 | elapsed time per iteration (s): 0.23 | learning rate: 8.272E-05 | global batch size: 256 | lm loss: 2.876850E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.838 | TFLOPs: 28.04 | 7: iteration 22830/ 37905 | consumed samples: 5844480 | consumed tokens: 11969495040 | elapsed time per iteration (s): 0.23 | learning rate: 8.265E-05 | global batch size: 256 | lm loss: 2.883230E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.759 | TFLOPs: 28.45 | 7: iteration 22840/ 37905 | consumed samples: 5847040 | consumed tokens: 11974737920 | elapsed time per iteration (s): 0.25 | learning rate: 8.258E-05 | global batch size: 256 | lm loss: 2.857324E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1026.366 | TFLOPs: 26.15 | 7: iteration 22850/ 37905 | consumed samples: 5849600 | consumed tokens: 11979980800 | elapsed time per iteration (s): 0.23 | 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11995709440 | elapsed time per iteration (s): 0.23 | learning rate: 8.229E-05 | global batch size: 256 | lm loss: 2.897856E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.402 | TFLOPs: 28.47 | 7: iteration 22890/ 37905 | consumed samples: 5859840 | consumed tokens: 12000952320 | elapsed time per iteration (s): 0.23 | learning rate: 8.222E-05 | global batch size: 256 | lm loss: 2.866719E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.261 | TFLOPs: 28.49 | 7: iteration 22900/ 37905 | consumed samples: 5862400 | consumed tokens: 12006195200 | elapsed time per iteration (s): 0.23 | learning rate: 8.215E-05 | global batch size: 256 | lm loss: 2.898143E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.553 | TFLOPs: 28.37 | 7: iteration 22910/ 37905 | consumed samples: 5864960 | consumed tokens: 12011438080 | elapsed time per iteration (s): 0.23 | learning rate: 8.208E-05 | global batch size: 256 | lm loss: 2.866024E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.837 | TFLOPs: 28.55 | 7: iteration 22920/ 37905 | consumed samples: 5867520 | consumed tokens: 12016680960 | elapsed time per iteration (s): 0.23 | learning rate: 8.201E-05 | global batch size: 256 | lm loss: 2.874147E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.477 | TFLOPs: 28.01 | 7: iteration 22930/ 37905 | consumed samples: 5870080 | consumed tokens: 12021923840 | elapsed time per iteration (s): 0.23 | learning rate: 8.194E-05 | global batch size: 256 | lm loss: 2.870193E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.361 | TFLOPs: 28.21 | 7: iteration 22940/ 37905 | consumed samples: 5872640 | consumed tokens: 12027166720 | elapsed time per iteration (s): 0.23 | learning rate: 8.186E-05 | global batch size: 256 | lm loss: 2.827630E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.582 | TFLOPs: 28.24 | 7: iteration 22950/ 37905 | consumed samples: 5875200 | consumed tokens: 12032409600 | elapsed time per iteration (s): 0.23 | learning rate: 8.179E-05 | global batch size: 256 | lm loss: 2.866576E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.775 | TFLOPs: 28.40 | 7: iteration 22960/ 37905 | consumed samples: 5877760 | consumed tokens: 12037652480 | elapsed time per iteration (s): 0.23 | learning rate: 8.172E-05 | global batch size: 256 | lm loss: 2.884082E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.580 | TFLOPs: 28.57 | 7: iteration 22970/ 37905 | consumed samples: 5880320 | consumed tokens: 12042895360 | elapsed time per iteration (s): 0.24 | learning rate: 8.165E-05 | global batch size: 256 | lm loss: 2.848273E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.173 | TFLOPs: 27.62 | 7: iteration 22980/ 37905 | consumed samples: 5882880 | consumed tokens: 12048138240 | elapsed time per iteration (s): 0.23 | learning rate: 8.158E-05 | global batch size: 256 | lm loss: 2.852829E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.447 | TFLOPs: 28.62 | 7: iteration 22990/ 37905 | consumed samples: 5885440 | consumed tokens: 12053381120 | elapsed time per iteration (s): 0.23 | learning rate: 8.151E-05 | global batch size: 256 | lm loss: 2.863376E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.962 | TFLOPs: 28.25 | 7: iteration 23000/ 37905 | consumed samples: 5888000 | consumed tokens: 12058624000 | elapsed time per iteration (s): 0.23 | learning rate: 8.143E-05 | global batch size: 256 | lm loss: 2.868769E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.457 | TFLOPs: 28.37 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 23000 | lm loss value: 2.765566E+00 | lm loss PPL: 1.588803E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 23000 to checkpoints_83mwarmup 0: [2022-11-24 18:57:26,201] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step23000 is begin to save! 0: [2022-11-24 18:57:26,204] [INFO] 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1087.058 | TFLOPs: 27.69 | 7: iteration 23030/ 37905 | consumed samples: 5895680 | consumed tokens: 12074352640 | elapsed time per iteration (s): 0.24 | learning rate: 8.122E-05 | global batch size: 256 | lm loss: 2.862585E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.158 | TFLOPs: 27.75 | 7: iteration 23040/ 37905 | consumed samples: 5898240 | consumed tokens: 12079595520 | elapsed time per iteration (s): 0.45 | learning rate: 8.115E-05 | global batch size: 256 | lm loss: 2.867785E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 567.276 | TFLOPs: 14.45 | 7: iteration 23050/ 37905 | consumed samples: 5900800 | consumed tokens: 12084838400 | elapsed time per iteration (s): 0.24 | learning rate: 8.108E-05 | global batch size: 256 | lm loss: 2.840892E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1071.916 | TFLOPs: 27.31 | 7: iteration 23060/ 37905 | consumed samples: 5903360 | consumed tokens: 12090081280 | elapsed time per iteration (s): 0.24 | learning rate: 8.101E-05 | global batch size: 256 | lm loss: 2.895374E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1058.231 | TFLOPs: 26.96 | 7: iteration 23070/ 37905 | consumed samples: 5905920 | consumed tokens: 12095324160 | elapsed time per iteration (s): 0.26 | learning rate: 8.094E-05 | global batch size: 256 | lm loss: 2.862415E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 982.483 | TFLOPs: 25.03 | 7: iteration 23080/ 37905 | consumed samples: 5908480 | consumed tokens: 12100567040 | elapsed time per iteration (s): 0.28 | learning rate: 8.086E-05 | global batch size: 256 | lm loss: 2.894763E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 912.646 | TFLOPs: 23.25 | 7: iteration 23090/ 37905 | consumed samples: 5911040 | consumed tokens: 12105809920 | elapsed time per iteration (s): 0.25 | learning rate: 8.079E-05 | global batch size: 256 | lm loss: 2.846066E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1031.564 | TFLOPs: 26.28 | 7: iteration 23100/ 37905 | consumed samples: 5913600 | consumed tokens: 12111052800 | elapsed time per iteration (s): 0.23 | learning rate: 8.072E-05 | global batch size: 256 | lm loss: 2.861896E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.919 | TFLOPs: 28.02 | 7: iteration 23110/ 37905 | consumed samples: 5916160 | consumed tokens: 12116295680 | elapsed time per iteration (s): 0.23 | learning rate: 8.065E-05 | global batch size: 256 | lm loss: 2.854322E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.796 | TFLOPs: 27.92 | 7: iteration 23120/ 37905 | consumed samples: 5918720 | consumed tokens: 12121538560 | elapsed time per iteration (s): 0.23 | learning rate: 8.058E-05 | global batch size: 256 | lm loss: 2.840919E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.251 | TFLOPs: 28.16 | 7: iteration 23130/ 37905 | consumed samples: 5921280 | consumed tokens: 12126781440 | elapsed time per iteration (s): 0.23 | learning rate: 8.051E-05 | global batch size: 256 | lm loss: 2.918807E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.156 | TFLOPs: 28.08 | 7: iteration 23140/ 37905 | consumed samples: 5923840 | consumed tokens: 12132024320 | elapsed time per iteration (s): 0.24 | 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| consumed samples: 5939200 | consumed tokens: 12163481600 | elapsed time per iteration (s): 0.23 | learning rate: 8.001E-05 | global batch size: 256 | lm loss: 2.874614E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.568 | TFLOPs: 28.52 | 7: iteration 23210/ 37905 | consumed samples: 5941760 | consumed tokens: 12168724480 | elapsed time per iteration (s): 0.23 | learning rate: 7.994E-05 | global batch size: 256 | lm loss: 2.851095E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.540 | TFLOPs: 27.86 | 7: iteration 23220/ 37905 | consumed samples: 5944320 | consumed tokens: 12173967360 | elapsed time per iteration (s): 0.24 | learning rate: 7.987E-05 | global batch size: 256 | lm loss: 2.871169E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.837 | TFLOPs: 27.59 | 7: iteration 23230/ 37905 | consumed samples: 5946880 | consumed tokens: 12179210240 | elapsed time per iteration (s): 0.23 | learning rate: 7.980E-05 | global batch size: 256 | lm loss: 2.859961E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.373 | TFLOPs: 28.31 | 7: iteration 23240/ 37905 | consumed samples: 5949440 | consumed tokens: 12184453120 | elapsed time per iteration (s): 0.23 | learning rate: 7.973E-05 | global batch size: 256 | lm loss: 2.867198E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.475 | TFLOPs: 28.44 | 7: iteration 23250/ 37905 | consumed samples: 5952000 | consumed tokens: 12189696000 | elapsed time per iteration (s): 0.23 | learning rate: 7.965E-05 | global batch size: 256 | lm loss: 2.897762E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.515 | TFLOPs: 28.27 | 7: iteration 23260/ 37905 | consumed samples: 5954560 | consumed tokens: 12194938880 | elapsed time per iteration (s): 0.23 | learning rate: 7.958E-05 | global batch size: 256 | lm loss: 2.855748E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.998 | TFLOPs: 28.30 | 7: iteration 23270/ 37905 | consumed samples: 5957120 | consumed tokens: 12200181760 | elapsed time per iteration (s): 0.24 | learning rate: 7.951E-05 | global batch size: 256 | lm loss: 2.887511E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.897 | TFLOPs: 27.74 | 7: iteration 23280/ 37905 | consumed samples: 5959680 | consumed tokens: 12205424640 | elapsed time per iteration (s): 0.23 | learning rate: 7.944E-05 | global batch size: 256 | lm loss: 2.867834E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.648 | TFLOPs: 28.14 | 7: iteration 23290/ 37905 | consumed samples: 5962240 | consumed tokens: 12210667520 | elapsed time per iteration (s): 0.23 | learning rate: 7.937E-05 | global batch size: 256 | lm loss: 2.860863E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.513 | TFLOPs: 28.37 | 7: iteration 23300/ 37905 | consumed samples: 5964800 | consumed tokens: 12215910400 | elapsed time per iteration (s): 0.25 | learning rate: 7.930E-05 | global batch size: 256 | lm loss: 2.893667E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1029.934 | TFLOPs: 26.24 | 7: iteration 23310/ 37905 | consumed samples: 5967360 | consumed tokens: 12221153280 | elapsed time per iteration (s): 0.25 | learning rate: 7.923E-05 | global batch size: 256 | lm loss: 2.870998E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1026.413 | TFLOPs: 26.15 | 7: iteration 23320/ 37905 | consumed samples: 5969920 | consumed tokens: 12226396160 | elapsed time per iteration (s): 0.24 | learning rate: 7.916E-05 | global batch size: 256 | lm loss: 2.886440E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.156 | TFLOPs: 27.57 | 7: iteration 23330/ 37905 | consumed samples: 5972480 | consumed tokens: 12231639040 | elapsed time per iteration (s): 0.24 | learning rate: 7.909E-05 | global batch size: 256 | lm loss: 2.856228E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.574 | TFLOPs: 27.71 | 7: iteration 23340/ 37905 | consumed samples: 5975040 | consumed tokens: 12236881920 | elapsed time per iteration (s): 0.24 | 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| consumed samples: 5990400 | consumed tokens: 12268339200 | elapsed time per iteration (s): 0.24 | learning rate: 7.859E-05 | global batch size: 256 | lm loss: 2.834173E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.234 | TFLOPs: 27.39 | 7: iteration 23410/ 37905 | consumed samples: 5992960 | consumed tokens: 12273582080 | elapsed time per iteration (s): 0.25 | learning rate: 7.852E-05 | global batch size: 256 | lm loss: 2.864914E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1009.486 | TFLOPs: 25.72 | 7: iteration 23420/ 37905 | consumed samples: 5995520 | consumed tokens: 12278824960 | elapsed time per iteration (s): 0.23 | learning rate: 7.845E-05 | global batch size: 256 | lm loss: 2.877438E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.932 | TFLOPs: 27.82 | 7: iteration 23430/ 37905 | consumed samples: 5998080 | consumed tokens: 12284067840 | elapsed time per iteration (s): 0.24 | learning rate: 7.838E-05 | global batch size: 256 | lm loss: 2.856543E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.278 | TFLOPs: 27.65 | 7: iteration 23440/ 37905 | consumed samples: 6000640 | consumed tokens: 12289310720 | elapsed time per iteration (s): 0.24 | learning rate: 7.831E-05 | global batch size: 256 | lm loss: 2.881230E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1061.298 | TFLOPs: 27.04 | 7: iteration 23450/ 37905 | consumed samples: 6003200 | consumed tokens: 12294553600 | elapsed time per iteration (s): 0.23 | learning rate: 7.824E-05 | global batch size: 256 | lm loss: 2.853406E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.258 | TFLOPs: 28.21 | 7: iteration 23460/ 37905 | consumed samples: 6005760 | consumed tokens: 12299796480 | elapsed time per iteration (s): 0.23 | learning rate: 7.817E-05 | global batch size: 256 | lm loss: 2.854151E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.083 | TFLOPs: 28.25 | 7: iteration 23470/ 37905 | consumed samples: 6008320 | consumed tokens: 12305039360 | elapsed time per iteration (s): 0.25 | learning rate: 7.810E-05 | global batch size: 256 | lm loss: 2.889642E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1032.218 | TFLOPs: 26.30 | 7: iteration 23480/ 37905 | consumed samples: 6010880 | consumed tokens: 12310282240 | elapsed time per iteration (s): 0.24 | learning rate: 7.803E-05 | global batch size: 256 | lm loss: 2.887554E+00 | grad norm: 0.224 | num 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lm loss: 2.838233E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.310 | TFLOPs: 27.88 | 7: iteration 23520/ 37905 | consumed samples: 6021120 | consumed tokens: 12331253760 | elapsed time per iteration (s): 0.23 | learning rate: 7.775E-05 | global batch size: 256 | lm loss: 2.894756E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.290 | TFLOPs: 28.44 | 7: iteration 23530/ 37905 | consumed samples: 6023680 | consumed tokens: 12336496640 | elapsed time per iteration (s): 0.23 | learning rate: 7.768E-05 | global batch size: 256 | lm loss: 2.879724E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.732 | TFLOPs: 28.30 | 7: iteration 23540/ 37905 | consumed samples: 6026240 | consumed tokens: 12341739520 | elapsed time per iteration (s): 0.24 | learning rate: 7.761E-05 | global batch size: 256 | lm loss: 2.968332E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.142 | TFLOPs: 27.64 | 7: iteration 23550/ 37905 | consumed samples: 6028800 | consumed tokens: 12346982400 | elapsed time per iteration (s): 0.23 | learning rate: 7.754E-05 | global batch size: 256 | lm loss: 2.914219E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.910 | TFLOPs: 27.77 | 7: iteration 23560/ 37905 | consumed samples: 6031360 | consumed tokens: 12352225280 | elapsed time per iteration (s): 0.24 | learning rate: 7.747E-05 | global batch size: 256 | lm loss: 2.899188E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.294 | TFLOPs: 27.62 | 7: iteration 23570/ 37905 | consumed samples: 6033920 | consumed tokens: 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| consumed samples: 6041600 | consumed tokens: 12373196800 | elapsed time per iteration (s): 0.24 | learning rate: 7.719E-05 | global batch size: 256 | lm loss: 2.868770E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1061.325 | TFLOPs: 27.04 | 7: iteration 23610/ 37905 | consumed samples: 6044160 | consumed tokens: 12378439680 | elapsed time per iteration (s): 0.24 | learning rate: 7.712E-05 | global batch size: 256 | lm loss: 2.884040E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.750 | TFLOPs: 27.63 | 7: iteration 23620/ 37905 | consumed samples: 6046720 | consumed tokens: 12383682560 | elapsed time per iteration (s): 0.24 | learning rate: 7.705E-05 | global batch size: 256 | lm loss: 2.903524E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 1064.979 | TFLOPs: 27.13 | 7: iteration 23660/ 37905 | consumed samples: 6056960 | consumed tokens: 12404654080 | elapsed time per iteration (s): 0.24 | learning rate: 7.677E-05 | global batch size: 256 | lm loss: 2.873647E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.353 | TFLOPs: 27.70 | 7: iteration 23670/ 37905 | consumed samples: 6059520 | consumed tokens: 12409896960 | elapsed time per iteration (s): 0.23 | learning rate: 7.670E-05 | global batch size: 256 | lm loss: 2.866492E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.186 | TFLOPs: 28.15 | 7: iteration 23680/ 37905 | consumed samples: 6062080 | consumed tokens: 12415139840 | elapsed time per iteration (s): 0.23 | learning rate: 7.663E-05 | global batch size: 256 | lm loss: 2.861777E+00 | grad norm: 0.207 | num 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learning rate: 7.481E-05 | global batch size: 256 | lm loss: 2.860072E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.582 | TFLOPs: 28.37 | 7: iteration 23950/ 37905 | consumed samples: 6131200 | consumed tokens: 12556697600 | elapsed time per iteration (s): 0.25 | learning rate: 7.474E-05 | global batch size: 256 | lm loss: 2.862300E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1028.235 | TFLOPs: 26.19 | 7: iteration 23960/ 37905 | consumed samples: 6133760 | consumed tokens: 12561940480 | elapsed time per iteration (s): 0.23 | learning rate: 7.468E-05 | global batch size: 256 | lm loss: 2.838636E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.425 | TFLOPs: 27.88 | 7: iteration 23970/ 37905 | consumed samples: 6136320 | consumed tokens: 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19:01:24,584] [INFO] [logging.py:68:log_dist] [Rank 0] step=24000, skipped=0, lr=[7.439815524319269e-05, 7.439815524319269e-05, 7.439815524319269e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 24000/ 37905 | consumed samples: 6144000 | consumed tokens: 12582912000 | elapsed time per iteration (s): 0.24 | learning rate: 7.440E-05 | global batch size: 256 | lm loss: 2.857605E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.478 | TFLOPs: 27.35 | 0: steps: 24000 loss: 2.9478 iter time (s): 0.233 samples/sec: 1096.699 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 24000 | lm loss value: 2.762759E+00 | lm loss PPL: 1.584349E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 24000 to checkpoints_83mwarmup 0: [2022-11-24 19:01:24,693] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step24000 is begin to save! 0: [2022-11-24 19:01:24,701] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step24000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:01:24,785] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step24000/layer_01-model_00-model_states.pt. 0: [2022-11-24 19:01:24,786] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step24000/layer_03-model_00-model_states.pt... 0: [2022-11-24 19:01:24,798] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step24000/layer_03-model_00-model_states.pt. 0: [2022-11-24 19:01:24,798] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step24000/layer_04-model_00-model_states.pt... 0: [2022-11-24 19:01:24,810] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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19:01:25,079] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:01:25,079] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-24 19:01:25,079] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 4: [2022-11-24 19:01:25,079] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-24 19:01:25,079] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 4: [2022-11-24 19:01:25,079] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-24 19:01:25,079] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-24 19:01:25,079] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 4: [2022-11-24 19:01:25,079] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step24000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-24 19:01:25,079] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 0: successfully saved checkpoint at iteration 24000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 392.78 7: iteration 24010/ 37905 | consumed samples: 6146560 | consumed tokens: 12588154880 | elapsed time per iteration (s): 0.28 | learning rate: 7.433E-05 | global batch size: 256 | lm loss: 2.845693E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 907.027 | TFLOPs: 23.11 | 7: iteration 24020/ 37905 | consumed samples: 6149120 | consumed tokens: 12593397760 | elapsed time per iteration (s): 0.24 | learning rate: 7.426E-05 | global batch size: 256 | lm loss: 2.862060E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1051.242 | TFLOPs: 26.78 | 7: iteration 24030/ 37905 | consumed samples: 6151680 | consumed tokens: 12598640640 | elapsed time per iteration (s): 0.23 | learning rate: 7.419E-05 | global batch size: 256 | lm loss: 2.890155E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.991 | TFLOPs: 27.92 | 7: iteration 24040/ 37905 | consumed samples: 6154240 | consumed tokens: 12603883520 | elapsed time per iteration (s): 0.25 | learning rate: 7.412E-05 | global batch size: 256 | lm loss: 2.856193E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1011.121 | TFLOPs: 25.76 | 7: iteration 24050/ 37905 | consumed samples: 6156800 | consumed tokens: 12609126400 | elapsed time per iteration (s): 0.24 | learning rate: 7.405E-05 | global batch size: 256 | lm loss: 2.877434E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.012 | TFLOPs: 27.51 | 7: iteration 24060/ 37905 | consumed samples: 6159360 | consumed tokens: 12614369280 | elapsed time per iteration (s): 0.24 | learning rate: 7.398E-05 | global batch size: 256 | lm loss: 2.875576E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1055.477 | TFLOPs: 26.89 | 7: iteration 24070/ 37905 | consumed samples: 6161920 | consumed tokens: 12619612160 | elapsed time per iteration (s): 0.24 | learning rate: 7.391E-05 | global batch size: 256 | lm loss: 2.859193E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.244 | TFLOPs: 27.67 | 7: iteration 24080/ 37905 | consumed samples: 6164480 | consumed tokens: 12624855040 | elapsed time per iteration (s): 0.23 | learning rate: 7.385E-05 | global batch size: 256 | lm loss: 2.886799E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.197 | TFLOPs: 28.56 | 7: iteration 24090/ 37905 | consumed samples: 6167040 | consumed tokens: 12630097920 | elapsed time per iteration (s): 0.24 | learning rate: 7.378E-05 | global batch size: 256 | lm loss: 2.861913E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.234 | TFLOPs: 27.42 | 7: iteration 24100/ 37905 | consumed samples: 6169600 | consumed tokens: 12635340800 | elapsed time per iteration (s): 0.25 | learning rate: 7.371E-05 | global batch size: 256 | lm loss: 2.838894E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1037.547 | TFLOPs: 26.43 | 7: iteration 24110/ 37905 | consumed samples: 6172160 | consumed tokens: 12640583680 | elapsed time per iteration (s): 0.24 | learning rate: 7.364E-05 | global batch size: 256 | lm loss: 2.875887E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1047.178 | TFLOPs: 26.68 | 7: iteration 24120/ 37905 | consumed samples: 6174720 | consumed tokens: 12645826560 | elapsed time per iteration (s): 0.23 | learning rate: 7.357E-05 | global batch size: 256 | lm loss: 2.868909E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.046 | TFLOPs: 28.07 | 7: iteration 24130/ 37905 | consumed samples: 6177280 | consumed tokens: 12651069440 | elapsed time per iteration (s): 0.24 | learning rate: 7.350E-05 | global batch size: 256 | lm loss: 2.873206E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1064.736 | TFLOPs: 27.12 | 7: iteration 24140/ 37905 | consumed samples: 6179840 | consumed tokens: 12656312320 | elapsed time per iteration (s): 0.23 | learning rate: 7.343E-05 | global batch size: 256 | lm loss: 2.830622E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.811 | TFLOPs: 27.81 | 7: iteration 24150/ 37905 | consumed samples: 6182400 | consumed tokens: 12661555200 | elapsed time per iteration (s): 0.23 | learning rate: 7.336E-05 | global batch size: 256 | lm loss: 2.872660E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.767 | TFLOPs: 28.02 | 7: iteration 24160/ 37905 | consumed samples: 6184960 | consumed tokens: 12666798080 | elapsed time per iteration (s): 0.23 | learning rate: 7.329E-05 | global batch size: 256 | lm loss: 2.876666E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.846 | TFLOPs: 28.32 | 7: iteration 24170/ 37905 | consumed samples: 6187520 | consumed tokens: 12672040960 | elapsed time per iteration (s): 0.23 | learning rate: 7.323E-05 | global batch size: 256 | lm loss: 2.859357E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.219 | TFLOPs: 28.05 | 7: iteration 24180/ 37905 | consumed samples: 6190080 | consumed tokens: 12677283840 | elapsed time per iteration (s): 0.24 | learning rate: 7.316E-05 | global batch size: 256 | lm loss: 2.874567E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.130 | TFLOPs: 27.24 | 7: iteration 24190/ 37905 | consumed samples: 6192640 | consumed tokens: 12682526720 | elapsed time per iteration (s): 0.24 | learning rate: 7.309E-05 | global batch size: 256 | lm loss: 2.859497E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.480 | TFLOPs: 27.53 | 7: iteration 24200/ 37905 | consumed samples: 6195200 | consumed tokens: 12687769600 | elapsed time per iteration (s): 0.23 | learning rate: 7.302E-05 | global batch size: 256 | lm loss: 2.887627E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.542 | TFLOPs: 28.39 | 7: iteration 24210/ 37905 | consumed samples: 6197760 | consumed tokens: 12693012480 | elapsed time per iteration (s): 0.23 | learning rate: 7.295E-05 | global batch size: 256 | lm loss: 2.865574E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.859 | TFLOPs: 28.12 | 7: iteration 24220/ 37905 | consumed samples: 6200320 | consumed tokens: 12698255360 | elapsed time per iteration (s): 0.23 | learning rate: 7.288E-05 | global batch size: 256 | lm loss: 2.836239E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.532 | TFLOPs: 28.21 | 7: iteration 24230/ 37905 | consumed samples: 6202880 | consumed tokens: 12703498240 | elapsed time per iteration (s): 0.23 | learning rate: 7.281E-05 | global batch size: 256 | lm loss: 2.853780E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.570 | TFLOPs: 28.27 | 7: iteration 24240/ 37905 | consumed samples: 6205440 | consumed tokens: 12708741120 | elapsed time per iteration (s): 0.23 | learning rate: 7.274E-05 | global batch size: 256 | lm loss: 2.865737E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.266 | TFLOPs: 27.83 | 7: iteration 24250/ 37905 | consumed samples: 6208000 | consumed tokens: 12713984000 | elapsed time per iteration (s): 0.24 | learning rate: 7.268E-05 | global batch size: 256 | lm loss: 2.869919E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.648 | TFLOPs: 27.53 | 7: iteration 24260/ 37905 | consumed samples: 6210560 | consumed tokens: 12719226880 | elapsed time per iteration (s): 0.23 | learning rate: 7.261E-05 | global batch size: 256 | lm loss: 2.863023E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.427 | TFLOPs: 27.96 | 7: iteration 24270/ 37905 | consumed samples: 6213120 | consumed tokens: 12724469760 | elapsed time per iteration (s): 0.23 | learning rate: 7.254E-05 | global batch size: 256 | lm loss: 2.885047E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.192 | TFLOPs: 28.15 | 7: iteration 24280/ 37905 | consumed samples: 6215680 | consumed tokens: 12729712640 | elapsed time per iteration (s): 0.24 | learning rate: 7.247E-05 | global batch size: 256 | lm loss: 2.869309E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.524 | TFLOPs: 27.25 | 7: iteration 24290/ 37905 | consumed samples: 6218240 | consumed tokens: 12734955520 | elapsed time per iteration (s): 0.24 | learning rate: 7.240E-05 | global batch size: 256 | lm loss: 2.836744E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1057.189 | TFLOPs: 26.93 | 7: iteration 24300/ 37905 | consumed samples: 6220800 | consumed tokens: 12740198400 | elapsed time per iteration (s): 0.23 | learning rate: 7.233E-05 | global batch size: 256 | lm loss: 2.854944E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.852 | TFLOPs: 27.94 | 7: iteration 24310/ 37905 | consumed samples: 6223360 | consumed tokens: 12745441280 | elapsed time per iteration (s): 0.24 | learning rate: 7.227E-05 | global batch size: 256 | lm loss: 2.854246E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.131 | TFLOPs: 27.69 | 7: iteration 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second: 1105.076 | TFLOPs: 28.15 | 7: iteration 24350/ 37905 | consumed samples: 6233600 | consumed tokens: 12766412800 | elapsed time per iteration (s): 0.23 | learning rate: 7.199E-05 | global batch size: 256 | lm loss: 2.869217E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.668 | TFLOPs: 27.94 | 7: iteration 24360/ 37905 | consumed samples: 6236160 | consumed tokens: 12771655680 | elapsed time per iteration (s): 0.23 | learning rate: 7.192E-05 | global batch size: 256 | lm loss: 2.863695E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.502 | TFLOPs: 27.88 | 7: iteration 24370/ 37905 | consumed samples: 6238720 | consumed tokens: 12776898560 | elapsed time per iteration (s): 0.23 | learning rate: 7.186E-05 | global batch size: 256 | lm loss: 2.876475E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.641 | TFLOPs: 27.84 | 7: iteration 24380/ 37905 | consumed samples: 6241280 | consumed tokens: 12782141440 | elapsed time per iteration (s): 0.24 | learning rate: 7.179E-05 | global batch size: 256 | lm loss: 2.829721E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1045.572 | TFLOPs: 26.64 | 7: iteration 24390/ 37905 | consumed samples: 6243840 | consumed tokens: 12787384320 | elapsed time per iteration (s): 0.23 | learning rate: 7.172E-05 | global batch size: 256 | lm loss: 2.841549E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.737 | TFLOPs: 27.91 | 7: iteration 24400/ 37905 | consumed samples: 6246400 | consumed tokens: 12792627200 | elapsed time per iteration (s): 0.23 | learning rate: 7.165E-05 | global batch size: 256 | lm loss: 2.883909E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.163 | TFLOPs: 28.46 | 7: iteration 24410/ 37905 | consumed samples: 6248960 | consumed tokens: 12797870080 | elapsed time per iteration (s): 0.23 | learning rate: 7.158E-05 | global batch size: 256 | lm loss: 2.871202E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.803 | TFLOPs: 28.45 | 7: iteration 24420/ 37905 | consumed samples: 6251520 | consumed tokens: 12803112960 | elapsed time per iteration (s): 0.23 | learning rate: 7.151E-05 | global batch size: 256 | lm loss: 2.888720E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.077 | TFLOPs: 27.97 | 7: iteration 24430/ 37905 | consumed samples: 6254080 | consumed tokens: 12808355840 | elapsed time per iteration (s): 0.23 | learning rate: 7.145E-05 | global batch size: 256 | lm loss: 2.885472E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.093 | TFLOPs: 27.77 | 7: iteration 24440/ 37905 | consumed samples: 6256640 | consumed tokens: 12813598720 | elapsed time per iteration (s): 0.23 | learning rate: 7.138E-05 | global batch size: 256 | lm loss: 2.868721E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.725 | TFLOPs: 27.79 | 7: iteration 24450/ 37905 | consumed samples: 6259200 | consumed tokens: 12818841600 | elapsed time per iteration (s): 0.24 | learning rate: 7.131E-05 | global batch size: 256 | lm loss: 2.849338E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.122 | TFLOPs: 27.69 | 7: iteration 24460/ 37905 | consumed samples: 6261760 | consumed tokens: 12824084480 | elapsed time per iteration (s): 0.23 | learning rate: 7.124E-05 | global batch size: 256 | lm loss: 2.887930E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.807 | TFLOPs: 28.27 | 7: iteration 24470/ 37905 | consumed samples: 6264320 | consumed tokens: 12829327360 | elapsed time per iteration (s): 0.23 | learning rate: 7.117E-05 | global batch size: 256 | lm loss: 2.861297E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.162 | TFLOPs: 28.13 | 7: iteration 24480/ 37905 | consumed samples: 6266880 | consumed tokens: 12834570240 | elapsed time per iteration (s): 0.23 | learning rate: 7.111E-05 | global batch size: 256 | lm loss: 2.874334E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.954 | TFLOPs: 28.00 | 7: iteration 24490/ 37905 | consumed samples: 6269440 | consumed tokens: 12839813120 | elapsed time per iteration (s): 0.24 | learning rate: 7.104E-05 | global batch size: 256 | lm loss: 2.872651E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.325 | TFLOPs: 27.67 | 7: iteration 24500/ 37905 | consumed samples: 6272000 | consumed tokens: 12845056000 | elapsed time per iteration (s): 0.23 | learning rate: 7.097E-05 | global batch size: 256 | lm loss: 2.878071E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.307 | TFLOPs: 27.98 | 7: iteration 24510/ 37905 | consumed samples: 6274560 | consumed tokens: 12850298880 | elapsed time per iteration (s): 0.23 | learning rate: 7.090E-05 | global batch size: 256 | lm loss: 2.895409E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.587 | TFLOPs: 28.57 | 7: iteration 24520/ 37905 | consumed samples: 6277120 | consumed tokens: 12855541760 | elapsed time per iteration (s): 0.24 | learning rate: 7.083E-05 | global batch size: 256 | lm loss: 2.915969E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.808 | TFLOPs: 27.66 | 7: iteration 24530/ 37905 | consumed samples: 6279680 | consumed tokens: 12860784640 | elapsed time per iteration (s): 0.23 | learning rate: 7.077E-05 | global batch size: 256 | lm loss: 2.864939E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.380 | TFLOPs: 28.36 | 7: iteration 24540/ 37905 | consumed samples: 6282240 | consumed tokens: 12866027520 | elapsed time per iteration (s): 0.23 | learning rate: 7.070E-05 | global batch size: 256 | lm loss: 2.895037E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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| consumed samples: 6328320 | consumed tokens: 12960399360 | elapsed time per iteration (s): 0.23 | learning rate: 6.948E-05 | global batch size: 256 | lm loss: 2.864954E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.314 | TFLOPs: 27.98 | 7: iteration 24730/ 37905 | consumed samples: 6330880 | consumed tokens: 12965642240 | elapsed time per iteration (s): 0.23 | learning rate: 6.942E-05 | global batch size: 256 | lm loss: 2.841772E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.491 | TFLOPs: 28.29 | 7: iteration 24740/ 37905 | consumed samples: 6333440 | consumed tokens: 12970885120 | elapsed time per iteration (s): 0.24 | learning rate: 6.935E-05 | global batch size: 256 | lm loss: 2.862523E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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learning rate: 6.854E-05 | global batch size: 256 | lm loss: 2.816201E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.387 | TFLOPs: 27.96 | 7: iteration 24870/ 37905 | consumed samples: 6366720 | consumed tokens: 13039042560 | elapsed time per iteration (s): 0.23 | learning rate: 6.848E-05 | global batch size: 256 | lm loss: 2.870351E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.581 | TFLOPs: 27.78 | 7: iteration 24880/ 37905 | consumed samples: 6369280 | consumed tokens: 13044285440 | elapsed time per iteration (s): 0.23 | learning rate: 6.841E-05 | global batch size: 256 | lm loss: 2.850922E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.144 | TFLOPs: 27.87 | 7: iteration 24890/ 37905 | consumed samples: 6371840 | consumed tokens: 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| consumed samples: 6379520 | consumed tokens: 13065256960 | elapsed time per iteration (s): 0.23 | learning rate: 6.814E-05 | global batch size: 256 | lm loss: 2.864824E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.380 | TFLOPs: 28.21 | 7: iteration 24930/ 37905 | consumed samples: 6382080 | consumed tokens: 13070499840 | elapsed time per iteration (s): 0.23 | learning rate: 6.808E-05 | global batch size: 256 | lm loss: 2.864675E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.824 | TFLOPs: 28.40 | 7: iteration 24940/ 37905 | consumed samples: 6384640 | consumed tokens: 13075742720 | elapsed time per iteration (s): 0.24 | learning rate: 6.801E-05 | global batch size: 256 | lm loss: 2.854865E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 1102.459 | TFLOPs: 28.09 | 7: iteration 24980/ 37905 | consumed samples: 6394880 | consumed tokens: 13096714240 | elapsed time per iteration (s): 0.24 | learning rate: 6.774E-05 | global batch size: 256 | lm loss: 2.843113E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1058.520 | TFLOPs: 26.97 | 7: iteration 24990/ 37905 | consumed samples: 6397440 | consumed tokens: 13101957120 | elapsed time per iteration (s): 0.23 | learning rate: 6.768E-05 | global batch size: 256 | lm loss: 2.864231E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.089 | TFLOPs: 28.53 | 7: iteration 25000/ 37905 | consumed samples: 6400000 | consumed tokens: 13107200000 | elapsed time per iteration (s): 0.23 | learning rate: 6.761E-05 | global batch size: 256 | lm loss: 2.860082E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.970 | TFLOPs: 28.28 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 25000 | lm loss value: 2.772031E+00 | lm loss PPL: 1.599108E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 25000 to checkpoints_83mwarmup 0: [2022-11-24 19:05:20,209] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step25000 is begin to save! 0: [2022-11-24 19:05:20,212] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step25000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:05:20,315] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step25000/layer_01-model_00-model_states.pt. 0: [2022-11-24 19:05:20,315] [INFO] [torch_checkpoint_engine.py:15:save] 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checkpoints_83mwarmup/global_step25000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-24 19:05:20,477] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now! 0: [2022-11-24 19:05:20,477] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step25000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:05:20,477] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step25000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 2: [2022-11-24 19:05:20,477] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step25000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 6: [2022-11-24 19:05:20,477] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step25000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 0: [2022-11-24 19:05:20,477] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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loss: 2.853471E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 974.579 | TFLOPs: 24.83 | 7: iteration 25020/ 37905 | consumed samples: 6405120 | consumed tokens: 13117685760 | elapsed time per iteration (s): 0.23 | learning rate: 6.748E-05 | global batch size: 256 | lm loss: 2.857071E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.803 | TFLOPs: 27.84 | 7: iteration 25030/ 37905 | consumed samples: 6407680 | consumed tokens: 13122928640 | elapsed time per iteration (s): 0.24 | learning rate: 6.741E-05 | global batch size: 256 | lm loss: 2.862158E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.120 | TFLOPs: 27.64 | 7: iteration 25040/ 37905 | consumed samples: 6410240 | consumed tokens: 13128171520 | elapsed time per iteration (s): 0.24 | learning rate: 6.735E-05 | global batch size: 256 | lm loss: 2.872579E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.799 | TFLOPs: 27.18 | 7: iteration 25050/ 37905 | consumed samples: 6412800 | consumed tokens: 13133414400 | elapsed time per iteration (s): 0.24 | learning rate: 6.728E-05 | global batch size: 256 | lm loss: 2.884724E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.792 | TFLOPs: 27.36 | 7: iteration 25060/ 37905 | consumed samples: 6415360 | consumed tokens: 13138657280 | elapsed time per iteration (s): 0.23 | learning rate: 6.721E-05 | global batch size: 256 | lm loss: 2.865181E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.587 | TFLOPs: 28.52 | 7: iteration 25070/ 37905 | consumed samples: 6417920 | consumed tokens: 13143900160 | elapsed time per iteration (s): 0.23 | learning rate: 6.715E-05 | global batch size: 256 | lm loss: 2.855035E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.821 | TFLOPs: 27.87 | 7: iteration 25080/ 37905 | consumed samples: 6420480 | consumed tokens: 13149143040 | elapsed time per iteration (s): 0.24 | learning rate: 6.708E-05 | global batch size: 256 | lm loss: 2.882327E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1058.810 | TFLOPs: 26.97 | 7: iteration 25090/ 37905 | consumed samples: 6423040 | consumed tokens: 13154385920 | elapsed time per iteration (s): 0.24 | learning rate: 6.701E-05 | global batch size: 256 | lm loss: 2.866858E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.006 | TFLOPs: 27.44 | 7: iteration 25100/ 37905 | consumed 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6.602E-05 | global batch size: 256 | lm loss: 2.866730E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.923 | TFLOPs: 27.51 | 7: iteration 25250/ 37905 | consumed samples: 6464000 | consumed tokens: 13238272000 | elapsed time per iteration (s): 0.23 | learning rate: 6.596E-05 | global batch size: 256 | lm loss: 2.854956E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.214 | TFLOPs: 28.16 | 7: iteration 25260/ 37905 | consumed samples: 6466560 | consumed tokens: 13243514880 | elapsed time per iteration (s): 0.23 | learning rate: 6.589E-05 | global batch size: 256 | lm loss: 2.857496E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.303 | TFLOPs: 28.00 | 7: iteration 25270/ 37905 | consumed samples: 6469120 | consumed tokens: 13248757760 | elapsed time per iteration (s): 0.23 | learning rate: 6.583E-05 | global batch size: 256 | lm loss: 2.884785E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.985 | TFLOPs: 28.35 | 7: iteration 25280/ 37905 | consumed samples: 6471680 | consumed tokens: 13254000640 | elapsed time per iteration (s): 0.24 | learning rate: 6.576E-05 | global batch size: 256 | lm loss: 2.885438E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.315 | TFLOPs: 27.60 | 7: iteration 25290/ 37905 | consumed samples: 6474240 | consumed tokens: 13259243520 | elapsed time per iteration (s): 0.24 | learning rate: 6.570E-05 | global batch size: 256 | lm loss: 2.804822E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1059.166 | TFLOPs: 26.98 | 7: iteration 25300/ 37905 | consumed samples: 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7: iteration 25330/ 37905 | consumed samples: 6484480 | consumed tokens: 13280215040 | elapsed time per iteration (s): 0.23 | learning rate: 6.543E-05 | global batch size: 256 | lm loss: 2.863605E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.299 | TFLOPs: 27.98 | 7: iteration 25340/ 37905 | consumed samples: 6487040 | consumed tokens: 13285457920 | elapsed time per iteration (s): 0.23 | learning rate: 6.537E-05 | global batch size: 256 | lm loss: 2.869333E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.437 | TFLOPs: 28.31 | 7: iteration 25350/ 37905 | consumed samples: 6489600 | consumed tokens: 13290700800 | elapsed time per iteration (s): 0.24 | learning rate: 6.530E-05 | global batch size: 256 | lm loss: 2.852879E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.497 | TFLOPs: 27.65 | 7: iteration 25420/ 37905 | consumed samples: 6507520 | consumed tokens: 13327400960 | elapsed time per iteration (s): 0.23 | learning rate: 6.485E-05 | global batch size: 256 | lm loss: 2.839931E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.288 | TFLOPs: 28.56 | 7: iteration 25430/ 37905 | consumed samples: 6510080 | consumed tokens: 13332643840 | elapsed time per iteration (s): 0.23 | learning rate: 6.478E-05 | global batch size: 256 | lm loss: 2.884554E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.001 | TFLOPs: 28.56 | 7: iteration 25440/ 37905 | consumed samples: 6512640 | consumed tokens: 13337886720 | elapsed time per iteration (s): 0.24 | learning rate: 6.472E-05 | global 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second: 1095.157 | TFLOPs: 27.90 | 7: iteration 25560/ 37905 | consumed samples: 6543360 | consumed tokens: 13400801280 | elapsed time per iteration (s): 0.23 | learning rate: 6.394E-05 | global batch size: 256 | lm loss: 2.872362E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.540 | TFLOPs: 28.52 | 7: iteration 25570/ 37905 | consumed samples: 6545920 | consumed tokens: 13406044160 | elapsed time per iteration (s): 0.23 | learning rate: 6.387E-05 | global batch size: 256 | lm loss: 2.849810E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.070 | TFLOPs: 28.38 | 7: iteration 25580/ 37905 | consumed samples: 6548480 | consumed tokens: 13411287040 | elapsed time per iteration (s): 0.24 | learning rate: 6.381E-05 | global batch size: 256 | lm loss: 2.837760E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.318 | TFLOPs: 27.70 | 7: iteration 25590/ 37905 | consumed samples: 6551040 | consumed tokens: 13416529920 | elapsed time per iteration (s): 0.24 | learning rate: 6.374E-05 | global batch size: 256 | lm loss: 2.845240E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.742 | TFLOPs: 27.68 | 7: iteration 25600/ 37905 | consumed samples: 6553600 | consumed tokens: 13421772800 | elapsed time per iteration (s): 0.23 | learning rate: 6.368E-05 | global batch size: 256 | lm loss: 2.840431E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.259 | TFLOPs: 27.95 | 7: iteration 25610/ 37905 | consumed samples: 6556160 | consumed tokens: 13427015680 | elapsed time per iteration (s): 0.23 | learning rate: 6.361E-05 | global batch size: 256 | lm loss: 2.860651E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.382 | TFLOPs: 27.98 | 7: iteration 25620/ 37905 | consumed samples: 6558720 | consumed tokens: 13432258560 | elapsed time per iteration (s): 0.23 | learning rate: 6.355E-05 | global batch size: 256 | lm loss: 2.891895E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.215 | TFLOPs: 28.33 | 7: iteration 25630/ 37905 | consumed samples: 6561280 | consumed tokens: 13437501440 | elapsed time per iteration (s): 0.23 | learning rate: 6.348E-05 | global batch size: 256 | lm loss: 2.888995E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.370 | TFLOPs: 27.80 | 7: iteration 25640/ 37905 | consumed samples: 6563840 | consumed tokens: 13442744320 | elapsed time per iteration (s): 0.23 | learning rate: 6.342E-05 | global batch size: 256 | lm loss: 2.860491E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.730 | TFLOPs: 27.99 | 7: iteration 25650/ 37905 | consumed samples: 6566400 | consumed tokens: 13447987200 | elapsed time per iteration (s): 0.23 | learning rate: 6.336E-05 | global batch size: 256 | lm loss: 2.875051E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.651 | TFLOPs: 27.89 | 7: iteration 25660/ 37905 | consumed samples: 6568960 | consumed tokens: 13453230080 | elapsed time per iteration (s): 0.23 | learning rate: 6.329E-05 | global batch size: 256 | lm loss: 2.879980E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.675 | TFLOPs: 27.94 | 7: iteration 25670/ 37905 | consumed samples: 6571520 | consumed tokens: 13458472960 | elapsed time per iteration (s): 0.23 | 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| consumed samples: 6586880 | consumed tokens: 13489930240 | elapsed time per iteration (s): 0.24 | learning rate: 6.284E-05 | global batch size: 256 | lm loss: 2.860181E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.771 | TFLOPs: 27.74 | 7: iteration 25740/ 37905 | consumed samples: 6589440 | consumed tokens: 13495173120 | elapsed time per iteration (s): 0.24 | learning rate: 6.278E-05 | global batch size: 256 | lm loss: 2.870086E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.685 | TFLOPs: 27.20 | 7: iteration 25750/ 37905 | consumed samples: 6592000 | consumed tokens: 13500416000 | elapsed time per iteration (s): 0.23 | learning rate: 6.271E-05 | global batch size: 256 | lm loss: 2.867547E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 1092.131 | TFLOPs: 27.82 | 7: iteration 25790/ 37905 | consumed samples: 6602240 | consumed tokens: 13521387520 | elapsed time per iteration (s): 0.23 | learning rate: 6.246E-05 | global batch size: 256 | lm loss: 2.890921E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.005 | TFLOPs: 27.92 | 7: iteration 25800/ 37905 | consumed samples: 6604800 | consumed tokens: 13526630400 | elapsed time per iteration (s): 0.23 | learning rate: 6.239E-05 | global batch size: 256 | lm loss: 2.860000E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.448 | TFLOPs: 28.16 | 7: iteration 25810/ 37905 | consumed samples: 6607360 | consumed tokens: 13531873280 | elapsed time per iteration (s): 0.23 | learning rate: 6.233E-05 | global batch size: 256 | lm loss: 2.886185E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.734 | TFLOPs: 28.19 | 7: iteration 25820/ 37905 | consumed samples: 6609920 | consumed tokens: 13537116160 | elapsed time per iteration (s): 0.23 | learning rate: 6.226E-05 | global batch size: 256 | lm loss: 2.882669E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.771 | TFLOPs: 27.91 | 7: iteration 25830/ 37905 | consumed samples: 6612480 | consumed tokens: 13542359040 | elapsed time per iteration (s): 0.24 | learning rate: 6.220E-05 | global batch size: 256 | lm loss: 2.866259E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1047.912 | TFLOPs: 26.70 | 7: iteration 25840/ 37905 | consumed samples: 6615040 | consumed tokens: 13547601920 | elapsed time per iteration (s): 0.25 | learning rate: 6.214E-05 | global batch size: 256 | lm loss: 2.860968E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1024.911 | TFLOPs: 26.11 | 7: iteration 25850/ 37905 | consumed samples: 6617600 | consumed tokens: 13552844800 | elapsed time per iteration (s): 0.23 | learning rate: 6.207E-05 | global batch size: 256 | lm loss: 2.882736E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.975 | TFLOPs: 28.28 | 7: iteration 25860/ 37905 | consumed samples: 6620160 | consumed tokens: 13558087680 | elapsed time per iteration (s): 0.43 | learning rate: 6.201E-05 | global batch size: 256 | lm loss: 2.879054E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 596.475 | TFLOPs: 15.20 | 7: iteration 25870/ 37905 | consumed samples: 6622720 | consumed tokens: 13563330560 | elapsed time per iteration (s): 0.23 | 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13579059200 | elapsed time per iteration (s): 0.23 | learning rate: 6.175E-05 | global batch size: 256 | lm loss: 2.868490E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.440 | TFLOPs: 28.11 | 7: iteration 25910/ 37905 | consumed samples: 6632960 | consumed tokens: 13584302080 | elapsed time per iteration (s): 0.23 | learning rate: 6.169E-05 | global batch size: 256 | lm loss: 2.873517E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.558 | TFLOPs: 28.22 | 7: iteration 25920/ 37905 | consumed samples: 6635520 | consumed tokens: 13589544960 | elapsed time per iteration (s): 0.23 | learning rate: 6.163E-05 | global batch size: 256 | lm loss: 2.852633E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.138 | TFLOPs: 27.82 | 7: iteration 25930/ 37905 | consumed samples: 6638080 | consumed tokens: 13594787840 | elapsed time per iteration (s): 0.23 | learning rate: 6.156E-05 | global batch size: 256 | lm loss: 2.869094E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.729 | TFLOPs: 27.94 | 7: iteration 25940/ 37905 | consumed samples: 6640640 | consumed tokens: 13600030720 | elapsed time per iteration (s): 0.24 | learning rate: 6.150E-05 | global batch size: 256 | lm loss: 2.849460E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1060.749 | TFLOPs: 27.02 | 7: iteration 25950/ 37905 | consumed samples: 6643200 | consumed tokens: 13605273600 | elapsed time per iteration (s): 0.23 | learning rate: 6.144E-05 | global batch size: 256 | lm loss: 2.875730E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.946 | TFLOPs: 28.17 | 7: iteration 25960/ 37905 | consumed samples: 6645760 | consumed tokens: 13610516480 | elapsed time per iteration (s): 0.25 | learning rate: 6.137E-05 | global batch size: 256 | lm loss: 2.852359E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1021.459 | TFLOPs: 26.02 | 7: iteration 25970/ 37905 | consumed samples: 6648320 | consumed tokens: 13615759360 | elapsed time per iteration (s): 0.23 | learning rate: 6.131E-05 | global batch size: 256 | lm loss: 2.868791E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.454 | TFLOPs: 27.83 | 7: iteration 25980/ 37905 | consumed samples: 6650880 | consumed tokens: 13621002240 | elapsed time per iteration (s): 0.23 | learning rate: 6.125E-05 | global batch size: 256 | lm loss: 2.840291E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.934 | TFLOPs: 27.87 | 7: iteration 25990/ 37905 | consumed samples: 6653440 | consumed tokens: 13626245120 | elapsed time per iteration (s): 0.24 | learning rate: 6.118E-05 | global batch size: 256 | lm loss: 2.879499E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.102 | TFLOPs: 27.54 | 0: [2022-11-24 19:09:16,924] [INFO] [logging.py:68:log_dist] [Rank 0] step=26000, skipped=0, lr=[6.112056897407288e-05, 6.112056897407288e-05, 6.112056897407288e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 26000/ 37905 | consumed samples: 6656000 | consumed tokens: 13631488000 | elapsed time per iteration (s): 0.23 | learning rate: 6.112E-05 | global batch size: 256 | lm loss: 2.883792E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.474 | TFLOPs: 28.31 | 0: steps: 26000 loss: 2.9106 iter time (s): 0.234 samples/sec: 1091.881 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 26000 | lm loss value: 2.712567E+00 | lm loss PPL: 1.506791E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 26000 to checkpoints_83mwarmup 0: [2022-11-24 19:09:17,057] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step26000 is begin to save! 0: [2022-11-24 19:09:17,062] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step26000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:09:17,133] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step26000/layer_01-model_00-model_states.pt. 0: [2022-11-24 19:09:17,133] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 922.250 | TFLOPs: 23.49 | 7: iteration 26020/ 37905 | consumed samples: 6661120 | consumed tokens: 13641973760 | elapsed time per iteration (s): 0.24 | learning rate: 6.099E-05 | global batch size: 256 | lm loss: 2.860503E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.609 | TFLOPs: 27.25 | 7: iteration 26030/ 37905 | consumed samples: 6663680 | consumed tokens: 13647216640 | elapsed time per iteration (s): 0.23 | learning rate: 6.093E-05 | global batch size: 256 | lm loss: 2.893562E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.611 | TFLOPs: 28.09 | 7: iteration 26040/ 37905 | consumed samples: 6666240 | consumed tokens: 13652459520 | elapsed time per iteration (s): 0.24 | learning rate: 6.087E-05 | global batch size: 256 | lm loss: 2.844795E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.364 | TFLOPs: 27.57 | 7: iteration 26050/ 37905 | consumed samples: 6668800 | consumed tokens: 13657702400 | elapsed time per iteration (s): 0.23 | learning rate: 6.080E-05 | global batch size: 256 | lm loss: 2.860899E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.625 | TFLOPs: 27.86 | 7: iteration 26060/ 37905 | consumed samples: 6671360 | consumed tokens: 13662945280 | elapsed time per iteration (s): 0.23 | learning rate: 6.074E-05 | global batch size: 256 | lm loss: 2.899936E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.994 | TFLOPs: 28.38 | 7: iteration 26070/ 37905 | consumed samples: 6673920 | consumed tokens: 13668188160 | elapsed time per iteration (s): 0.23 | learning rate: 6.068E-05 | global batch size: 256 | lm loss: 2.855046E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.322 | TFLOPs: 28.16 | 7: iteration 26080/ 37905 | consumed samples: 6676480 | consumed tokens: 13673431040 | elapsed time per iteration (s): 0.23 | learning rate: 6.062E-05 | global batch size: 256 | lm loss: 2.864293E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.249 | TFLOPs: 28.23 | 7: iteration 26090/ 37905 | consumed samples: 6679040 | consumed tokens: 13678673920 | elapsed time per iteration (s): 0.24 | learning rate: 6.055E-05 | global batch size: 256 | lm loss: 2.842829E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.360 | TFLOPs: 27.60 | 7: iteration 26100/ 37905 | consumed samples: 6681600 | consumed tokens: 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| consumed samples: 6689280 | consumed tokens: 13699645440 | elapsed time per iteration (s): 0.24 | learning rate: 6.030E-05 | global batch size: 256 | lm loss: 2.857244E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.806 | TFLOPs: 27.41 | 7: iteration 26140/ 37905 | consumed samples: 6691840 | consumed tokens: 13704888320 | elapsed time per iteration (s): 0.24 | learning rate: 6.024E-05 | global batch size: 256 | lm loss: 2.851194E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1072.702 | TFLOPs: 27.33 | 7: iteration 26150/ 37905 | consumed samples: 6694400 | consumed tokens: 13710131200 | elapsed time per iteration (s): 0.24 | learning rate: 6.018E-05 | global batch size: 256 | lm loss: 2.842224E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.105 | TFLOPs: 27.62 | 7: iteration 26160/ 37905 | consumed samples: 6696960 | consumed tokens: 13715374080 | elapsed time per iteration (s): 0.23 | learning rate: 6.011E-05 | global batch size: 256 | lm loss: 2.821145E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.984 | TFLOPs: 28.15 | 7: iteration 26170/ 37905 | consumed samples: 6699520 | consumed tokens: 13720616960 | elapsed time per iteration (s): 0.23 | learning rate: 6.005E-05 | global batch size: 256 | lm loss: 2.851224E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.678 | TFLOPs: 27.86 | 7: iteration 26180/ 37905 | consumed samples: 6702080 | consumed tokens: 13725859840 | elapsed time per iteration (s): 0.24 | learning rate: 5.999E-05 | global batch size: 256 | lm loss: 2.851057E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.322 | TFLOPs: 27.65 | 7: iteration 26190/ 37905 | consumed samples: 6704640 | consumed tokens: 13731102720 | elapsed time per iteration (s): 0.23 | learning rate: 5.992E-05 | global batch size: 256 | lm loss: 2.856297E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.023 | TFLOPs: 28.00 | 7: iteration 26200/ 37905 | consumed samples: 6707200 | consumed tokens: 13736345600 | elapsed time per iteration (s): 0.23 | learning rate: 5.986E-05 | global batch size: 256 | lm loss: 2.870547E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.625 | TFLOPs: 28.42 | 7: iteration 26210/ 37905 | consumed samples: 6709760 | consumed tokens: 13741588480 | elapsed time per iteration (s): 0.25 | learning rate: 5.980E-05 | global batch size: 256 | lm loss: 2.869746E+00 | grad norm: 0.207 | num 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lm loss: 2.847255E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.124 | TFLOPs: 28.26 | 7: iteration 26250/ 37905 | consumed samples: 6720000 | consumed tokens: 13762560000 | elapsed time per iteration (s): 0.23 | learning rate: 5.955E-05 | global batch size: 256 | lm loss: 2.848318E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.455 | TFLOPs: 28.11 | 7: iteration 26260/ 37905 | consumed samples: 6722560 | consumed tokens: 13767802880 | elapsed time per iteration (s): 0.24 | learning rate: 5.949E-05 | global batch size: 256 | lm loss: 2.845276E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.612 | TFLOPs: 27.73 | 7: iteration 26270/ 37905 | consumed samples: 6725120 | consumed tokens: 13773045760 | elapsed time per iteration (s): 0.23 | learning rate: 5.943E-05 | global batch size: 256 | lm loss: 2.844981E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.240 | TFLOPs: 28.26 | 7: iteration 26280/ 37905 | consumed samples: 6727680 | consumed tokens: 13778288640 | elapsed time per iteration (s): 0.23 | learning rate: 5.936E-05 | global batch size: 256 | lm loss: 2.857642E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.951 | TFLOPs: 28.40 | 7: iteration 26290/ 37905 | consumed samples: 6730240 | consumed tokens: 13783531520 | elapsed time per iteration (s): 0.23 | learning rate: 5.930E-05 | global batch size: 256 | lm loss: 2.878222E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.098 | TFLOPs: 27.92 | 7: iteration 26300/ 37905 | consumed samples: 6732800 | consumed tokens: 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| consumed samples: 6740480 | consumed tokens: 13804503040 | elapsed time per iteration (s): 0.24 | learning rate: 5.905E-05 | global batch size: 256 | lm loss: 2.899329E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.739 | TFLOPs: 27.66 | 7: iteration 26340/ 37905 | consumed samples: 6743040 | consumed tokens: 13809745920 | elapsed time per iteration (s): 0.24 | learning rate: 5.899E-05 | global batch size: 256 | lm loss: 2.882167E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.301 | TFLOPs: 27.70 | 7: iteration 26350/ 37905 | consumed samples: 6745600 | consumed tokens: 13814988800 | elapsed time per iteration (s): 0.23 | learning rate: 5.893E-05 | global batch size: 256 | lm loss: 2.860711E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.038 | TFLOPs: 27.95 | 7: iteration 26360/ 37905 | consumed samples: 6748160 | consumed tokens: 13820231680 | elapsed time per iteration (s): 0.23 | learning rate: 5.887E-05 | global batch size: 256 | lm loss: 2.819921E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.388 | TFLOPs: 28.19 | 7: iteration 26370/ 37905 | consumed samples: 6750720 | consumed tokens: 13825474560 | elapsed time per iteration (s): 0.23 | learning rate: 5.880E-05 | global batch size: 256 | lm loss: 2.870605E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.575 | TFLOPs: 28.19 | 7: iteration 26380/ 37905 | consumed samples: 6753280 | consumed tokens: 13830717440 | elapsed time per iteration (s): 0.23 | learning rate: 5.874E-05 | global batch size: 256 | lm loss: 2.876406E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.249 | TFLOPs: 28.08 | 7: iteration 26390/ 37905 | consumed samples: 6755840 | consumed tokens: 13835960320 | elapsed time per iteration (s): 0.24 | learning rate: 5.868E-05 | global batch size: 256 | lm loss: 2.889240E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1057.971 | TFLOPs: 26.95 | 7: iteration 26400/ 37905 | consumed samples: 6758400 | consumed tokens: 13841203200 | elapsed time per iteration (s): 0.24 | learning rate: 5.862E-05 | global batch size: 256 | lm loss: 2.846903E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.752 | TFLOPs: 27.18 | 7: iteration 26410/ 37905 | consumed samples: 6760960 | consumed tokens: 13846446080 | elapsed time per iteration (s): 0.24 | learning rate: 5.856E-05 | global batch size: 256 | lm loss: 2.886025E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.202 | TFLOPs: 27.67 | 7: iteration 26420/ 37905 | consumed samples: 6763520 | consumed tokens: 13851688960 | elapsed time per iteration (s): 0.23 | learning rate: 5.849E-05 | global batch size: 256 | lm loss: 2.842868E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.570 | TFLOPs: 28.04 | 7: iteration 26430/ 37905 | consumed samples: 6766080 | consumed tokens: 13856931840 | elapsed time per iteration (s): 0.24 | learning rate: 5.843E-05 | global batch size: 256 | lm loss: 2.807652E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.530 | TFLOPs: 27.20 | 7: iteration 26440/ 37905 | consumed samples: 6768640 | consumed tokens: 13862174720 | elapsed time per iteration (s): 0.23 | learning rate: 5.837E-05 | global batch size: 256 | lm loss: 2.923719E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.137 | TFLOPs: 28.36 | 7: iteration 26450/ 37905 | consumed samples: 6771200 | consumed tokens: 13867417600 | elapsed time per iteration (s): 0.23 | learning rate: 5.831E-05 | global batch size: 256 | lm loss: 2.849170E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.409 | TFLOPs: 28.13 | 7: iteration 26460/ 37905 | consumed samples: 6773760 | consumed tokens: 13872660480 | elapsed time per iteration (s): 0.23 | learning rate: 5.825E-05 | global batch size: 256 | lm loss: 2.861172E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.232 | TFLOPs: 28.13 | 7: iteration 26470/ 37905 | consumed samples: 6776320 | consumed tokens: 13877903360 | elapsed time per iteration (s): 0.24 | learning rate: 5.819E-05 | global batch size: 256 | lm loss: 2.847287E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.925 | TFLOPs: 27.56 | 7: iteration 26480/ 37905 | consumed samples: 6778880 | consumed tokens: 13883146240 | elapsed time per iteration (s): 0.24 | learning rate: 5.812E-05 | global batch size: 256 | lm loss: 2.849074E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.311 | TFLOPs: 27.60 | 7: iteration 26490/ 37905 | consumed samples: 6781440 | consumed tokens: 13888389120 | elapsed time per iteration (s): 0.24 | learning rate: 5.806E-05 | global batch size: 256 | lm loss: 2.841227E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.757 | TFLOPs: 27.56 | 7: iteration 26500/ 37905 | consumed samples: 6784000 | consumed tokens: 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| consumed samples: 6791680 | consumed tokens: 13909360640 | elapsed time per iteration (s): 0.23 | learning rate: 5.782E-05 | global batch size: 256 | lm loss: 2.864306E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.666 | TFLOPs: 28.22 | 7: iteration 26540/ 37905 | consumed samples: 6794240 | consumed tokens: 13914603520 | elapsed time per iteration (s): 0.23 | learning rate: 5.776E-05 | global batch size: 256 | lm loss: 2.840488E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.036 | TFLOPs: 28.35 | 7: iteration 26550/ 37905 | consumed samples: 6796800 | consumed tokens: 13919846400 | elapsed time per iteration (s): 0.23 | learning rate: 5.769E-05 | global batch size: 256 | lm loss: 2.881666E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.215 | TFLOPs: 28.61 | 7: iteration 26560/ 37905 | consumed samples: 6799360 | consumed tokens: 13925089280 | elapsed time per iteration (s): 0.23 | learning rate: 5.763E-05 | global batch size: 256 | lm loss: 2.859559E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.295 | TFLOPs: 28.16 | 7: iteration 26570/ 37905 | consumed samples: 6801920 | consumed tokens: 13930332160 | elapsed time per iteration (s): 0.23 | learning rate: 5.757E-05 | global batch size: 256 | lm loss: 2.821613E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.899 | TFLOPs: 28.35 | 7: iteration 26580/ 37905 | consumed samples: 6804480 | consumed tokens: 13935575040 | elapsed time per iteration (s): 0.23 | learning rate: 5.751E-05 | global batch size: 256 | lm loss: 2.869676E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.298 | TFLOPs: 27.98 | 7: iteration 26590/ 37905 | consumed samples: 6807040 | consumed tokens: 13940817920 | elapsed time per iteration (s): 0.23 | learning rate: 5.745E-05 | global batch size: 256 | lm loss: 2.839699E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.466 | TFLOPs: 28.11 | 7: iteration 26600/ 37905 | consumed samples: 6809600 | consumed tokens: 13946060800 | elapsed time per iteration (s): 0.25 | learning rate: 5.739E-05 | global batch size: 256 | lm loss: 2.861105E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1021.040 | TFLOPs: 26.01 | 7: iteration 26610/ 37905 | consumed samples: 6812160 | consumed tokens: 13951303680 | elapsed time per iteration (s): 0.23 | learning rate: 5.733E-05 | global batch size: 256 | lm loss: 2.856552E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.725 | TFLOPs: 28.24 | 7: iteration 26620/ 37905 | consumed samples: 6814720 | consumed tokens: 13956546560 | elapsed time per iteration (s): 0.23 | learning rate: 5.727E-05 | global batch size: 256 | lm loss: 2.862993E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.558 | TFLOPs: 28.04 | 7: iteration 26630/ 37905 | consumed samples: 6817280 | consumed tokens: 13961789440 | elapsed time per iteration (s): 0.23 | learning rate: 5.720E-05 | global batch size: 256 | lm loss: 2.857882E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.698 | TFLOPs: 28.24 | 7: iteration 26640/ 37905 | consumed samples: 6819840 | consumed tokens: 13967032320 | elapsed time per iteration (s): 0.23 | learning rate: 5.714E-05 | global batch size: 256 | lm loss: 2.871005E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.375 | TFLOPs: 28.24 | 7: iteration 26650/ 37905 | consumed samples: 6822400 | consumed tokens: 13972275200 | elapsed time per iteration (s): 0.23 | learning rate: 5.708E-05 | global batch size: 256 | lm loss: 2.848403E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.729 | TFLOPs: 27.94 | 7: iteration 26660/ 37905 | consumed samples: 6824960 | consumed tokens: 13977518080 | elapsed time per iteration (s): 0.25 | learning rate: 5.702E-05 | global batch size: 256 | lm loss: 2.836609E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1039.649 | TFLOPs: 26.49 | 7: iteration 26670/ 37905 | consumed samples: 6827520 | consumed tokens: 13982760960 | elapsed time per iteration (s): 0.23 | learning rate: 5.696E-05 | global batch size: 256 | lm loss: 2.880375E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.371 | TFLOPs: 28.11 | 7: iteration 26680/ 37905 | consumed samples: 6830080 | consumed tokens: 13988003840 | elapsed time per iteration (s): 0.23 | learning rate: 5.690E-05 | global batch size: 256 | lm loss: 2.895158E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.525 | TFLOPs: 27.99 | 7: iteration 26690/ 37905 | consumed samples: 6832640 | consumed tokens: 13993246720 | elapsed time per iteration (s): 0.23 | learning rate: 5.684E-05 | global batch size: 256 | lm loss: 2.834076E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.113 | TFLOPs: 28.43 | 7: iteration 26700/ 37905 | consumed samples: 6835200 | consumed tokens: 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| consumed samples: 6894080 | consumed tokens: 14119075840 | elapsed time per iteration (s): 0.23 | learning rate: 5.539E-05 | global batch size: 256 | lm loss: 2.866029E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.725 | TFLOPs: 27.96 | 7: iteration 26940/ 37905 | consumed samples: 6896640 | consumed tokens: 14124318720 | elapsed time per iteration (s): 0.23 | learning rate: 5.533E-05 | global batch size: 256 | lm loss: 2.851902E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.889 | TFLOPs: 27.92 | 7: iteration 26950/ 37905 | consumed samples: 6899200 | consumed tokens: 14129561600 | elapsed time per iteration (s): 0.23 | learning rate: 5.527E-05 | global batch size: 256 | lm loss: 2.856759E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.102 | TFLOPs: 27.85 | 7: iteration 26960/ 37905 | consumed samples: 6901760 | consumed tokens: 14134804480 | elapsed time per iteration (s): 0.24 | learning rate: 5.521E-05 | global batch size: 256 | lm loss: 2.846729E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.296 | TFLOPs: 27.70 | 7: iteration 26970/ 37905 | consumed samples: 6904320 | consumed tokens: 14140047360 | elapsed time per iteration (s): 0.23 | learning rate: 5.515E-05 | global batch size: 256 | lm loss: 2.834349E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.734 | TFLOPs: 28.35 | 7: iteration 26980/ 37905 | consumed samples: 6906880 | consumed tokens: 14145290240 | elapsed time per iteration (s): 0.23 | learning rate: 5.509E-05 | global batch size: 256 | lm loss: 2.859405E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.858 | TFLOPs: 27.76 | 7: iteration 26990/ 37905 | consumed samples: 6909440 | consumed tokens: 14150533120 | elapsed time per iteration (s): 0.23 | learning rate: 5.503E-05 | global batch size: 256 | lm loss: 2.878400E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.885 | TFLOPs: 28.63 | 7: iteration 27000/ 37905 | consumed samples: 6912000 | consumed tokens: 14155776000 | elapsed time per iteration (s): 0.23 | learning rate: 5.497E-05 | global batch size: 256 | lm loss: 2.858737E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.157 | TFLOPs: 27.87 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 27000 | lm loss value: 2.769493E+00 | lm loss PPL: 1.595054E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 27000 to checkpoints_83mwarmup 0: [2022-11-24 19:13:12,702] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step27000 is begin to save! 0: [2022-11-24 19:13:12,706] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step27000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:13:12,776] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step27000/layer_01-model_00-model_states.pt. 0: [2022-11-24 19:13:12,777] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step27000/layer_03-model_00-model_states.pt... 0: [2022-11-24 19:13:12,788] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step27000/layer_03-model_00-model_states.pt. 0: [2022-11-24 19:13:12,788] [INFO] 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[Torch] Saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-24 19:13:12,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-24 19:13:12,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-24 19:13:12,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-24 19:13:12,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-24 19:13:12,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-24 19:13:12,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now! 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now! 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now! 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now! 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now! 7: [2022-11-24 19:13:12,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-24 19:13:12,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step27000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now! 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now! 7: [2022-11-24 19:13:12,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now! 0: successfully saved checkpoint at iteration 27000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 289.20 7: iteration 27010/ 37905 | consumed samples: 6914560 | consumed tokens: 14161018880 | elapsed time per iteration (s): 0.27 | learning rate: 5.491E-05 | global batch size: 256 | lm loss: 2.863829E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 955.648 | TFLOPs: 24.35 | 7: iteration 27020/ 37905 | consumed samples: 6917120 | consumed tokens: 14166261760 | elapsed time per iteration (s): 0.23 | learning rate: 5.485E-05 | global batch size: 256 | lm loss: 2.828421E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.146 | TFLOPs: 28.05 | 7: iteration 27030/ 37905 | consumed samples: 6919680 | consumed tokens: 14171504640 | elapsed time per iteration (s): 0.24 | learning rate: 5.479E-05 | global batch size: 256 | lm loss: 2.832956E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.151 | TFLOPs: 27.72 | 7: iteration 27040/ 37905 | consumed samples: 6922240 | consumed tokens: 14176747520 | elapsed time per iteration (s): 0.23 | learning rate: 5.473E-05 | global batch size: 256 | lm loss: 2.837989E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.226 | TFLOPs: 28.00 | 7: iteration 27050/ 37905 | consumed samples: 6924800 | consumed tokens: 14181990400 | elapsed time per iteration (s): 0.23 | learning rate: 5.467E-05 | global batch size: 256 | lm loss: 2.896561E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.177 | TFLOPs: 27.85 | 7: iteration 27060/ 37905 | consumed samples: 6927360 | consumed tokens: 14187233280 | elapsed time per iteration (s): 0.24 | learning rate: 5.462E-05 | global batch size: 256 | lm loss: 2.874574E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.507 | TFLOPs: 27.70 | 7: iteration 27070/ 37905 | consumed samples: 6929920 | consumed tokens: 14192476160 | elapsed time per iteration (s): 0.23 | learning rate: 5.456E-05 | global batch size: 256 | lm loss: 2.852828E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.175 | TFLOPs: 27.77 | 7: iteration 27080/ 37905 | consumed samples: 6932480 | consumed tokens: 14197719040 | elapsed time per iteration (s): 0.24 | learning rate: 5.450E-05 | global batch size: 256 | lm loss: 2.843339E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1063.065 | TFLOPs: 27.08 | 7: iteration 27090/ 37905 | consumed samples: 6935040 | consumed tokens: 14202961920 | elapsed time per iteration (s): 0.23 | learning rate: 5.444E-05 | global batch size: 256 | lm loss: 2.859461E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.391 | TFLOPs: 28.19 | 7: iteration 27100/ 37905 | consumed samples: 6937600 | consumed tokens: 14208204800 | elapsed time per iteration (s): 0.23 | learning rate: 5.438E-05 | global batch size: 256 | lm loss: 2.842338E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.008 | TFLOPs: 27.95 | 7: iteration 27110/ 37905 | consumed samples: 6940160 | consumed tokens: 14213447680 | elapsed time per iteration (s): 0.23 | learning rate: 5.432E-05 | global batch size: 256 | lm loss: 2.877597E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.391 | TFLOPs: 28.08 | 7: iteration 27120/ 37905 | consumed samples: 6942720 | consumed tokens: 14218690560 | elapsed time per iteration (s): 0.23 | learning rate: 5.426E-05 | global batch size: 256 | lm loss: 2.842078E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.496 | TFLOPs: 27.88 | 7: iteration 27130/ 37905 | consumed samples: 6945280 | consumed tokens: 14223933440 | elapsed time per iteration (s): 0.25 | learning rate: 5.420E-05 | global batch size: 256 | lm loss: 2.871727E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1034.560 | TFLOPs: 26.36 | 7: iteration 27140/ 37905 | consumed samples: 6947840 | consumed tokens: 14229176320 | elapsed time per iteration (s): 0.25 | learning rate: 5.414E-05 | global batch size: 256 | lm loss: 2.820497E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1026.187 | TFLOPs: 26.14 | 7: iteration 27150/ 37905 | consumed samples: 6950400 | consumed tokens: 14234419200 | elapsed time per iteration (s): 0.23 | learning rate: 5.408E-05 | global batch size: 256 | lm loss: 2.847578E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.940 | TFLOPs: 27.77 | 7: iteration 27160/ 37905 | consumed samples: 6952960 | consumed tokens: 14239662080 | elapsed time per iteration (s): 0.24 | learning rate: 5.402E-05 | global batch size: 256 | lm loss: 2.879522E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.787 | TFLOPs: 27.58 | 7: iteration 27170/ 37905 | consumed samples: 6955520 | consumed tokens: 14244904960 | elapsed time per iteration (s): 0.23 | learning rate: 5.396E-05 | global batch size: 256 | lm loss: 2.849854E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.187 | TFLOPs: 28.13 | 7: iteration 27180/ 37905 | consumed samples: 6958080 | consumed tokens: 14250147840 | elapsed time per iteration (s): 0.24 | learning rate: 5.391E-05 | global batch size: 256 | lm loss: 2.848459E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.972 | TFLOPs: 27.61 | 7: iteration 27190/ 37905 | consumed samples: 6960640 | consumed tokens: 14255390720 | elapsed time per iteration (s): 0.23 | learning rate: 5.385E-05 | global batch size: 256 | lm loss: 2.867059E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.213 | TFLOPs: 28.00 | 7: iteration 27200/ 37905 | consumed samples: 6963200 | consumed tokens: 14260633600 | elapsed time per iteration (s): 0.23 | learning rate: 5.379E-05 | global batch size: 256 | lm loss: 2.860754E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.709 | TFLOPs: 27.81 | 7: iteration 27210/ 37905 | consumed samples: 6965760 | consumed tokens: 14265876480 | elapsed time per iteration (s): 0.23 | learning rate: 5.373E-05 | global batch size: 256 | lm loss: 2.858817E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.885 | TFLOPs: 28.05 | 7: iteration 27220/ 37905 | consumed samples: 6968320 | consumed tokens: 14271119360 | elapsed time per iteration (s): 0.25 | learning rate: 5.367E-05 | global batch size: 256 | lm loss: 2.857619E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1021.344 | TFLOPs: 26.02 | 7: iteration 27230/ 37905 | consumed samples: 6970880 | consumed tokens: 14276362240 | elapsed time per iteration (s): 0.25 | learning rate: 5.361E-05 | global batch size: 256 | lm loss: 2.859952E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1033.543 | TFLOPs: 26.33 | 7: iteration 27240/ 37905 | consumed samples: 6973440 | consumed tokens: 14281605120 | elapsed time per iteration (s): 0.26 | learning rate: 5.355E-05 | global batch size: 256 | lm loss: 2.828195E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 991.829 | TFLOPs: 25.27 | 7: iteration 27250/ 37905 | consumed samples: 6976000 | consumed tokens: 14286848000 | elapsed time per iteration (s): 0.23 | learning rate: 5.349E-05 | global batch size: 256 | lm loss: 2.854087E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.960 | TFLOPs: 28.38 | 7: iteration 27260/ 37905 | consumed samples: 6978560 | consumed tokens: 14292090880 | elapsed time per iteration (s): 0.24 | learning rate: 5.344E-05 | global batch size: 256 | lm loss: 2.840909E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.879 | TFLOPs: 27.69 | 7: iteration 27270/ 37905 | consumed samples: 6981120 | consumed tokens: 14297333760 | elapsed time per iteration (s): 0.23 | learning rate: 5.338E-05 | global batch size: 256 | lm loss: 2.832752E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.038 | TFLOPs: 28.15 | 7: iteration 27280/ 37905 | consumed samples: 6983680 | consumed tokens: 14302576640 | elapsed time per iteration (s): 0.24 | learning rate: 5.332E-05 | global batch size: 256 | lm loss: 2.857324E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.325 | TFLOPs: 27.47 | 7: iteration 27290/ 37905 | consumed samples: 6986240 | consumed tokens: 14307819520 | elapsed time per iteration (s): 0.24 | learning rate: 5.326E-05 | global batch size: 256 | lm loss: 2.862492E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1049.760 | TFLOPs: 26.74 | 7: iteration 27300/ 37905 | consumed samples: 6988800 | consumed tokens: 14313062400 | elapsed time per iteration (s): 0.23 | learning rate: 5.320E-05 | global batch size: 256 | lm loss: 2.864863E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.750 | TFLOPs: 28.25 | 7: iteration 27310/ 37905 | consumed samples: 6991360 | consumed tokens: 14318305280 | elapsed time per iteration (s): 0.23 | learning rate: 5.314E-05 | global batch size: 256 | lm loss: 2.867266E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.058 | TFLOPs: 28.00 | 7: iteration 27320/ 37905 | consumed samples: 6993920 | consumed tokens: 14323548160 | elapsed time per iteration (s): 0.23 | learning rate: 5.308E-05 | global batch size: 256 | lm loss: 2.865320E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.978 | TFLOPs: 27.87 | 7: iteration 27330/ 37905 | consumed samples: 6996480 | consumed tokens: 14328791040 | elapsed time per iteration (s): 0.23 | learning rate: 5.303E-05 | global batch size: 256 | lm loss: 2.853827E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.247 | TFLOPs: 28.11 | 7: iteration 27340/ 37905 | consumed samples: 6999040 | consumed tokens: 14334033920 | elapsed time per iteration (s): 0.23 | learning rate: 5.297E-05 | global batch size: 256 | lm loss: 2.849108E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.821 | TFLOPs: 28.15 | 7: iteration 27350/ 37905 | consumed samples: 7001600 | consumed tokens: 14339276800 | elapsed time per iteration (s): 0.24 | learning rate: 5.291E-05 | global batch size: 256 | lm loss: 2.846381E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.552 | TFLOPs: 27.63 | 7: iteration 27360/ 37905 | consumed samples: 7004160 | consumed tokens: 14344519680 | elapsed time per iteration (s): 0.24 | learning rate: 5.285E-05 | global batch size: 256 | lm loss: 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5.268E-05 | global batch size: 256 | lm loss: 2.859950E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.359 | TFLOPs: 27.47 | 7: iteration 27400/ 37905 | consumed samples: 7014400 | consumed tokens: 14365491200 | elapsed time per iteration (s): 0.23 | learning rate: 5.262E-05 | global batch size: 256 | lm loss: 2.834485E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.744 | TFLOPs: 28.42 | 7: iteration 27410/ 37905 | consumed samples: 7016960 | consumed tokens: 14370734080 | elapsed time per iteration (s): 0.23 | learning rate: 5.256E-05 | global batch size: 256 | lm loss: 2.849522E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.974 | TFLOPs: 27.79 | 7: iteration 27420/ 37905 | consumed samples: 7019520 | consumed tokens: 14375976960 | elapsed time per iteration (s): 0.25 | learning rate: 5.250E-05 | global batch size: 256 | lm loss: 2.871901E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1013.018 | TFLOPs: 25.81 | 7: iteration 27430/ 37905 | consumed samples: 7022080 | consumed tokens: 14381219840 | elapsed time per iteration (s): 0.23 | learning rate: 5.245E-05 | global batch size: 256 | lm loss: 2.872247E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.807 | TFLOPs: 28.04 | 7: iteration 27440/ 37905 | consumed samples: 7024640 | consumed tokens: 14386462720 | elapsed time per iteration (s): 0.23 | learning rate: 5.239E-05 | global batch size: 256 | lm loss: 2.860160E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.808 | TFLOPs: 27.89 | 7: iteration 27450/ 37905 | consumed samples: 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7: iteration 27480/ 37905 | consumed samples: 7034880 | consumed tokens: 14407434240 | elapsed time per iteration (s): 0.25 | learning rate: 5.216E-05 | global batch size: 256 | lm loss: 2.846285E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1037.992 | TFLOPs: 26.44 | 7: iteration 27490/ 37905 | consumed samples: 7037440 | consumed tokens: 14412677120 | elapsed time per iteration (s): 0.23 | learning rate: 5.210E-05 | global batch size: 256 | lm loss: 2.866761E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.775 | TFLOPs: 27.99 | 7: iteration 27500/ 37905 | consumed samples: 7040000 | consumed tokens: 14417920000 | elapsed time per iteration (s): 0.24 | learning rate: 5.204E-05 | global batch size: 256 | lm loss: 2.875479E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.337 | TFLOPs: 27.70 | 7: iteration 27510/ 37905 | consumed samples: 7042560 | consumed tokens: 14423162880 | elapsed time per iteration (s): 0.23 | learning rate: 5.198E-05 | global batch size: 256 | lm loss: 2.879397E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.651 | TFLOPs: 28.37 | 7: iteration 27520/ 37905 | consumed samples: 7045120 | consumed tokens: 14428405760 | elapsed time per iteration (s): 0.23 | learning rate: 5.193E-05 | global batch size: 256 | lm loss: 2.836096E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.196 | TFLOPs: 27.80 | 7: iteration 27530/ 37905 | consumed samples: 7047680 | consumed tokens: 14433648640 | elapsed time per iteration (s): 0.24 | learning rate: 5.187E-05 | global batch size: 256 | lm loss: 2.864809E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped 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norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.721 | TFLOPs: 28.02 | 7: iteration 27570/ 37905 | consumed samples: 7057920 | consumed tokens: 14454620160 | elapsed time per iteration (s): 0.23 | learning rate: 5.164E-05 | global batch size: 256 | lm loss: 2.844603E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.642 | TFLOPs: 27.86 | 7: iteration 27580/ 37905 | consumed samples: 7060480 | consumed tokens: 14459863040 | elapsed time per iteration (s): 0.24 | learning rate: 5.158E-05 | global batch size: 256 | lm loss: 2.859122E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.547 | TFLOPs: 27.40 | 7: iteration 27590/ 37905 | consumed samples: 7063040 | consumed tokens: 14465105920 | elapsed time per iteration (s): 0.23 | learning rate: 5.152E-05 | global 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(s): 0.24 | learning rate: 5.135E-05 | global batch size: 256 | lm loss: 2.853227E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.213 | TFLOPs: 27.42 | 7: iteration 27630/ 37905 | consumed samples: 7073280 | consumed tokens: 14486077440 | elapsed time per iteration (s): 0.24 | learning rate: 5.129E-05 | global batch size: 256 | lm loss: 2.870571E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.577 | TFLOPs: 27.48 | 7: iteration 27640/ 37905 | consumed samples: 7075840 | consumed tokens: 14491320320 | elapsed time per iteration (s): 0.23 | learning rate: 5.124E-05 | global batch size: 256 | lm loss: 2.862881E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.940 | TFLOPs: 28.25 | 7: iteration 27650/ 37905 | consumed samples: 7078400 | consumed 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second: 1087.668 | TFLOPs: 27.71 | 7: iteration 27710/ 37905 | consumed samples: 7093760 | consumed tokens: 14528020480 | elapsed time per iteration (s): 0.24 | learning rate: 5.084E-05 | global batch size: 256 | lm loss: 2.892101E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1072.193 | TFLOPs: 27.31 | 7: iteration 27720/ 37905 | consumed samples: 7096320 | consumed tokens: 14533263360 | elapsed time per iteration (s): 0.24 | learning rate: 5.078E-05 | global batch size: 256 | lm loss: 2.875208E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.447 | TFLOPs: 27.45 | 7: iteration 27730/ 37905 | consumed samples: 7098880 | consumed tokens: 14538506240 | elapsed time per iteration (s): 0.24 | learning rate: 5.073E-05 | global batch size: 256 | lm loss: 2.861647E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1074.220 | TFLOPs: 27.37 | 7: iteration 27740/ 37905 | consumed samples: 7101440 | consumed tokens: 14543749120 | elapsed time per iteration (s): 0.24 | learning rate: 5.067E-05 | global batch size: 256 | lm loss: 2.859593E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1045.637 | TFLOPs: 26.64 | 7: iteration 27750/ 37905 | consumed samples: 7104000 | consumed tokens: 14548992000 | elapsed time per iteration (s): 0.24 | learning rate: 5.061E-05 | global batch size: 256 | lm loss: 2.881564E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.426 | TFLOPs: 27.57 | 7: iteration 27760/ 37905 | consumed samples: 7106560 | consumed tokens: 14554234880 | elapsed time per iteration (s): 0.23 | learning rate: 5.056E-05 | global batch size: 256 | lm loss: 2.865819E+00 | grad norm: 0.214 | 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256 | lm loss: 2.846969E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.453 | TFLOPs: 27.75 | 7: iteration 27800/ 37905 | consumed samples: 7116800 | consumed tokens: 14575206400 | elapsed time per iteration (s): 0.24 | learning rate: 5.033E-05 | global batch size: 256 | lm loss: 2.848656E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.137 | TFLOPs: 27.69 | 7: iteration 27810/ 37905 | consumed samples: 7119360 | consumed tokens: 14580449280 | elapsed time per iteration (s): 0.23 | learning rate: 5.027E-05 | global batch size: 256 | lm loss: 2.837143E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.723 | TFLOPs: 28.12 | 7: iteration 27820/ 37905 | consumed samples: 7121920 | consumed tokens: 14585692160 | elapsed time per iteration (s): 0.23 | learning rate: 5.022E-05 | global batch size: 256 | lm loss: 2.843822E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.407 | TFLOPs: 27.93 | 7: iteration 27830/ 37905 | consumed samples: 7124480 | consumed tokens: 14590935040 | elapsed time per iteration (s): 0.23 | learning rate: 5.016E-05 | global batch size: 256 | lm loss: 2.869256E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.229 | TFLOPs: 27.98 | 7: iteration 27840/ 37905 | consumed samples: 7127040 | consumed tokens: 14596177920 | elapsed time per iteration (s): 0.23 | learning rate: 5.010E-05 | global batch size: 256 | lm loss: 2.879470E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.650 | TFLOPs: 27.96 | 7: iteration 27850/ 37905 | consumed samples: 7129600 | consumed tokens: 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| consumed samples: 7137280 | consumed tokens: 14617149440 | elapsed time per iteration (s): 0.24 | learning rate: 4.988E-05 | global batch size: 256 | lm loss: 2.889787E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.561 | TFLOPs: 27.73 | 7: iteration 27890/ 37905 | consumed samples: 7139840 | consumed tokens: 14622392320 | elapsed time per iteration (s): 0.24 | learning rate: 4.982E-05 | global batch size: 256 | lm loss: 2.836672E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.259 | TFLOPs: 27.49 | 7: iteration 27900/ 37905 | consumed samples: 7142400 | consumed tokens: 14627635200 | elapsed time per iteration (s): 0.24 | learning rate: 4.977E-05 | global batch size: 256 | lm loss: 2.808942E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.015 | TFLOPs: 27.46 | 7: iteration 27910/ 37905 | consumed samples: 7144960 | consumed tokens: 14632878080 | elapsed time per iteration (s): 0.23 | learning rate: 4.971E-05 | global batch size: 256 | lm loss: 2.848698E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.488 | TFLOPs: 28.16 | 7: iteration 27920/ 37905 | consumed samples: 7147520 | consumed tokens: 14638120960 | elapsed time per iteration (s): 0.23 | learning rate: 4.966E-05 | global batch size: 256 | lm loss: 2.828808E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.924 | TFLOPs: 28.12 | 7: iteration 27930/ 37905 | consumed samples: 7150080 | consumed tokens: 14643363840 | elapsed time per iteration (s): 0.24 | learning rate: 4.960E-05 | global batch size: 256 | lm loss: 2.843225E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1072.486 | TFLOPs: 27.32 | 7: iteration 27940/ 37905 | consumed samples: 7152640 | consumed tokens: 14648606720 | elapsed time per iteration (s): 0.23 | learning rate: 4.954E-05 | global batch size: 256 | lm loss: 2.902282E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.683 | TFLOPs: 27.94 | 7: iteration 27950/ 37905 | consumed samples: 7155200 | consumed tokens: 14653849600 | elapsed time per iteration (s): 0.23 | learning rate: 4.949E-05 | global batch size: 256 | lm loss: 2.861200E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.889 | TFLOPs: 27.97 | 7: iteration 27960/ 37905 | consumed samples: 7157760 | consumed tokens: 14659092480 | elapsed time per iteration (s): 0.23 | learning rate: 4.943E-05 | global batch size: 256 | lm loss: 2.848547E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.916 | TFLOPs: 27.94 | 7: iteration 27970/ 37905 | consumed samples: 7160320 | consumed tokens: 14664335360 | elapsed time per iteration (s): 0.24 | learning rate: 4.938E-05 | global batch size: 256 | lm loss: 2.855974E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.977 | TFLOPs: 27.69 | 7: iteration 27980/ 37905 | consumed samples: 7162880 | consumed tokens: 14669578240 | elapsed time per iteration (s): 0.23 | learning rate: 4.932E-05 | global batch size: 256 | lm loss: 2.865647E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.246 | TFLOPs: 27.90 | 7: iteration 27990/ 37905 | consumed samples: 7165440 | consumed tokens: 14674821120 | elapsed time per iteration (s): 0.24 | learning rate: 4.927E-05 | global batch size: 256 | lm loss: 2.853851E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.881 | TFLOPs: 27.66 | 0: [2022-11-24 19:17:09,189] [INFO] [logging.py:68:log_dist] [Rank 0] step=28000, skipped=0, lr=[4.9210099955882125e-05, 4.9210099955882125e-05, 4.9210099955882125e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 28000/ 37905 | consumed samples: 7168000 | consumed tokens: 14680064000 | elapsed time per iteration (s): 0.24 | learning rate: 4.921E-05 | global batch size: 256 | lm loss: 2.851892E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.885 | TFLOPs: 27.71 | 0: steps: 28000 loss: 2.9137 iter time (s): 0.235 samples/sec: 1091.089 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 28000 | lm loss value: 2.818010E+00 | lm loss PPL: 1.674350E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 28000 to checkpoints_83mwarmup 0: [2022-11-24 19:17:09,279] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step28000 is begin to save! 0: [2022-11-24 19:17:09,283] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step28000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:17:09,354] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step28000/layer_01-model_00-model_states.pt. 0: [2022-11-24 19:17:09,354] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step28000/layer_03-model_00-model_states.pt... 0: [2022-11-24 19:17:09,366] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step28000/layer_03-model_00-model_states.pt. 0: [2022-11-24 19:17:09,367] [INFO] 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rate: 4.910E-05 | global batch size: 256 | lm loss: 2.813029E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.774 | TFLOPs: 28.04 | 7: iteration 28030/ 37905 | consumed samples: 7175680 | consumed tokens: 14695792640 | elapsed time per iteration (s): 0.24 | learning rate: 4.904E-05 | global batch size: 256 | lm loss: 2.869771E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.703 | TFLOPs: 27.17 | 7: iteration 28040/ 37905 | consumed samples: 7178240 | consumed tokens: 14701035520 | elapsed time per iteration (s): 0.23 | learning rate: 4.899E-05 | global batch size: 256 | lm loss: 2.861531E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.462 | TFLOPs: 28.19 | 7: iteration 28050/ 37905 | consumed samples: 7180800 | consumed tokens: 14706278400 | elapsed time per iteration (s): 0.23 | learning rate: 4.893E-05 | global batch size: 256 | lm loss: 2.829770E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.877 | TFLOPs: 28.12 | 7: iteration 28060/ 37905 | consumed samples: 7183360 | consumed tokens: 14711521280 | elapsed time per iteration (s): 0.25 | learning rate: 4.888E-05 | global batch size: 256 | lm loss: 2.843973E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1019.677 | TFLOPs: 25.98 | 7: iteration 28070/ 37905 | consumed samples: 7185920 | consumed tokens: 14716764160 | elapsed time per iteration (s): 0.23 | learning rate: 4.882E-05 | global batch size: 256 | lm loss: 2.890871E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.122 | TFLOPs: 28.13 | 7: iteration 28080/ 37905 | consumed 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iterations: 0 | samples per second: 1089.951 | TFLOPs: 27.77 | 7: iteration 28140/ 37905 | consumed samples: 7203840 | consumed tokens: 14753464320 | elapsed time per iteration (s): 0.24 | learning rate: 4.844E-05 | global batch size: 256 | lm loss: 2.872199E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.941 | TFLOPs: 27.61 | 7: iteration 28150/ 37905 | consumed samples: 7206400 | consumed tokens: 14758707200 | elapsed time per iteration (s): 0.24 | learning rate: 4.838E-05 | global batch size: 256 | lm loss: 2.866700E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1060.219 | TFLOPs: 27.01 | 7: iteration 28160/ 37905 | consumed samples: 7208960 | consumed tokens: 14763950080 | elapsed time per iteration (s): 0.24 | learning rate: 4.833E-05 | global batch size: 256 | lm loss: 2.826440E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1071.933 | TFLOPs: 27.31 | 7: iteration 28170/ 37905 | consumed samples: 7211520 | consumed tokens: 14769192960 | elapsed time per iteration (s): 0.24 | learning rate: 4.827E-05 | global batch size: 256 | lm loss: 2.851019E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.710 | TFLOPs: 27.40 | 7: iteration 28180/ 37905 | consumed samples: 7214080 | consumed tokens: 14774435840 | elapsed time per iteration (s): 0.23 | learning rate: 4.822E-05 | global batch size: 256 | lm loss: 2.829334E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.123 | TFLOPs: 27.95 | 7: iteration 28190/ 37905 | consumed samples: 7216640 | consumed tokens: 14779678720 | elapsed time per iteration (s): 0.24 | learning rate: 4.816E-05 | global batch size: 256 | lm loss: 2.857921E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1072.608 | TFLOPs: 27.32 | 7: iteration 28200/ 37905 | consumed samples: 7219200 | consumed tokens: 14784921600 | elapsed time per iteration (s): 0.24 | learning rate: 4.811E-05 | global batch size: 256 | lm loss: 2.816622E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.930 | TFLOPs: 27.41 | 7: iteration 28210/ 37905 | consumed samples: 7221760 | consumed tokens: 14790164480 | elapsed time per iteration (s): 0.24 | learning rate: 4.805E-05 | global batch size: 256 | lm loss: 2.835876E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.616 | TFLOPs: 27.61 | 7: iteration 28220/ 37905 | consumed samples: 7224320 | consumed tokens: 14795407360 | elapsed time per iteration (s): 0.24 | learning rate: 4.800E-05 | global batch size: 256 | lm loss: 2.872158E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.967 | TFLOPs: 27.49 | 7: iteration 28230/ 37905 | consumed samples: 7226880 | consumed tokens: 14800650240 | elapsed time per iteration (s): 0.23 | learning rate: 4.794E-05 | global batch size: 256 | lm loss: 2.833662E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.890 | TFLOPs: 28.05 | 7: iteration 28240/ 37905 | consumed samples: 7229440 | consumed tokens: 14805893120 | elapsed time per iteration (s): 0.23 | learning rate: 4.789E-05 | global batch size: 256 | lm loss: 2.846919E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.021 | TFLOPs: 28.10 | 7: iteration 28250/ 37905 | consumed samples: 7232000 | consumed tokens: 14811136000 | elapsed 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7: iteration 28310/ 37905 | consumed samples: 7247360 | consumed tokens: 14842593280 | elapsed time per iteration (s): 0.23 | learning rate: 4.751E-05 | global batch size: 256 | lm loss: 2.884129E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.835 | TFLOPs: 27.89 | 7: iteration 28320/ 37905 | consumed samples: 7249920 | consumed tokens: 14847836160 | elapsed time per iteration (s): 0.23 | learning rate: 4.745E-05 | global batch size: 256 | lm loss: 2.921039E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.794 | TFLOPs: 27.81 | 7: iteration 28330/ 37905 | consumed samples: 7252480 | consumed tokens: 14853079040 | elapsed time per iteration (s): 0.23 | learning rate: 4.740E-05 | global batch size: 256 | lm loss: 2.883129E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.008 | TFLOPs: 28.12 | 7: iteration 28340/ 37905 | consumed samples: 7255040 | consumed tokens: 14858321920 | elapsed time per iteration (s): 0.23 | learning rate: 4.735E-05 | global batch size: 256 | lm loss: 2.857808E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.965 | TFLOPs: 28.45 | 7: iteration 28350/ 37905 | consumed samples: 7257600 | consumed tokens: 14863564800 | elapsed time per iteration (s): 0.24 | learning rate: 4.729E-05 | global batch size: 256 | lm loss: 2.838047E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1061.963 | TFLOPs: 27.05 | 7: iteration 28360/ 37905 | consumed samples: 7260160 | consumed tokens: 14868807680 | elapsed time per iteration (s): 0.23 | learning rate: 4.724E-05 | global batch size: 256 | lm loss: 2.866847E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.198 | TFLOPs: 28.08 | 7: iteration 28370/ 37905 | consumed samples: 7262720 | consumed tokens: 14874050560 | elapsed time per iteration (s): 0.23 | learning rate: 4.718E-05 | global batch size: 256 | lm loss: 2.875008E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.492 | TFLOPs: 27.86 | 7: iteration 28380/ 37905 | consumed samples: 7265280 | consumed tokens: 14879293440 | elapsed time per iteration (s): 0.23 | learning rate: 4.713E-05 | global batch size: 256 | lm loss: 2.831633E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.156 | TFLOPs: 28.03 | 7: iteration 28390/ 37905 | consumed samples: 7267840 | consumed tokens: 14884536320 | elapsed time per iteration (s): 0.23 | learning rate: 4.708E-05 | global batch size: 256 | lm loss: 2.848052E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.423 | TFLOPs: 28.36 | 7: iteration 28400/ 37905 | consumed samples: 7270400 | consumed tokens: 14889779200 | elapsed time per iteration (s): 0.24 | learning rate: 4.702E-05 | global batch size: 256 | lm loss: 2.874542E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.879 | TFLOPs: 27.46 | 7: iteration 28410/ 37905 | consumed samples: 7272960 | consumed tokens: 14895022080 | elapsed time per iteration (s): 0.25 | learning rate: 4.697E-05 | global batch size: 256 | lm loss: 2.855595E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1035.795 | TFLOPs: 26.39 | 7: iteration 28420/ 37905 | consumed samples: 7275520 | consumed tokens: 14900264960 | elapsed time per iteration (s): 0.23 | learning rate: 4.691E-05 | global batch size: 256 | lm loss: 2.896621E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.503 | TFLOPs: 28.19 | 7: iteration 28430/ 37905 | consumed samples: 7278080 | consumed tokens: 14905507840 | elapsed time per iteration (s): 0.23 | learning rate: 4.686E-05 | global batch size: 256 | lm loss: 2.831812E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.812 | TFLOPs: 27.79 | 7: iteration 28440/ 37905 | consumed samples: 7280640 | consumed tokens: 14910750720 | elapsed time per iteration (s): 0.23 | learning rate: 4.681E-05 | global batch size: 256 | lm loss: 2.842509E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.597 | TFLOPs: 28.55 | 7: iteration 28450/ 37905 | consumed samples: 7283200 | consumed tokens: 14915993600 | elapsed time per iteration (s): 0.23 | learning rate: 4.675E-05 | global batch size: 256 | lm loss: 2.817737E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.309 | TFLOPs: 28.18 | 7: iteration 28460/ 37905 | consumed samples: 7285760 | consumed tokens: 14921236480 | elapsed time per iteration (s): 0.23 | learning rate: 4.670E-05 | global batch size: 256 | lm loss: 2.844193E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.618 | TFLOPs: 27.81 | 7: iteration 28470/ 37905 | consumed samples: 7288320 | consumed tokens: 14926479360 | elapsed time per iteration (s): 0.24 | learning rate: 4.665E-05 | global batch size: 256 | lm loss: 2.811947E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.199 | TFLOPs: 27.59 | 7: iteration 28480/ 37905 | consumed samples: 7290880 | consumed tokens: 14931722240 | elapsed time per iteration (s): 0.23 | learning rate: 4.659E-05 | global batch size: 256 | lm loss: 2.853752E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.312 | TFLOPs: 28.08 | 7: iteration 28490/ 37905 | consumed samples: 7293440 | consumed tokens: 14936965120 | elapsed time per iteration (s): 0.23 | learning rate: 4.654E-05 | global batch size: 256 | lm loss: 2.857586E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.072 | TFLOPs: 28.28 | 7: iteration 28500/ 37905 | consumed samples: 7296000 | consumed tokens: 14942208000 | elapsed time per iteration (s): 0.23 | learning rate: 4.649E-05 | global batch size: 256 | lm loss: 2.869911E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.893 | TFLOPs: 28.43 | 7: iteration 28510/ 37905 | consumed samples: 7298560 | consumed tokens: 14947450880 | elapsed time per iteration (s): 0.24 | learning rate: 4.643E-05 | global batch size: 256 | lm loss: 2.862643E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1046.154 | TFLOPs: 26.65 | 7: iteration 28520/ 37905 | consumed samples: 7301120 | consumed tokens: 14952693760 | elapsed time per iteration (s): 0.23 | learning rate: 4.638E-05 | global batch size: 256 | lm loss: 2.877692E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.119 | TFLOPs: 28.13 | 7: iteration 28530/ 37905 | consumed samples: 7303680 | consumed tokens: 14957936640 | elapsed time per iteration (s): 0.23 | learning rate: 4.633E-05 | global batch size: 256 | lm loss: 2.834222E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.961 | TFLOPs: 28.17 | 7: iteration 28540/ 37905 | consumed samples: 7306240 | consumed tokens: 14963179520 | elapsed time per iteration (s): 0.23 | learning rate: 4.627E-05 | global batch size: 256 | lm loss: 2.862103E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.959 | TFLOPs: 28.02 | 7: iteration 28550/ 37905 | consumed samples: 7308800 | consumed tokens: 14968422400 | elapsed time per iteration (s): 0.24 | learning rate: 4.622E-05 | global batch size: 256 | lm loss: 2.856245E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.845 | TFLOPs: 27.61 | 7: iteration 28560/ 37905 | consumed samples: 7311360 | consumed tokens: 14973665280 | elapsed time per iteration (s): 0.23 | learning rate: 4.617E-05 | global batch size: 256 | lm loss: 2.863311E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.320 | TFLOPs: 28.44 | 7: iteration 28570/ 37905 | consumed samples: 7313920 | consumed tokens: 14978908160 | elapsed time per iteration (s): 0.25 | learning rate: 4.611E-05 | global batch size: 256 | lm loss: 2.833274E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1036.968 | TFLOPs: 26.42 | 7: iteration 28580/ 37905 | consumed samples: 7316480 | consumed tokens: 14984151040 | elapsed time per iteration (s): 0.23 | learning rate: 4.606E-05 | global batch size: 256 | lm loss: 2.857086E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.341 | TFLOPs: 28.06 | 7: iteration 28590/ 37905 | consumed samples: 7319040 | consumed tokens: 14989393920 | elapsed time per iteration (s): 0.23 | learning rate: 4.601E-05 | global batch size: 256 | lm loss: 2.846896E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.235 | TFLOPs: 28.21 | 7: iteration 28600/ 37905 | consumed samples: 7321600 | consumed tokens: 14994636800 | elapsed time per iteration (s): 0.23 | learning rate: 4.595E-05 | global batch size: 256 | lm loss: 2.869436E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.173 | TFLOPs: 28.10 | 7: iteration 28610/ 37905 | consumed samples: 7324160 | consumed tokens: 14999879680 | elapsed time per iteration (s): 0.23 | learning rate: 4.590E-05 | global batch size: 256 | lm loss: 2.852437E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.289 | TFLOPs: 27.93 | 7: iteration 28620/ 37905 | consumed samples: 7326720 | consumed tokens: 15005122560 | elapsed time per iteration (s): 0.23 | learning rate: 4.585E-05 | global batch size: 256 | lm loss: 2.852344E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.434 | TFLOPs: 27.98 | 7: iteration 28630/ 37905 | consumed samples: 7329280 | consumed tokens: 15010365440 | elapsed time per iteration (s): 0.24 | learning rate: 4.580E-05 | global batch size: 256 | lm loss: 2.855532E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.870 | TFLOPs: 27.69 | 7: iteration 28640/ 37905 | consumed samples: 7331840 | consumed tokens: 15015608320 | elapsed time per iteration (s): 0.23 | learning rate: 4.574E-05 | global batch size: 256 | lm loss: 2.865700E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.882 | TFLOPs: 27.94 | 7: iteration 28650/ 37905 | consumed samples: 7334400 | consumed tokens: 15020851200 | elapsed time per iteration (s): 0.24 | learning rate: 4.569E-05 | global batch size: 256 | lm loss: 2.837478E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1064.142 | TFLOPs: 27.11 | 7: iteration 28660/ 37905 | consumed samples: 7336960 | consumed tokens: 15026094080 | elapsed time per iteration (s): 0.23 | learning rate: 4.564E-05 | global batch size: 256 | lm loss: 2.872495E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.892 | TFLOPs: 28.15 | 7: iteration 28670/ 37905 | consumed samples: 7339520 | consumed tokens: 15031336960 | elapsed time per iteration (s): 0.23 | learning rate: 4.559E-05 | global batch size: 256 | lm loss: 2.854050E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.644 | TFLOPs: 27.99 | 7: iteration 28680/ 37905 | consumed samples: 7342080 | consumed tokens: 15036579840 | elapsed time per iteration (s): 0.23 | learning rate: 4.553E-05 | global batch size: 256 | lm loss: 2.865557E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.901 | TFLOPs: 28.20 | 7: iteration 28690/ 37905 | consumed samples: 7344640 | consumed tokens: 15041822720 | elapsed time per iteration (s): 0.23 | learning rate: 4.548E-05 | global batch size: 256 | lm loss: 2.846228E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.068 | TFLOPs: 28.10 | 7: iteration 28700/ 37905 | consumed samples: 7347200 | consumed tokens: 15047065600 | elapsed time per iteration (s): 0.24 | learning rate: 4.543E-05 | global batch size: 256 | lm loss: 2.880693E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1048.338 | TFLOPs: 26.71 | 7: iteration 28710/ 37905 | consumed samples: 7349760 | consumed tokens: 15052308480 | elapsed time per iteration (s): 0.23 | learning rate: 4.537E-05 | global batch size: 256 | lm loss: 2.840797E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.862 | TFLOPs: 28.30 | 7: iteration 28720/ 37905 | consumed samples: 7352320 | consumed tokens: 15057551360 | elapsed time per iteration (s): 0.23 | learning rate: 4.532E-05 | global batch size: 256 | lm loss: 2.864604E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.805 | TFLOPs: 28.48 | 7: iteration 28730/ 37905 | consumed samples: 7354880 | consumed tokens: 15062794240 | elapsed time per iteration (s): 0.24 | learning rate: 4.527E-05 | global batch size: 256 | lm loss: 2.876187E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.626 | TFLOPs: 27.66 | 7: iteration 28740/ 37905 | consumed samples: 7357440 | consumed tokens: 15068037120 | elapsed time per iteration (s): 0.23 | learning rate: 4.522E-05 | global batch size: 256 | lm loss: 2.888044E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.164 | TFLOPs: 27.80 | 7: iteration 28750/ 37905 | consumed samples: 7360000 | consumed tokens: 15073280000 | elapsed time per iteration (s): 0.23 | learning rate: 4.517E-05 | global batch size: 256 | lm loss: 2.881145E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.312 | TFLOPs: 28.29 | 7: iteration 28760/ 37905 | consumed samples: 7362560 | consumed tokens: 15078522880 | elapsed time per iteration (s): 0.25 | learning rate: 4.511E-05 | global batch size: 256 | lm loss: 2.864985E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1020.750 | TFLOPs: 26.00 | 7: iteration 28770/ 37905 | consumed samples: 7365120 | consumed tokens: 15083765760 | elapsed time per iteration (s): 0.23 | learning rate: 4.506E-05 | global batch size: 256 | lm loss: 2.857161E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.205 | TFLOPs: 28.33 | 7: iteration 28780/ 37905 | consumed samples: 7367680 | consumed tokens: 15089008640 | elapsed time per iteration (s): 0.23 | learning rate: 4.501E-05 | global batch size: 256 | lm loss: 2.864546E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.904 | TFLOPs: 28.12 | 7: iteration 28790/ 37905 | consumed samples: 7370240 | consumed tokens: 15094251520 | elapsed time per iteration (s): 0.23 | learning rate: 4.496E-05 | global batch size: 256 | lm loss: 2.852262E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.324 | TFLOPs: 28.08 | 7: iteration 28800/ 37905 | consumed samples: 7372800 | consumed tokens: 15099494400 | elapsed time per iteration (s): 0.46 | learning rate: 4.490E-05 | global batch size: 256 | lm loss: 2.868770E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 559.287 | TFLOPs: 14.25 | 7: iteration 28810/ 37905 | consumed samples: 7375360 | consumed tokens: 15104737280 | elapsed time per iteration (s): 0.23 | learning rate: 4.485E-05 | global batch size: 256 | lm loss: 2.840636E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.747 | TFLOPs: 28.50 | 7: iteration 28820/ 37905 | consumed samples: 7377920 | consumed tokens: 15109980160 | elapsed time per iteration (s): 0.28 | learning rate: 4.480E-05 | global batch size: 256 | lm loss: 2.831241E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 905.414 | TFLOPs: 23.07 | 7: iteration 28830/ 37905 | consumed samples: 7380480 | consumed tokens: 15115223040 | elapsed time per iteration (s): 0.23 | learning rate: 4.475E-05 | global batch size: 256 | lm loss: 2.862085E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.327 | TFLOPs: 28.36 | 7: iteration 28840/ 37905 | consumed samples: 7383040 | consumed tokens: 15120465920 | elapsed time per iteration (s): 0.23 | learning rate: 4.470E-05 | global batch size: 256 | lm loss: 2.836752E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.722 | TFLOPs: 28.42 | 7: iteration 28850/ 37905 | consumed samples: 7385600 | consumed tokens: 15125708800 | elapsed time per iteration (s): 0.23 | learning rate: 4.465E-05 | global batch size: 256 | lm loss: 2.875065E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.863 | TFLOPs: 28.04 | 7: iteration 28860/ 37905 | consumed samples: 7388160 | consumed tokens: 15130951680 | elapsed time per iteration (s): 0.23 | learning rate: 4.459E-05 | global batch size: 256 | lm loss: 2.850637E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.392 | TFLOPs: 27.91 | 7: iteration 28870/ 37905 | consumed samples: 7390720 | consumed tokens: 15136194560 | elapsed time per iteration (s): 0.24 | learning rate: 4.454E-05 | global batch size: 256 | lm loss: 2.850219E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.779 | TFLOPs: 27.41 | 7: iteration 28880/ 37905 | consumed samples: 7393280 | consumed tokens: 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| consumed samples: 7400960 | consumed tokens: 15157166080 | elapsed time per iteration (s): 0.23 | learning rate: 4.434E-05 | global batch size: 256 | lm loss: 2.866133E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.382 | TFLOPs: 27.93 | 7: iteration 28920/ 37905 | consumed samples: 7403520 | consumed tokens: 15162408960 | elapsed time per iteration (s): 0.23 | learning rate: 4.428E-05 | global batch size: 256 | lm loss: 2.879633E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.780 | TFLOPs: 28.22 | 7: iteration 28930/ 37905 | consumed samples: 7406080 | consumed tokens: 15167651840 | elapsed time per iteration (s): 0.23 | learning rate: 4.423E-05 | global batch size: 256 | lm loss: 2.853814E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 1106.429 | TFLOPs: 28.19 | 7: iteration 28970/ 37905 | consumed samples: 7416320 | consumed tokens: 15188623360 | elapsed time per iteration (s): 0.23 | learning rate: 4.403E-05 | global batch size: 256 | lm loss: 2.901486E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.411 | TFLOPs: 27.98 | 7: iteration 28980/ 37905 | consumed samples: 7418880 | consumed tokens: 15193866240 | elapsed time per iteration (s): 0.23 | learning rate: 4.398E-05 | global batch size: 256 | lm loss: 2.896432E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.627 | TFLOPs: 27.89 | 7: iteration 28990/ 37905 | consumed samples: 7421440 | consumed tokens: 15199109120 | elapsed time per iteration (s): 0.23 | learning rate: 4.392E-05 | global batch size: 256 | lm loss: 2.867127E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.907 | TFLOPs: 27.82 | 7: iteration 29000/ 37905 | consumed samples: 7424000 | consumed tokens: 15204352000 | elapsed time per iteration (s): 0.23 | learning rate: 4.387E-05 | global batch size: 256 | lm loss: 2.842394E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.278 | TFLOPs: 28.51 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 29000 | lm loss value: 2.854430E+00 | lm loss PPL: 1.736454E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 29000 to checkpoints_83mwarmup 0: [2022-11-24 19:21:06,497] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step29000 is begin to save! 0: [2022-11-24 19:21:06,501] [INFO] 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checkpoints_83mwarmup/global_step29000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-24 19:21:06,849] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step29000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-24 19:21:06,849] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step29000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-24 19:21:06,849] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 6: [2022-11-24 19:21:06,849] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 6: [2022-11-24 19:21:06,849] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 6: [2022-11-24 19:21:06,849] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step29000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-24 19:21:06,849] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 6: [2022-11-24 19:21:06,849] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 6: [2022-11-24 19:21:06,849] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step29000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-24 19:21:06,849] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 6: [2022-11-24 19:21:06,849] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 6: [2022-11-24 19:21:06,849] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 0: successfully saved checkpoint at iteration 29000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 358.20 7: iteration 29010/ 37905 | consumed samples: 7426560 | consumed tokens: 15209594880 | elapsed time per iteration (s): 0.28 | learning rate: 4.382E-05 | global batch size: 256 | lm loss: 2.807452E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 930.408 | TFLOPs: 23.70 | 7: iteration 29020/ 37905 | consumed samples: 7429120 | consumed tokens: 15214837760 | elapsed time per iteration (s): 0.23 | learning rate: 4.377E-05 | global batch size: 256 | lm loss: 2.861056E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.620 | TFLOPs: 28.19 | 7: iteration 29030/ 37905 | consumed samples: 7431680 | consumed tokens: 15220080640 | elapsed time per iteration (s): 0.23 | learning rate: 4.372E-05 | global batch size: 256 | lm loss: 2.844316E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.062 | TFLOPs: 28.00 | 7: iteration 29040/ 37905 | consumed samples: 7434240 | consumed tokens: 15225323520 | elapsed time per iteration (s): 0.25 | learning rate: 4.367E-05 | global batch size: 256 | lm loss: 2.835385E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1036.663 | TFLOPs: 26.41 | 7: iteration 29050/ 37905 | consumed samples: 7436800 | consumed tokens: 15230566400 | elapsed time per iteration (s): 0.23 | learning rate: 4.362E-05 | global batch size: 256 | lm loss: 2.870648E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.397 | TFLOPs: 28.03 | 7: iteration 29060/ 37905 | consumed samples: 7439360 | consumed tokens: 15235809280 | elapsed time per iteration (s): 0.23 | learning rate: 4.357E-05 | global batch size: 256 | lm loss: 2.865717E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.369 | TFLOPs: 28.16 | 7: iteration 29070/ 37905 | consumed samples: 7441920 | consumed tokens: 15241052160 | elapsed time per iteration (s): 0.23 | learning rate: 4.352E-05 | global batch size: 256 | lm loss: 2.840309E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.777 | TFLOPs: 28.07 | 7: iteration 29080/ 37905 | consumed samples: 7444480 | consumed tokens: 15246295040 | elapsed time per iteration (s): 0.23 | learning rate: 4.347E-05 | global batch size: 256 | lm loss: 2.879227E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.322 | TFLOPs: 28.18 | 7: iteration 29090/ 37905 | consumed samples: 7447040 | consumed tokens: 15251537920 | elapsed time per iteration (s): 0.23 | learning rate: 4.342E-05 | global batch size: 256 | lm loss: 2.863739E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.114 | TFLOPs: 28.20 | 7: iteration 29100/ 37905 | consumed samples: 7449600 | consumed tokens: 15256780800 | elapsed time per iteration (s): 0.24 | learning rate: 4.336E-05 | global batch size: 256 | lm loss: 2.823381E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1069.065 | TFLOPs: 27.23 | 7: iteration 29110/ 37905 | consumed samples: 7452160 | consumed tokens: 15262023680 | elapsed time per iteration (s): 0.24 | learning rate: 4.331E-05 | global batch size: 256 | lm loss: 2.854332E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1081.824 | TFLOPs: 27.56 | 7: iteration 29120/ 37905 | consumed samples: 7454720 | consumed tokens: 15267266560 | elapsed time per iteration (s): 0.23 | learning rate: 4.326E-05 | global batch size: 256 | lm loss: 2.838347E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.218 | TFLOPs: 28.21 | 7: iteration 29130/ 37905 | consumed samples: 7457280 | consumed tokens: 15272509440 | elapsed time per iteration (s): 0.23 | learning rate: 4.321E-05 | global batch size: 256 | lm loss: 2.847588E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.178 | TFLOPs: 27.87 | 7: iteration 29140/ 37905 | consumed samples: 7459840 | consumed tokens: 15277752320 | elapsed time per iteration (s): 0.26 | learning rate: 4.316E-05 | global batch size: 256 | lm loss: 2.841660E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 992.512 | TFLOPs: 25.28 | 7: iteration 29150/ 37905 | consumed samples: 7462400 | consumed tokens: 15282995200 | elapsed time per iteration (s): 0.23 | learning rate: 4.311E-05 | global batch size: 256 | lm loss: 2.870232E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.395 | TFLOPs: 28.29 | 7: iteration 29160/ 37905 | consumed samples: 7464960 | consumed tokens: 15288238080 | elapsed time per iteration (s): 0.23 | learning rate: 4.306E-05 | global batch size: 256 | lm loss: 2.853218E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.941 | TFLOPs: 28.00 | 7: iteration 29170/ 37905 | consumed samples: 7467520 | consumed tokens: 15293480960 | elapsed time per iteration (s): 0.23 | learning rate: 4.301E-05 | global batch size: 256 | lm loss: 2.839058E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.969 | TFLOPs: 28.10 | 7: iteration 29180/ 37905 | consumed samples: 7470080 | consumed tokens: 15298723840 | elapsed time per iteration (s): 0.23 | learning rate: 4.296E-05 | global batch size: 256 | lm loss: 2.866862E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.605 | TFLOPs: 27.86 | 7: iteration 29190/ 37905 | consumed samples: 7472640 | consumed tokens: 15303966720 | elapsed time per iteration (s): 0.23 | learning rate: 4.291E-05 | global batch size: 256 | lm loss: 2.849875E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.511 | TFLOPs: 28.19 | 7: iteration 29200/ 37905 | consumed samples: 7475200 | consumed tokens: 15309209600 | elapsed time per iteration (s): 0.24 | learning rate: 4.286E-05 | global batch size: 256 | lm loss: 2.800460E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1046.946 | TFLOPs: 26.67 | 7: iteration 29210/ 37905 | consumed samples: 7477760 | consumed tokens: 15314452480 | elapsed time per iteration (s): 0.24 | learning rate: 4.281E-05 | global batch size: 256 | lm loss: 2.874178E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.698 | TFLOPs: 27.66 | 7: iteration 29220/ 37905 | consumed samples: 7480320 | consumed tokens: 15319695360 | elapsed time per iteration (s): 0.23 | learning rate: 4.276E-05 | global batch size: 256 | lm loss: 2.855518E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.060 | TFLOPs: 28.23 | 7: iteration 29230/ 37905 | consumed samples: 7482880 | consumed tokens: 15324938240 | elapsed time per iteration (s): 0.23 | learning rate: 4.271E-05 | global batch size: 256 | lm loss: 2.826807E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.561 | TFLOPs: 28.57 | 7: iteration 29240/ 37905 | consumed samples: 7485440 | consumed tokens: 15330181120 | elapsed time per iteration (s): 0.23 | learning rate: 4.266E-05 | global batch size: 256 | lm loss: 2.848788E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.204 | TFLOPs: 27.88 | 7: iteration 29250/ 37905 | consumed samples: 7488000 | consumed tokens: 15335424000 | elapsed time per iteration (s): 0.23 | learning rate: 4.261E-05 | global batch size: 256 | lm loss: 2.826847E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.392 | TFLOPs: 28.39 | 7: iteration 29260/ 37905 | consumed samples: 7490560 | consumed tokens: 15340666880 | elapsed time per iteration (s): 0.23 | learning rate: 4.256E-05 | global batch size: 256 | lm loss: 2.841243E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.381 | TFLOPs: 28.29 | 7: iteration 29270/ 37905 | consumed samples: 7493120 | consumed tokens: 15345909760 | elapsed time per iteration (s): 0.23 | learning rate: 4.251E-05 | global batch size: 256 | lm loss: 2.851184E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.952 | TFLOPs: 28.00 | 7: iteration 29280/ 37905 | consumed samples: 7495680 | consumed tokens: 15351152640 | elapsed time per iteration (s): 0.23 | learning rate: 4.246E-05 | global batch size: 256 | lm loss: 2.862710E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.062 | TFLOPs: 28.10 | 7: iteration 29290/ 37905 | consumed samples: 7498240 | consumed tokens: 15356395520 | elapsed time per iteration (s): 0.23 | learning rate: 4.241E-05 | global batch size: 256 | lm loss: 2.842588E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.939 | TFLOPs: 27.89 | 7: iteration 29300/ 37905 | consumed samples: 7500800 | consumed tokens: 15361638400 | elapsed time per iteration (s): 0.24 | learning rate: 4.236E-05 | global batch size: 256 | lm loss: 2.861277E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1080.646 | TFLOPs: 27.53 | 7: iteration 29310/ 37905 | consumed samples: 7503360 | consumed tokens: 15366881280 | elapsed time per iteration (s): 0.23 | learning rate: 4.231E-05 | global batch size: 256 | lm loss: 2.816368E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.305 | TFLOPs: 28.31 | 7: iteration 29320/ 37905 | consumed samples: 7505920 | consumed tokens: 15372124160 | elapsed time per iteration (s): 0.23 | learning rate: 4.226E-05 | global batch size: 256 | lm loss: 2.878828E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.687 | TFLOPs: 28.42 | 7: iteration 29330/ 37905 | consumed samples: 7508480 | consumed tokens: 15377367040 | elapsed time per iteration (s): 0.24 | learning rate: 4.221E-05 | global batch size: 256 | lm loss: 2.846828E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.541 | TFLOPs: 27.43 | 7: iteration 29340/ 37905 | consumed samples: 7511040 | consumed tokens: 15382609920 | elapsed time per iteration (s): 0.23 | learning rate: 4.216E-05 | global batch size: 256 | lm loss: 2.827387E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.528 | TFLOPs: 28.11 | 7: iteration 29350/ 37905 | consumed samples: 7513600 | consumed tokens: 15387852800 | elapsed time per iteration (s): 0.23 | learning rate: 4.211E-05 | global batch size: 256 | lm loss: 2.831694E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.439 | TFLOPs: 28.16 | 7: iteration 29360/ 37905 | consumed samples: 7516160 | consumed tokens: 15393095680 | elapsed time per iteration (s): 0.23 | learning rate: 4.206E-05 | global batch size: 256 | lm loss: 2.867515E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.345 | TFLOPs: 28.01 | 7: iteration 29370/ 37905 | consumed samples: 7518720 | consumed tokens: 15398338560 | elapsed time per iteration (s): 0.23 | learning rate: 4.201E-05 | global batch size: 256 | lm loss: 2.847627E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.809 | TFLOPs: 28.63 | 7: iteration 29380/ 37905 | consumed samples: 7521280 | consumed tokens: 15403581440 | elapsed time per iteration (s): 0.23 | learning rate: 4.196E-05 | global batch size: 256 | lm loss: 2.876197E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.623 | TFLOPs: 28.62 | 7: iteration 29390/ 37905 | consumed samples: 7523840 | consumed tokens: 15408824320 | elapsed time per iteration (s): 0.24 | learning rate: 4.192E-05 | global batch size: 256 | lm loss: 2.853378E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.091 | TFLOPs: 27.41 | 7: iteration 29400/ 37905 | consumed samples: 7526400 | consumed tokens: 15414067200 | elapsed time per iteration (s): 0.23 | learning rate: 4.187E-05 | global batch size: 256 | lm loss: 2.882652E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.045 | TFLOPs: 28.64 | 7: iteration 29410/ 37905 | consumed samples: 7528960 | consumed tokens: 15419310080 | elapsed time per iteration (s): 0.23 | learning rate: 4.182E-05 | global batch size: 256 | lm loss: 2.805172E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.292 | TFLOPs: 28.16 | 7: iteration 29420/ 37905 | consumed samples: 7531520 | consumed tokens: 15424552960 | elapsed time per iteration (s): 0.23 | learning rate: 4.177E-05 | global batch size: 256 | lm loss: 2.810106E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.566 | TFLOPs: 27.76 | 7: iteration 29430/ 37905 | consumed samples: 7534080 | consumed tokens: 15429795840 | elapsed time per iteration (s): 0.23 | learning rate: 4.172E-05 | global batch size: 256 | lm loss: 2.877159E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.859 | TFLOPs: 28.02 | 7: iteration 29440/ 37905 | consumed samples: 7536640 | consumed tokens: 15435038720 | elapsed time per iteration (s): 0.23 | learning rate: 4.167E-05 | global batch size: 256 | lm loss: 2.859810E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.614 | TFLOPs: 28.14 | 7: iteration 29450/ 37905 | consumed samples: 7539200 | consumed tokens: 15440281600 | elapsed time per iteration (s): 0.23 | learning rate: 4.162E-05 | global batch size: 256 | lm loss: 2.845490E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.113 | TFLOPs: 28.08 | 7: iteration 29460/ 37905 | consumed samples: 7541760 | consumed tokens: 15445524480 | elapsed time per iteration (s): 0.23 | learning rate: 4.157E-05 | global batch size: 256 | lm loss: 2.880906E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.090 | TFLOPs: 28.66 | 7: iteration 29470/ 37905 | consumed samples: 7544320 | consumed tokens: 15450767360 | elapsed time per iteration (s): 0.23 | learning rate: 4.152E-05 | global batch size: 256 | lm loss: 2.867928E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.389 | TFLOPs: 28.03 | 7: iteration 29480/ 37905 | consumed samples: 7546880 | consumed tokens: 15456010240 | elapsed time per iteration (s): 0.23 | learning rate: 4.147E-05 | global batch size: 256 | lm loss: 2.873344E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.620 | TFLOPs: 28.40 | 7: iteration 29490/ 37905 | consumed samples: 7549440 | consumed tokens: 15461253120 | elapsed time per iteration (s): 0.23 | learning rate: 4.143E-05 | global batch size: 256 | lm loss: 2.837873E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1125.773 | TFLOPs: 28.68 | 7: iteration 29500/ 37905 | consumed samples: 7552000 | consumed tokens: 15466496000 | elapsed time per iteration (s): 0.23 | learning rate: 4.138E-05 | global batch size: 256 | lm loss: 2.878941E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.088 | TFLOPs: 28.41 | 7: iteration 29510/ 37905 | consumed samples: 7554560 | consumed tokens: 15471738880 | elapsed time per iteration (s): 0.23 | learning rate: 4.133E-05 | global batch size: 256 | lm loss: 2.870892E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.782 | TFLOPs: 28.32 | 7: iteration 29520/ 37905 | consumed samples: 7557120 | consumed tokens: 15476981760 | elapsed time per iteration (s): 0.23 | learning rate: 4.128E-05 | global batch size: 256 | lm loss: 2.865542E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.191 | TFLOPs: 28.05 | 7: iteration 29530/ 37905 | consumed samples: 7559680 | consumed tokens: 15482224640 | elapsed time per iteration (s): 0.23 | learning rate: 4.123E-05 | global batch size: 256 | lm loss: 2.828015E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.554 | TFLOPs: 27.76 | 7: iteration 29540/ 37905 | consumed samples: 7562240 | consumed tokens: 15487467520 | elapsed time per iteration (s): 0.23 | learning rate: 4.118E-05 | global batch size: 256 | lm loss: 2.870046E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.613 | TFLOPs: 28.17 | 7: iteration 29550/ 37905 | consumed samples: 7564800 | consumed tokens: 15492710400 | elapsed time per iteration (s): 0.23 | learning rate: 4.113E-05 | global batch size: 256 | lm loss: 2.833587E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.889 | TFLOPs: 28.30 | 7: iteration 29560/ 37905 | consumed samples: 7567360 | consumed tokens: 15497953280 | elapsed time per iteration (s): 0.23 | learning rate: 4.108E-05 | global batch size: 256 | lm loss: 2.846182E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.848 | TFLOPs: 28.35 | 7: iteration 29570/ 37905 | consumed samples: 7569920 | consumed tokens: 15503196160 | elapsed time per iteration (s): 0.23 | learning rate: 4.104E-05 | global batch size: 256 | lm loss: 2.849073E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.231 | TFLOPs: 28.26 | 7: iteration 29580/ 37905 | consumed samples: 7572480 | consumed tokens: 15508439040 | elapsed time per iteration (s): 0.23 | learning rate: 4.099E-05 | global batch size: 256 | lm loss: 2.868137E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.171 | TFLOPs: 28.03 | 7: iteration 29590/ 37905 | consumed samples: 7575040 | consumed tokens: 15513681920 | elapsed time per iteration (s): 0.24 | learning rate: 4.094E-05 | global batch size: 256 | lm loss: 2.840252E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.524 | TFLOPs: 27.40 | 7: iteration 29600/ 37905 | consumed samples: 7577600 | consumed tokens: 15518924800 | elapsed time per iteration (s): 0.23 | learning rate: 4.089E-05 | global batch size: 256 | lm loss: 2.886087E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.201 | TFLOPs: 28.23 | 7: iteration 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second: 1107.254 | TFLOPs: 28.21 | 7: iteration 29640/ 37905 | consumed samples: 7587840 | consumed tokens: 15539896320 | elapsed time per iteration (s): 0.23 | learning rate: 4.070E-05 | global batch size: 256 | lm loss: 2.860071E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.819 | TFLOPs: 28.17 | 7: iteration 29650/ 37905 | consumed samples: 7590400 | consumed tokens: 15545139200 | elapsed time per iteration (s): 0.23 | learning rate: 4.065E-05 | global batch size: 256 | lm loss: 2.844992E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.385 | TFLOPs: 27.75 | 7: iteration 29660/ 37905 | consumed samples: 7592960 | consumed tokens: 15550382080 | elapsed time per iteration (s): 0.23 | learning rate: 4.060E-05 | global batch size: 256 | lm loss: 2.846544E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 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learning rate: 3.923E-05 | global batch size: 256 | lm loss: 2.849199E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.640 | TFLOPs: 28.42 | 7: iteration 29960/ 37905 | consumed samples: 7669760 | consumed tokens: 15707668480 | elapsed time per iteration (s): 0.23 | learning rate: 3.919E-05 | global batch size: 256 | lm loss: 2.847058E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.776 | TFLOPs: 28.25 | 7: iteration 29970/ 37905 | consumed samples: 7672320 | consumed tokens: 15712911360 | elapsed time per iteration (s): 0.23 | learning rate: 3.914E-05 | global batch size: 256 | lm loss: 2.828058E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.756 | TFLOPs: 28.32 | 7: iteration 29980/ 37905 | consumed samples: 7674880 | consumed tokens: 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batch size: 256 | lm loss: 2.864467E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.267 | TFLOPs: 28.31 | 0: steps: 30000 loss: 2.8210 iter time (s): 0.234 samples/sec: 1095.400 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 30000 | lm loss value: 2.831593E+00 | lm loss PPL: 1.697247E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 30000 to checkpoints_83mwarmup 0: [2022-11-24 19:24:59,927] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step30000 is begin to save! 0: [2022-11-24 19:24:59,931] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step30000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:25:00,004] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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242.57 7: iteration 30010/ 37905 | consumed samples: 7682560 | consumed tokens: 15733882880 | elapsed time per iteration (s): 0.26 | learning rate: 3.895E-05 | global batch size: 256 | lm loss: 2.841672E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 982.670 | TFLOPs: 25.03 | 7: iteration 30020/ 37905 | consumed samples: 7685120 | consumed tokens: 15739125760 | elapsed time per iteration (s): 0.23 | learning rate: 3.891E-05 | global batch size: 256 | lm loss: 2.864591E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.973 | TFLOPs: 28.02 | 7: iteration 30030/ 37905 | consumed samples: 7687680 | consumed tokens: 15744368640 | elapsed time per iteration (s): 0.23 | learning rate: 3.886E-05 | global batch size: 256 | lm loss: 2.860438E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.870 | TFLOPs: 28.07 | 7: iteration 30040/ 37905 | consumed samples: 7690240 | consumed tokens: 15749611520 | elapsed time per iteration (s): 0.24 | learning rate: 3.882E-05 | global batch size: 256 | lm loss: 2.833109E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1050.618 | TFLOPs: 26.76 | 7: iteration 30050/ 37905 | consumed samples: 7692800 | consumed tokens: 15754854400 | elapsed time per iteration (s): 0.23 | learning rate: 3.877E-05 | global batch size: 256 | lm loss: 2.862261E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.268 | TFLOPs: 28.26 | 7: iteration 30060/ 37905 | consumed samples: 7695360 | consumed tokens: 15760097280 | elapsed time per iteration (s): 0.24 | learning rate: 3.872E-05 | global batch size: 256 | lm loss: 2.858576E+00 | grad norm: 0.205 | num zeros: 0.0 | 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(s): 0.24 | learning rate: 3.741E-05 | global batch size: 256 | lm loss: 2.823728E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1061.069 | TFLOPs: 27.03 | 7: iteration 30360/ 37905 | consumed samples: 7772160 | consumed tokens: 15917383680 | elapsed time per iteration (s): 0.23 | learning rate: 3.737E-05 | global batch size: 256 | lm loss: 2.866550E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.725 | TFLOPs: 28.04 | 7: iteration 30370/ 37905 | consumed samples: 7774720 | consumed tokens: 15922626560 | elapsed time per iteration (s): 0.24 | learning rate: 3.732E-05 | global batch size: 256 | lm loss: 2.850491E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.421 | TFLOPs: 27.57 | 7: iteration 30380/ 37905 | consumed samples: 7777280 | consumed 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second: 1041.629 | TFLOPs: 26.54 | 7: iteration 30440/ 37905 | consumed samples: 7792640 | consumed tokens: 15959326720 | elapsed time per iteration (s): 0.24 | learning rate: 3.701E-05 | global batch size: 256 | lm loss: 2.869919E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.330 | TFLOPs: 27.62 | 7: iteration 30450/ 37905 | consumed samples: 7795200 | consumed tokens: 15964569600 | elapsed time per iteration (s): 0.23 | learning rate: 3.697E-05 | global batch size: 256 | lm loss: 2.824944E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.540 | TFLOPs: 28.55 | 7: iteration 30460/ 37905 | consumed samples: 7797760 | consumed tokens: 15969812480 | elapsed time per iteration (s): 0.23 | learning rate: 3.692E-05 | global batch size: 256 | lm loss: 2.826253E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.531 | TFLOPs: 28.27 | 7: iteration 30470/ 37905 | consumed samples: 7800320 | consumed tokens: 15975055360 | elapsed time per iteration (s): 0.23 | learning rate: 3.688E-05 | global batch size: 256 | lm loss: 2.864622E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.394 | TFLOPs: 28.57 | 7: iteration 30480/ 37905 | consumed samples: 7802880 | consumed tokens: 15980298240 | elapsed time per iteration (s): 0.23 | learning rate: 3.684E-05 | global batch size: 256 | lm loss: 2.839701E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.730 | TFLOPs: 28.58 | 7: iteration 30490/ 37905 | consumed samples: 7805440 | consumed tokens: 15985541120 | elapsed time per iteration (s): 0.23 | learning rate: 3.679E-05 | global batch size: 256 | lm loss: 2.855082E+00 | grad norm: 0.212 | 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256 | lm loss: 2.846372E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.307 | TFLOPs: 28.59 | 7: iteration 30530/ 37905 | consumed samples: 7815680 | consumed tokens: 16006512640 | elapsed time per iteration (s): 0.23 | learning rate: 3.662E-05 | global batch size: 256 | lm loss: 2.834626E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.919 | TFLOPs: 28.22 | 7: iteration 30540/ 37905 | consumed samples: 7818240 | consumed tokens: 16011755520 | elapsed time per iteration (s): 0.23 | learning rate: 3.657E-05 | global batch size: 256 | lm loss: 2.815062E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.509 | TFLOPs: 28.24 | 7: iteration 30550/ 37905 | consumed samples: 7820800 | consumed tokens: 16016998400 | elapsed time per iteration (s): 0.23 | 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| consumed samples: 7836160 | consumed tokens: 16048455680 | elapsed time per iteration (s): 0.23 | learning rate: 3.627E-05 | global batch size: 256 | lm loss: 2.843658E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.459 | TFLOPs: 28.44 | 7: iteration 30620/ 37905 | consumed samples: 7838720 | consumed tokens: 16053698560 | elapsed time per iteration (s): 0.23 | learning rate: 3.623E-05 | global batch size: 256 | lm loss: 2.848900E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.463 | TFLOPs: 27.96 | 7: iteration 30630/ 37905 | consumed samples: 7841280 | consumed tokens: 16058941440 | elapsed time per iteration (s): 0.24 | learning rate: 3.618E-05 | global batch size: 256 | lm loss: 2.821255E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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lm loss: 2.842914E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.844 | TFLOPs: 28.58 | 7: iteration 30730/ 37905 | consumed samples: 7866880 | consumed tokens: 16111370240 | elapsed time per iteration (s): 0.24 | learning rate: 3.575E-05 | global batch size: 256 | lm loss: 2.853253E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1064.830 | TFLOPs: 27.13 | 7: iteration 30740/ 37905 | consumed samples: 7869440 | consumed tokens: 16116613120 | elapsed time per iteration (s): 0.23 | learning rate: 3.571E-05 | global batch size: 256 | lm loss: 2.825286E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.061 | TFLOPs: 28.30 | 7: iteration 30750/ 37905 | consumed samples: 7872000 | consumed tokens: 16121856000 | elapsed time per iteration (s): 0.23 | 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| consumed samples: 7887360 | consumed tokens: 16153313280 | elapsed time per iteration (s): 0.23 | learning rate: 3.542E-05 | global batch size: 256 | lm loss: 2.824582E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.899 | TFLOPs: 28.15 | 7: iteration 30820/ 37905 | consumed samples: 7889920 | consumed tokens: 16158556160 | elapsed time per iteration (s): 0.23 | learning rate: 3.537E-05 | global batch size: 256 | lm loss: 2.841189E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.748 | TFLOPs: 28.14 | 7: iteration 30830/ 37905 | consumed samples: 7892480 | consumed tokens: 16163799040 | elapsed time per iteration (s): 0.23 | learning rate: 3.533E-05 | global batch size: 256 | lm loss: 2.827357E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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lm loss: 2.855534E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.659 | TFLOPs: 28.60 | 7: iteration 30930/ 37905 | consumed samples: 7918080 | consumed tokens: 16216227840 | elapsed time per iteration (s): 0.23 | learning rate: 3.491E-05 | global batch size: 256 | lm loss: 2.838630E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.489 | TFLOPs: 28.37 | 7: iteration 30940/ 37905 | consumed samples: 7920640 | consumed tokens: 16221470720 | elapsed time per iteration (s): 0.23 | learning rate: 3.487E-05 | global batch size: 256 | lm loss: 2.852625E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.635 | TFLOPs: 28.01 | 7: iteration 30950/ 37905 | consumed samples: 7923200 | consumed tokens: 16226713600 | elapsed time per iteration (s): 0.23 | learning rate: 3.483E-05 | global batch size: 256 | lm loss: 2.821913E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.422 | TFLOPs: 28.03 | 7: iteration 30960/ 37905 | consumed samples: 7925760 | consumed tokens: 16231956480 | elapsed time per iteration (s): 0.23 | learning rate: 3.479E-05 | global batch size: 256 | lm loss: 2.867133E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.632 | TFLOPs: 28.17 | 7: iteration 30970/ 37905 | consumed samples: 7928320 | consumed tokens: 16237199360 | elapsed time per iteration (s): 0.24 | learning rate: 3.475E-05 | global batch size: 256 | lm loss: 2.850667E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1071.508 | TFLOPs: 27.30 | 7: iteration 30980/ 37905 | consumed samples: 7930880 | consumed tokens: 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------------------------------------------------------------------------------------------- 7: valid loss at iteration 31000 | lm loss value: 2.673820E+00 | lm loss PPL: 1.449524E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 31000 to checkpoints_83mwarmup 0: [2022-11-24 19:28:53,542] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step31000 is begin to save! 0: [2022-11-24 19:28:53,546] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step31000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:28:53,619] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step31000/layer_01-model_00-model_states.pt. 0: [2022-11-24 19:28:53,619] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step31000/layer_03-model_00-model_states.pt... 0: [2022-11-24 19:28:53,631] [INFO] 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rate: 3.454E-05 | global batch size: 256 | lm loss: 2.910546E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.265 | TFLOPs: 28.44 | 7: iteration 31030/ 37905 | consumed samples: 7943680 | consumed tokens: 16268656640 | elapsed time per iteration (s): 0.23 | learning rate: 3.450E-05 | global batch size: 256 | lm loss: 2.843170E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.867 | TFLOPs: 28.30 | 7: iteration 31040/ 37905 | consumed samples: 7946240 | consumed tokens: 16273899520 | elapsed time per iteration (s): 0.23 | learning rate: 3.446E-05 | global batch size: 256 | lm loss: 2.915142E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.329 | TFLOPs: 28.36 | 7: iteration 31050/ 37905 | consumed samples: 7948800 | consumed tokens: 16279142400 | elapsed time per iteration (s): 0.23 | learning rate: 3.442E-05 | global batch size: 256 | lm loss: 2.843127E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.897 | TFLOPs: 28.50 | 7: iteration 31060/ 37905 | consumed samples: 7951360 | consumed tokens: 16284385280 | elapsed time per iteration (s): 0.23 | learning rate: 3.438E-05 | global batch size: 256 | lm loss: 2.832366E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.046 | TFLOPs: 28.20 | 7: iteration 31070/ 37905 | consumed samples: 7953920 | consumed tokens: 16289628160 | elapsed time per iteration (s): 0.23 | learning rate: 3.434E-05 | global batch size: 256 | lm loss: 2.892342E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.167 | TFLOPs: 28.51 | 7: iteration 31080/ 37905 | consumed 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iterations: 0 | samples per second: 1100.056 | TFLOPs: 28.02 | 7: iteration 31140/ 37905 | consumed samples: 7971840 | consumed tokens: 16326328320 | elapsed time per iteration (s): 0.25 | learning rate: 3.405E-05 | global batch size: 256 | lm loss: 2.848316E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1029.247 | TFLOPs: 26.22 | 7: iteration 31150/ 37905 | consumed samples: 7974400 | consumed tokens: 16331571200 | elapsed time per iteration (s): 0.23 | learning rate: 3.401E-05 | global batch size: 256 | lm loss: 2.832888E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.446 | TFLOPs: 28.37 | 7: iteration 31160/ 37905 | consumed samples: 7976960 | consumed tokens: 16336814080 | elapsed time per iteration (s): 0.23 | learning rate: 3.397E-05 | global batch size: 256 | lm loss: 2.840924E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.078 | TFLOPs: 28.48 | 7: iteration 31170/ 37905 | consumed samples: 7979520 | consumed tokens: 16342056960 | elapsed time per iteration (s): 0.24 | learning rate: 3.393E-05 | global batch size: 256 | lm loss: 2.845932E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1064.776 | TFLOPs: 27.13 | 7: iteration 31180/ 37905 | consumed samples: 7982080 | consumed tokens: 16347299840 | elapsed time per iteration (s): 0.23 | learning rate: 3.389E-05 | global batch size: 256 | lm loss: 2.869445E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.831 | TFLOPs: 28.58 | 7: iteration 31190/ 37905 | consumed samples: 7984640 | consumed tokens: 16352542720 | elapsed time per iteration (s): 0.23 | learning rate: 3.385E-05 | global batch size: 256 | lm loss: 2.838296E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.498 | TFLOPs: 28.54 | 7: iteration 31200/ 37905 | consumed samples: 7987200 | consumed tokens: 16357785600 | elapsed time per iteration (s): 0.23 | learning rate: 3.381E-05 | global batch size: 256 | lm loss: 2.846144E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.580 | TFLOPs: 28.27 | 7: iteration 31210/ 37905 | consumed samples: 7989760 | consumed tokens: 16363028480 | elapsed time per iteration (s): 0.23 | learning rate: 3.377E-05 | global batch size: 256 | lm loss: 2.830118E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.381 | TFLOPs: 28.36 | 7: iteration 31220/ 37905 | consumed samples: 7992320 | consumed tokens: 16368271360 | elapsed time per iteration (s): 0.23 | learning rate: 3.373E-05 | global batch size: 256 | lm loss: 2.860367E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.591 | TFLOPs: 28.29 | 7: iteration 31230/ 37905 | consumed samples: 7994880 | consumed tokens: 16373514240 | elapsed time per iteration (s): 0.23 | learning rate: 3.369E-05 | global batch size: 256 | lm loss: 2.846570E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.479 | TFLOPs: 27.91 | 7: iteration 31240/ 37905 | consumed samples: 7997440 | consumed tokens: 16378757120 | elapsed time per iteration (s): 0.23 | learning rate: 3.365E-05 | global batch size: 256 | lm loss: 2.865291E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.884 | TFLOPs: 28.38 | 7: iteration 31250/ 37905 | consumed samples: 8000000 | consumed tokens: 16384000000 | elapsed 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7: iteration 31310/ 37905 | consumed samples: 8015360 | consumed tokens: 16415457280 | elapsed time per iteration (s): 0.23 | learning rate: 3.337E-05 | global batch size: 256 | lm loss: 2.801393E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.665 | TFLOPs: 28.57 | 7: iteration 31320/ 37905 | consumed samples: 8017920 | consumed tokens: 16420700160 | elapsed time per iteration (s): 0.24 | learning rate: 3.333E-05 | global batch size: 256 | lm loss: 2.868332E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.511 | TFLOPs: 27.20 | 7: iteration 31330/ 37905 | consumed samples: 8020480 | consumed tokens: 16425943040 | elapsed time per iteration (s): 0.24 | learning rate: 3.329E-05 | global batch size: 256 | lm loss: 2.825407E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1049.632 | TFLOPs: 26.74 | 7: iteration 31340/ 37905 | consumed samples: 8023040 | consumed tokens: 16431185920 | elapsed time per iteration (s): 0.23 | learning rate: 3.325E-05 | global batch size: 256 | lm loss: 2.873731E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.035 | TFLOPs: 28.51 | 7: iteration 31350/ 37905 | consumed samples: 8025600 | consumed tokens: 16436428800 | elapsed time per iteration (s): 0.23 | learning rate: 3.322E-05 | global batch size: 256 | lm loss: 2.829917E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.695 | TFLOPs: 28.42 | 7: iteration 31360/ 37905 | consumed samples: 8028160 | consumed tokens: 16441671680 | elapsed time per iteration (s): 0.24 | learning rate: 3.318E-05 | global batch size: 256 | lm loss: 2.871024E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1059.947 | TFLOPs: 27.00 | 7: iteration 31370/ 37905 | consumed samples: 8030720 | consumed tokens: 16446914560 | elapsed time per iteration (s): 0.23 | learning rate: 3.314E-05 | global batch size: 256 | lm loss: 2.830374E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.031 | TFLOPs: 28.10 | 7: iteration 31380/ 37905 | consumed samples: 8033280 | consumed tokens: 16452157440 | elapsed time per iteration (s): 0.23 | learning rate: 3.310E-05 | global batch size: 256 | lm loss: 2.824190E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.247 | TFLOPs: 28.16 | 7: iteration 31390/ 37905 | consumed samples: 8035840 | consumed tokens: 16457400320 | elapsed time per iteration (s): 0.23 | learning rate: 3.306E-05 | global batch size: 256 | lm loss: 2.867106E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.877 | TFLOPs: 28.43 | 7: iteration 31400/ 37905 | consumed samples: 8038400 | consumed tokens: 16462643200 | elapsed time per iteration (s): 0.23 | learning rate: 3.302E-05 | global batch size: 256 | lm loss: 2.833536E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.992 | TFLOPs: 28.07 | 7: iteration 31410/ 37905 | consumed samples: 8040960 | consumed tokens: 16467886080 | elapsed time per iteration (s): 0.23 | learning rate: 3.298E-05 | global batch size: 256 | lm loss: 2.840194E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.697 | TFLOPs: 28.14 | 7: iteration 31420/ 37905 | consumed samples: 8043520 | consumed tokens: 16473128960 | elapsed time per iteration (s): 0.23 | learning rate: 3.294E-05 | global batch size: 256 | lm loss: 2.828292E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.870 | TFLOPs: 28.35 | 7: iteration 31430/ 37905 | consumed samples: 8046080 | consumed tokens: 16478371840 | elapsed time per iteration (s): 0.23 | learning rate: 3.290E-05 | global batch size: 256 | lm loss: 2.871970E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.768 | TFLOPs: 28.14 | 7: iteration 31440/ 37905 | consumed samples: 8048640 | consumed tokens: 16483614720 | elapsed time per iteration (s): 0.23 | learning rate: 3.286E-05 | global batch size: 256 | lm loss: 2.848322E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.330 | TFLOPs: 28.39 | 7: iteration 31450/ 37905 | consumed samples: 8051200 | consumed tokens: 16488857600 | elapsed time per iteration (s): 0.23 | learning rate: 3.282E-05 | global batch size: 256 | lm loss: 2.823725E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.508 | TFLOPs: 28.34 | 7: iteration 31460/ 37905 | consumed samples: 8053760 | consumed tokens: 16494100480 | elapsed time per iteration (s): 0.23 | learning rate: 3.279E-05 | global batch size: 256 | lm loss: 2.873133E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.763 | TFLOPs: 28.48 | 7: iteration 31470/ 37905 | consumed samples: 8056320 | consumed tokens: 16499343360 | elapsed time per iteration (s): 0.23 | learning rate: 3.275E-05 | global batch size: 256 | lm loss: 2.881899E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.596 | TFLOPs: 27.91 | 7: iteration 31480/ 37905 | consumed samples: 8058880 | consumed tokens: 16504586240 | elapsed time per iteration (s): 0.23 | learning rate: 3.271E-05 | global batch size: 256 | lm loss: 2.854180E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.859 | TFLOPs: 28.43 | 7: iteration 31490/ 37905 | consumed samples: 8061440 | consumed tokens: 16509829120 | elapsed time per iteration (s): 0.23 | learning rate: 3.267E-05 | global batch size: 256 | lm loss: 2.827010E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.809 | TFLOPs: 28.53 | 7: iteration 31500/ 37905 | consumed samples: 8064000 | consumed tokens: 16515072000 | elapsed time per iteration (s): 0.23 | learning rate: 3.263E-05 | global batch size: 256 | lm loss: 2.846102E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.009 | TFLOPs: 28.41 | 7: iteration 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second: 1107.265 | TFLOPs: 28.21 | 7: iteration 31540/ 37905 | consumed samples: 8074240 | consumed tokens: 16536043520 | elapsed time per iteration (s): 0.23 | learning rate: 3.248E-05 | global batch size: 256 | lm loss: 2.836709E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.452 | TFLOPs: 28.14 | 7: iteration 31550/ 37905 | consumed samples: 8076800 | consumed tokens: 16541286400 | elapsed time per iteration (s): 0.23 | learning rate: 3.244E-05 | global batch size: 256 | lm loss: 2.845769E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.967 | TFLOPs: 28.23 | 7: iteration 31560/ 37905 | consumed samples: 8079360 | consumed tokens: 16546529280 | elapsed time per iteration (s): 0.23 | learning rate: 3.240E-05 | global batch size: 256 | lm loss: 2.850569E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.444 | TFLOPs: 28.52 | 7: iteration 31570/ 37905 | consumed samples: 8081920 | consumed tokens: 16551772160 | elapsed time per iteration (s): 0.23 | learning rate: 3.236E-05 | global batch size: 256 | lm loss: 2.829573E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.587 | TFLOPs: 28.24 | 7: iteration 31580/ 37905 | consumed samples: 8084480 | consumed tokens: 16557015040 | elapsed time per iteration (s): 0.23 | learning rate: 3.233E-05 | global batch size: 256 | lm loss: 2.850006E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.032 | TFLOPs: 28.51 | 7: iteration 31590/ 37905 | consumed samples: 8087040 | consumed tokens: 16562257920 | elapsed time per iteration (s): 0.23 | learning rate: 3.229E-05 | global batch size: 256 | lm loss: 2.830892E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.980 | TFLOPs: 28.43 | 7: iteration 31600/ 37905 | consumed samples: 8089600 | consumed tokens: 16567500800 | elapsed time per iteration (s): 0.23 | learning rate: 3.225E-05 | global batch size: 256 | lm loss: 2.821836E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.070 | TFLOPs: 28.25 | 7: iteration 31610/ 37905 | consumed samples: 8092160 | consumed tokens: 16572743680 | elapsed time per iteration (s): 0.23 | learning rate: 3.221E-05 | global batch size: 256 | lm loss: 2.821020E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.990 | TFLOPs: 28.05 | 7: iteration 31620/ 37905 | consumed samples: 8094720 | consumed tokens: 16577986560 | elapsed time per iteration (s): 0.24 | learning rate: 3.217E-05 | global batch size: 256 | lm loss: 2.860195E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1046.889 | TFLOPs: 26.67 | 7: iteration 31630/ 37905 | consumed samples: 8097280 | consumed tokens: 16583229440 | elapsed time per iteration (s): 0.25 | learning rate: 3.214E-05 | global batch size: 256 | lm loss: 2.845884E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1025.018 | TFLOPs: 26.11 | 7: iteration 31640/ 37905 | consumed samples: 8099840 | consumed tokens: 16588472320 | elapsed time per iteration (s): 0.23 | learning rate: 3.210E-05 | global batch size: 256 | lm loss: 2.845163E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.505 | TFLOPs: 28.37 | 7: iteration 31650/ 37905 | consumed samples: 8102400 | consumed tokens: 16593715200 | elapsed time per iteration (s): 0.23 | learning rate: 3.206E-05 | global batch size: 256 | lm loss: 2.839955E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.718 | TFLOPs: 28.19 | 7: iteration 31660/ 37905 | consumed samples: 8104960 | consumed tokens: 16598958080 | elapsed time per iteration (s): 0.23 | learning rate: 3.202E-05 | global batch size: 256 | lm loss: 2.826314E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.281 | TFLOPs: 28.28 | 7: iteration 31670/ 37905 | consumed samples: 8107520 | consumed tokens: 16604200960 | elapsed time per iteration (s): 0.23 | learning rate: 3.199E-05 | global batch size: 256 | lm loss: 2.856165E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.571 | TFLOPs: 28.27 | 7: iteration 31680/ 37905 | consumed samples: 8110080 | consumed tokens: 16609443840 | elapsed time per iteration (s): 0.23 | learning rate: 3.195E-05 | global batch size: 256 | lm loss: 2.823232E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.276 | TFLOPs: 28.06 | 7: iteration 31690/ 37905 | consumed samples: 8112640 | consumed tokens: 16614686720 | elapsed time per iteration (s): 0.23 | learning rate: 3.191E-05 | global batch size: 256 | lm loss: 2.861093E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.307 | TFLOPs: 28.11 | 7: iteration 31700/ 37905 | consumed samples: 8115200 | consumed tokens: 16619929600 | elapsed time per iteration (s): 0.23 | learning rate: 3.187E-05 | global batch size: 256 | lm loss: 2.821117E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.580 | TFLOPs: 28.65 | 7: iteration 31710/ 37905 | consumed samples: 8117760 | consumed tokens: 16625172480 | elapsed time per iteration (s): 0.23 | learning rate: 3.184E-05 | global batch size: 256 | lm loss: 2.842353E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.365 | TFLOPs: 28.34 | 7: iteration 31720/ 37905 | consumed samples: 8120320 | consumed tokens: 16630415360 | elapsed time per iteration (s): 0.23 | learning rate: 3.180E-05 | global batch size: 256 | lm loss: 2.878348E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.509 | TFLOPs: 28.26 | 7: iteration 31730/ 37905 | consumed samples: 8122880 | consumed tokens: 16635658240 | elapsed time per iteration (s): 0.24 | learning rate: 3.176E-05 | global batch size: 256 | lm loss: 2.869665E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1074.593 | TFLOPs: 27.38 | 7: iteration 31740/ 37905 | consumed samples: 8125440 | consumed tokens: 16640901120 | elapsed time per iteration (s): 0.24 | learning rate: 3.172E-05 | global batch size: 256 | lm loss: 2.863953E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.950 | TFLOPs: 27.61 | 7: iteration 31750/ 37905 | consumed samples: 8128000 | consumed tokens: 16646144000 | elapsed time per iteration (s): 0.23 | learning rate: 3.169E-05 | global batch size: 256 | lm loss: 2.833833E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.000 | TFLOPs: 28.23 | 7: iteration 31760/ 37905 | consumed samples: 8130560 | consumed tokens: 16651386880 | elapsed time per iteration (s): 0.23 | learning rate: 3.165E-05 | global batch size: 256 | lm loss: 2.879571E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.851 | TFLOPs: 27.87 | 7: iteration 31770/ 37905 | consumed samples: 8133120 | consumed tokens: 16656629760 | elapsed time per iteration (s): 0.23 | learning rate: 3.161E-05 | global batch size: 256 | lm loss: 2.834900E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.652 | TFLOPs: 28.50 | 7: iteration 31780/ 37905 | consumed samples: 8135680 | consumed tokens: 16661872640 | elapsed time per iteration (s): 0.23 | learning rate: 3.158E-05 | global batch size: 256 | lm loss: 2.853788E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.344 | TFLOPs: 28.46 | 7: iteration 31790/ 37905 | consumed samples: 8138240 | consumed tokens: 16667115520 | elapsed time per iteration (s): 0.24 | learning rate: 3.154E-05 | global batch size: 256 | lm loss: 2.854147E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1060.938 | TFLOPs: 27.03 | 7: iteration 31800/ 37905 | consumed samples: 8140800 | consumed tokens: 16672358400 | elapsed time per iteration (s): 0.23 | learning rate: 3.150E-05 | global batch size: 256 | lm loss: 2.855156E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.184 | TFLOPs: 28.31 | 7: iteration 31810/ 37905 | consumed samples: 8143360 | consumed tokens: 16677601280 | elapsed time per iteration (s): 0.23 | learning rate: 3.146E-05 | global batch size: 256 | lm loss: 2.837929E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.435 | TFLOPs: 28.34 | 7: iteration 31820/ 37905 | consumed samples: 8145920 | consumed tokens: 16682844160 | elapsed time per iteration (s): 0.23 | learning rate: 3.143E-05 | global batch size: 256 | lm loss: 2.845959E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.939 | TFLOPs: 27.97 | 7: iteration 31830/ 37905 | consumed samples: 8148480 | consumed tokens: 16688087040 | elapsed time per iteration (s): 0.23 | learning rate: 3.139E-05 | global batch size: 256 | lm loss: 2.875371E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1123.463 | TFLOPs: 28.62 | 7: iteration 31840/ 37905 | consumed samples: 8151040 | consumed tokens: 16693329920 | elapsed time per iteration (s): 0.24 | learning rate: 3.135E-05 | global batch size: 256 | lm loss: 2.837883E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.056 | TFLOPs: 27.59 | 7: iteration 31850/ 37905 | consumed samples: 8153600 | consumed tokens: 16698572800 | elapsed time per iteration (s): 0.23 | learning rate: 3.132E-05 | global batch size: 256 | lm loss: 2.850294E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.998 | TFLOPs: 28.35 | 7: iteration 31860/ 37905 | consumed samples: 8156160 | consumed tokens: 16703815680 | elapsed time per iteration (s): 0.23 | learning rate: 3.128E-05 | global batch size: 256 | lm loss: 2.808373E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.456 | TFLOPs: 28.09 | 7: iteration 31870/ 37905 | consumed samples: 8158720 | consumed tokens: 16709058560 | elapsed time per iteration (s): 0.23 | learning rate: 3.124E-05 | global batch size: 256 | lm loss: 2.838505E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.077 | TFLOPs: 28.00 | 7: iteration 31880/ 37905 | consumed samples: 8161280 | consumed tokens: 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| consumed samples: 8168960 | consumed tokens: 16730030080 | elapsed time per iteration (s): 0.23 | learning rate: 3.110E-05 | global batch size: 256 | lm loss: 2.857204E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.025 | TFLOPs: 28.10 | 7: iteration 31920/ 37905 | consumed samples: 8171520 | consumed tokens: 16735272960 | elapsed time per iteration (s): 0.24 | learning rate: 3.106E-05 | global batch size: 256 | lm loss: 2.813522E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1048.225 | TFLOPs: 26.70 | 7: iteration 31930/ 37905 | consumed samples: 8174080 | consumed tokens: 16740515840 | elapsed time per iteration (s): 0.24 | learning rate: 3.103E-05 | global batch size: 256 | lm loss: 2.845305E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 1120.009 | TFLOPs: 28.53 | 7: iteration 31970/ 37905 | consumed samples: 8184320 | consumed tokens: 16761487360 | elapsed time per iteration (s): 0.23 | learning rate: 3.088E-05 | global batch size: 256 | lm loss: 2.868812E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.612 | TFLOPs: 27.86 | 7: iteration 31980/ 37905 | consumed samples: 8186880 | consumed tokens: 16766730240 | elapsed time per iteration (s): 0.25 | learning rate: 3.085E-05 | global batch size: 256 | lm loss: 2.840471E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1039.751 | TFLOPs: 26.49 | 7: iteration 31990/ 37905 | consumed samples: 8189440 | consumed tokens: 16771973120 | elapsed time per iteration (s): 0.23 | learning rate: 3.081E-05 | global batch size: 256 | lm loss: 2.847073E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.785 | TFLOPs: 27.86 | 0: [2022-11-24 19:32:46,306] [INFO] [logging.py:68:log_dist] [Rank 0] step=32000, skipped=0, lr=[3.077546313866371e-05, 3.077546313866371e-05, 3.077546313866371e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 32000/ 37905 | consumed samples: 8192000 | consumed tokens: 16777216000 | elapsed time per iteration (s): 0.23 | learning rate: 3.078E-05 | global batch size: 256 | lm loss: 2.817202E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.687 | TFLOPs: 28.12 | 0: steps: 32000 loss: 2.7414 iter time (s): 0.232 samples/sec: 1104.110 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 32000 | lm loss value: 2.636276E+00 | lm loss PPL: 1.396112E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 32000 to checkpoints_83mwarmup 0: [2022-11-24 19:32:46,396] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step32000 is begin to save! 0: [2022-11-24 19:32:46,399] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step32000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:32:46,471] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step32000/layer_01-model_00-model_states.pt. 0: [2022-11-24 19:32:46,472] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step32000/layer_03-model_00-model_states.pt... 0: [2022-11-24 19:32:46,483] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step32000/layer_03-model_00-model_states.pt. 0: [2022-11-24 19:32:46,483] [INFO] 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checkpoints_83mwarmup/global_step32000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-24 19:32:46,632] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step32000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-24 19:32:46,632] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step32000 is ready now! 4: [2022-11-24 19:32:46,632] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step32000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:32:46,632] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step32000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-24 19:32:46,632] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step32000 is ready now! 4: [2022-11-24 19:32:46,633] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step32000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-24 19:32:46,633] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step32000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-24 19:32:46,633] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step32000 is ready now! 0: successfully saved checkpoint at iteration 32000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 239.61 7: iteration 32010/ 37905 | consumed samples: 8194560 | consumed tokens: 16782458880 | elapsed time per iteration (s): 0.26 | learning rate: 3.074E-05 | global batch size: 256 | lm loss: 2.840245E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 978.441 | TFLOPs: 24.93 | 7: iteration 32020/ 37905 | consumed samples: 8197120 | consumed tokens: 16787701760 | elapsed time per iteration (s): 0.23 | learning rate: 3.070E-05 | global batch size: 256 | lm loss: 2.816640E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.903 | TFLOPs: 27.89 | 7: iteration 32030/ 37905 | consumed samples: 8199680 | consumed tokens: 16792944640 | elapsed time per iteration (s): 0.23 | learning rate: 3.067E-05 | global batch size: 256 | lm loss: 2.844102E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.724 | TFLOPs: 28.47 | 7: iteration 32040/ 37905 | consumed samples: 8202240 | consumed tokens: 16798187520 | elapsed time per iteration (s): 0.23 | learning rate: 3.063E-05 | global batch size: 256 | lm loss: 2.874367E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.537 | TFLOPs: 28.21 | 7: iteration 32050/ 37905 | consumed samples: 8204800 | consumed tokens: 16803430400 | elapsed time per iteration (s): 0.23 | learning rate: 3.060E-05 | global batch size: 256 | lm loss: 2.876623E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.321 | TFLOPs: 28.46 | 7: iteration 32060/ 37905 | consumed samples: 8207360 | consumed tokens: 16808673280 | elapsed time per iteration (s): 0.23 | learning rate: 3.056E-05 | global batch size: 256 | lm loss: 2.831229E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.826 | TFLOPs: 27.76 | 7: iteration 32070/ 37905 | consumed samples: 8209920 | consumed tokens: 16813916160 | elapsed time per iteration (s): 0.23 | learning rate: 3.053E-05 | global batch size: 256 | lm loss: 2.842715E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.906 | TFLOPs: 28.25 | 7: iteration 32080/ 37905 | consumed samples: 8212480 | consumed tokens: 16819159040 | elapsed time per iteration (s): 0.23 | learning rate: 3.049E-05 | global batch size: 256 | lm loss: 2.868170E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.917 | TFLOPs: 27.79 | 7: iteration 32090/ 37905 | consumed samples: 8215040 | consumed tokens: 16824401920 | elapsed time per iteration (s): 0.24 | learning rate: 3.046E-05 | global batch size: 256 | lm loss: 2.868901E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.387 | TFLOPs: 27.65 | 7: iteration 32100/ 37905 | consumed samples: 8217600 | consumed tokens: 16829644800 | elapsed time per iteration (s): 0.23 | learning rate: 3.042E-05 | global batch size: 256 | lm loss: 2.854338E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.752 | TFLOPs: 28.27 | 7: iteration 32110/ 37905 | consumed samples: 8220160 | consumed tokens: 16834887680 | elapsed time per iteration (s): 0.23 | learning rate: 3.039E-05 | global batch size: 256 | lm loss: 2.845155E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.454 | TFLOPs: 28.57 | 7: iteration 32120/ 37905 | consumed samples: 8222720 | consumed tokens: 16840130560 | elapsed time per iteration (s): 0.23 | learning rate: 3.035E-05 | global batch size: 256 | lm loss: 2.838994E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.433 | TFLOPs: 28.26 | 7: iteration 32130/ 37905 | consumed samples: 8225280 | consumed tokens: 16845373440 | elapsed time per iteration (s): 0.23 | learning rate: 3.032E-05 | global batch size: 256 | lm loss: 2.888509E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.331 | TFLOPs: 28.57 | 7: iteration 32140/ 37905 | consumed samples: 8227840 | consumed tokens: 16850616320 | elapsed time per iteration (s): 0.23 | learning rate: 3.028E-05 | global batch size: 256 | lm loss: 2.795465E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.718 | TFLOPs: 28.04 | 7: iteration 32150/ 37905 | consumed samples: 8230400 | consumed tokens: 16855859200 | elapsed time per iteration (s): 0.23 | learning rate: 3.025E-05 | global batch size: 256 | lm loss: 2.827524E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.677 | TFLOPs: 28.24 | 7: iteration 32160/ 37905 | consumed samples: 8232960 | consumed tokens: 16861102080 | elapsed time per iteration (s): 0.23 | learning rate: 3.021E-05 | global batch size: 256 | lm loss: 2.867488E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.087 | TFLOPs: 28.20 | 7: iteration 32170/ 37905 | consumed samples: 8235520 | consumed tokens: 16866344960 | elapsed time per iteration (s): 0.23 | learning rate: 3.018E-05 | global batch size: 256 | lm loss: 2.830301E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.526 | TFLOPs: 28.16 | 7: iteration 32180/ 37905 | consumed samples: 8238080 | consumed tokens: 16871587840 | elapsed time per iteration (s): 0.23 | learning rate: 3.014E-05 | global batch size: 256 | lm loss: 2.841302E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.756 | TFLOPs: 28.45 | 7: iteration 32190/ 37905 | consumed samples: 8240640 | consumed tokens: 16876830720 | elapsed time per iteration (s): 0.23 | learning rate: 3.011E-05 | global batch size: 256 | lm loss: 2.836576E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.524 | TFLOPs: 28.47 | 7: iteration 32200/ 37905 | consumed samples: 8243200 | consumed tokens: 16882073600 | elapsed time per iteration (s): 0.23 | learning rate: 3.007E-05 | global batch size: 256 | lm loss: 2.866164E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.134 | TFLOPs: 28.56 | 7: iteration 32210/ 37905 | consumed samples: 8245760 | consumed tokens: 16887316480 | elapsed time per iteration (s): 0.23 | learning rate: 3.004E-05 | global batch size: 256 | lm loss: 2.848045E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.092 | TFLOPs: 28.20 | 7: iteration 32220/ 37905 | consumed samples: 8248320 | consumed tokens: 16892559360 | elapsed time per iteration (s): 0.23 | learning rate: 3.000E-05 | global batch size: 256 | lm loss: 2.835085E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.994 | TFLOPs: 28.23 | 7: iteration 32230/ 37905 | consumed samples: 8250880 | consumed tokens: 16897802240 | elapsed time per iteration (s): 0.24 | learning rate: 2.997E-05 | global batch size: 256 | lm loss: 2.822847E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.892 | TFLOPs: 27.48 | 7: iteration 32240/ 37905 | consumed samples: 8253440 | consumed tokens: 16903045120 | elapsed time per iteration (s): 0.23 | learning rate: 2.993E-05 | global batch size: 256 | lm loss: 2.858213E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.270 | TFLOPs: 28.00 | 7: iteration 32250/ 37905 | consumed samples: 8256000 | consumed tokens: 16908288000 | elapsed time per iteration (s): 0.23 | learning rate: 2.990E-05 | global batch size: 256 | lm loss: 2.848770E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.300 | TFLOPs: 28.36 | 7: iteration 32260/ 37905 | consumed samples: 8258560 | consumed tokens: 16913530880 | elapsed time per iteration (s): 0.23 | learning rate: 2.986E-05 | global batch size: 256 | lm loss: 2.932464E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.455 | TFLOPs: 27.80 | 7: iteration 32270/ 37905 | consumed samples: 8261120 | consumed tokens: 16918773760 | elapsed time per iteration (s): 0.25 | learning rate: 2.983E-05 | global batch size: 256 | lm loss: 2.851326E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1034.309 | TFLOPs: 26.35 | 7: iteration 32280/ 37905 | consumed samples: 8263680 | consumed tokens: 16924016640 | elapsed time per iteration (s): 0.23 | learning rate: 2.980E-05 | global batch size: 256 | lm loss: 2.827417E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.192 | TFLOPs: 28.08 | 7: iteration 32290/ 37905 | consumed samples: 8266240 | consumed tokens: 16929259520 | elapsed time per iteration (s): 0.23 | learning rate: 2.976E-05 | global batch size: 256 | lm loss: 2.860685E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.765 | TFLOPs: 28.20 | 7: iteration 32300/ 37905 | consumed samples: 8268800 | consumed tokens: 16934502400 | elapsed time per iteration (s): 0.23 | learning rate: 2.973E-05 | global batch size: 256 | lm loss: 2.845083E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.047 | TFLOPs: 27.92 | 7: iteration 32310/ 37905 | consumed samples: 8271360 | consumed tokens: 16939745280 | elapsed time per iteration (s): 0.23 | learning rate: 2.969E-05 | global batch size: 256 | lm loss: 2.850221E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.561 | TFLOPs: 27.96 | 7: iteration 32320/ 37905 | consumed samples: 8273920 | consumed tokens: 16944988160 | elapsed time per iteration (s): 0.23 | learning rate: 2.966E-05 | global batch size: 256 | lm loss: 2.874073E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.598 | TFLOPs: 28.52 | 7: iteration 32330/ 37905 | consumed samples: 8276480 | consumed tokens: 16950231040 | elapsed time per iteration (s): 0.23 | learning rate: 2.963E-05 | global batch size: 256 | lm loss: 2.862165E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.770 | TFLOPs: 28.07 | 7: iteration 32340/ 37905 | consumed samples: 8279040 | consumed tokens: 16955473920 | elapsed time per iteration (s): 0.23 | learning rate: 2.959E-05 | global batch size: 256 | lm loss: 2.866762E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.308 | TFLOPs: 28.16 | 7: iteration 32350/ 37905 | consumed samples: 8281600 | consumed tokens: 16960716800 | elapsed time per iteration (s): 0.23 | learning rate: 2.956E-05 | global batch size: 256 | lm loss: 2.874391E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.243 | TFLOPs: 28.44 | 7: iteration 32360/ 37905 | consumed samples: 8284160 | consumed tokens: 16965959680 | elapsed time per iteration (s): 0.23 | learning rate: 2.952E-05 | global batch size: 256 | lm loss: 2.837534E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.419 | TFLOPs: 28.21 | 7: iteration 32370/ 37905 | consumed samples: 8286720 | consumed tokens: 16971202560 | elapsed time per iteration (s): 0.26 | learning rate: 2.949E-05 | global batch size: 256 | lm loss: 2.841660E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 991.262 | TFLOPs: 25.25 | 7: iteration 32380/ 37905 | consumed samples: 8289280 | consumed tokens: 16976445440 | elapsed time per iteration (s): 0.23 | learning rate: 2.946E-05 | global batch size: 256 | lm loss: 2.834986E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.820 | TFLOPs: 28.12 | 7: iteration 32390/ 37905 | consumed samples: 8291840 | consumed tokens: 16981688320 | elapsed time per iteration (s): 0.24 | learning rate: 2.942E-05 | global batch size: 256 | lm loss: 2.842652E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.606 | TFLOPs: 27.68 | 7: iteration 32400/ 37905 | consumed samples: 8294400 | consumed tokens: 16986931200 | elapsed time per iteration (s): 0.23 | learning rate: 2.939E-05 | global batch size: 256 | lm loss: 2.819921E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.274 | TFLOPs: 28.06 | 7: iteration 32410/ 37905 | consumed samples: 8296960 | consumed tokens: 16992174080 | elapsed time per iteration (s): 0.24 | learning rate: 2.936E-05 | global batch size: 256 | lm loss: 2.829182E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1054.131 | TFLOPs: 26.85 | 7: iteration 32420/ 37905 | consumed samples: 8299520 | consumed tokens: 16997416960 | elapsed time per iteration (s): 0.24 | learning rate: 2.932E-05 | global batch size: 256 | lm loss: 2.851044E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1062.619 | TFLOPs: 27.07 | 7: iteration 32430/ 37905 | consumed samples: 8302080 | consumed tokens: 17002659840 | elapsed time per iteration (s): 0.24 | learning rate: 2.929E-05 | global batch size: 256 | lm loss: 2.833834E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1067.055 | TFLOPs: 27.18 | 7: iteration 32440/ 37905 | consumed samples: 8304640 | consumed tokens: 17007902720 | elapsed time per iteration (s): 0.23 | learning rate: 2.926E-05 | global batch size: 256 | lm loss: 2.868510E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.202 | TFLOPs: 28.36 | 7: iteration 32450/ 37905 | consumed samples: 8307200 | consumed tokens: 17013145600 | elapsed time per iteration (s): 0.23 | learning rate: 2.922E-05 | global batch size: 256 | lm loss: 2.825940E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.128 | TFLOPs: 28.41 | 7: iteration 32460/ 37905 | consumed samples: 8309760 | consumed tokens: 17018388480 | elapsed time per iteration (s): 0.23 | learning rate: 2.919E-05 | global batch size: 256 | lm loss: 2.841782E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.483 | TFLOPs: 28.24 | 7: iteration 32470/ 37905 | consumed samples: 8312320 | consumed tokens: 17023631360 | elapsed time per iteration (s): 0.23 | learning rate: 2.916E-05 | global batch size: 256 | lm loss: 2.862370E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.589 | TFLOPs: 28.09 | 7: iteration 32480/ 37905 | consumed samples: 8314880 | consumed tokens: 17028874240 | elapsed time per iteration (s): 0.23 | learning rate: 2.912E-05 | global batch size: 256 | lm loss: 2.847113E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.556 | TFLOPs: 28.11 | 7: iteration 32490/ 37905 | consumed samples: 8317440 | consumed tokens: 17034117120 | elapsed time per iteration (s): 0.23 | learning rate: 2.909E-05 | global batch size: 256 | lm loss: 2.789658E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.854 | TFLOPs: 28.55 | 7: iteration 32500/ 37905 | consumed samples: 8320000 | consumed tokens: 17039360000 | elapsed time per iteration (s): 0.23 | learning rate: 2.906E-05 | global batch size: 256 | lm loss: 2.818179E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1121.219 | TFLOPs: 28.56 | 7: iteration 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second: 1104.715 | TFLOPs: 28.14 | 7: iteration 32540/ 37905 | consumed samples: 8330240 | consumed tokens: 17060331520 | elapsed time per iteration (s): 0.23 | learning rate: 2.893E-05 | global batch size: 256 | lm loss: 2.830454E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.906 | TFLOPs: 28.17 | 7: iteration 32550/ 37905 | consumed samples: 8332800 | consumed tokens: 17065574400 | elapsed time per iteration (s): 0.25 | learning rate: 2.889E-05 | global batch size: 256 | lm loss: 2.868806E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1036.002 | TFLOPs: 26.39 | 7: iteration 32560/ 37905 | consumed samples: 8335360 | consumed tokens: 17070817280 | elapsed time per iteration (s): 0.24 | learning rate: 2.886E-05 | global batch size: 256 | lm loss: 2.850081E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.722 | TFLOPs: 27.35 | 7: iteration 32570/ 37905 | consumed samples: 8337920 | consumed tokens: 17076060160 | elapsed time per iteration (s): 0.23 | learning rate: 2.883E-05 | global batch size: 256 | lm loss: 2.828213E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.054 | TFLOPs: 28.08 | 7: iteration 32580/ 37905 | consumed samples: 8340480 | consumed tokens: 17081303040 | elapsed time per iteration (s): 0.23 | learning rate: 2.880E-05 | global batch size: 256 | lm loss: 2.820614E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.010 | TFLOPs: 28.00 | 7: iteration 32590/ 37905 | consumed samples: 8343040 | consumed tokens: 17086545920 | elapsed time per iteration (s): 0.24 | learning rate: 2.876E-05 | global batch size: 256 | lm loss: 2.849516E+00 | grad norm: 0.199 | 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| consumed samples: 8424960 | consumed tokens: 17254318080 | elapsed time per iteration (s): 0.24 | learning rate: 2.776E-05 | global batch size: 256 | lm loss: 2.832725E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1065.889 | TFLOPs: 27.15 | 7: iteration 32920/ 37905 | consumed samples: 8427520 | consumed tokens: 17259560960 | elapsed time per iteration (s): 0.24 | learning rate: 2.772E-05 | global batch size: 256 | lm loss: 2.821554E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1047.065 | TFLOPs: 26.67 | 7: iteration 32930/ 37905 | consumed samples: 8430080 | consumed tokens: 17264803840 | elapsed time per iteration (s): 0.23 | learning rate: 2.769E-05 | global batch size: 256 | lm loss: 2.879329E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.508 | TFLOPs: 28.39 | 7: iteration 33000/ 37905 | consumed samples: 8448000 | consumed tokens: 17301504000 | elapsed time per iteration (s): 0.24 | learning rate: 2.748E-05 | global batch size: 256 | lm loss: 2.876455E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1052.988 | TFLOPs: 26.83 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 33000 | lm loss value: 2.739609E+00 | lm loss PPL: 1.548093E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 33000 to checkpoints_83mwarmup 0: [2022-11-24 19:36:39,450] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step33000 is begin to save! 0: [2022-11-24 19:36:39,455] [INFO] 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[Torch] Saved checkpoints_83mwarmup/global_step33000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 2: [2022-11-24 19:36:39,680] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step33000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-24 19:36:39,680] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step33000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2022-11-24 19:36:39,680] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 2: [2022-11-24 19:36:39,680] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 5: [2022-11-24 19:36:39,680] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step33000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 0: [2022-11-24 19:36:39,680] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.598 | TFLOPs: 27.83 | 7: iteration 33300/ 37905 | consumed samples: 8524800 | consumed tokens: 17458790400 | elapsed time per iteration (s): 0.24 | learning rate: 2.661E-05 | global batch size: 256 | lm loss: 2.812191E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.117 | TFLOPs: 27.72 | 7: iteration 33310/ 37905 | consumed samples: 8527360 | consumed tokens: 17464033280 | elapsed time per iteration (s): 0.23 | learning rate: 2.658E-05 | global batch size: 256 | lm loss: 2.890979E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.780 | TFLOPs: 28.04 | 7: iteration 33320/ 37905 | consumed samples: 8529920 | consumed tokens: 17469276160 | elapsed time per iteration (s): 0.23 | learning rate: 2.655E-05 | global batch size: 256 | lm loss: 2.878631E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.936 | TFLOPs: 28.43 | 7: iteration 33330/ 37905 | consumed samples: 8532480 | consumed tokens: 17474519040 | elapsed time per iteration (s): 0.25 | learning rate: 2.652E-05 | global batch size: 256 | lm loss: 2.838336E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1035.856 | TFLOPs: 26.39 | 7: iteration 33340/ 37905 | consumed samples: 8535040 | consumed tokens: 17479761920 | elapsed time per iteration (s): 0.23 | learning rate: 2.649E-05 | global batch size: 256 | lm loss: 2.849873E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.962 | TFLOPs: 28.20 | 7: iteration 33350/ 37905 | consumed samples: 8537600 | consumed tokens: 17485004800 | elapsed time per iteration 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256 | lm loss: 2.826616E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.777 | TFLOPs: 28.14 | 7: iteration 33530/ 37905 | consumed samples: 8583680 | consumed tokens: 17579376640 | elapsed time per iteration (s): 0.23 | learning rate: 2.597E-05 | global batch size: 256 | lm loss: 2.832374E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.910 | TFLOPs: 28.40 | 7: iteration 33540/ 37905 | consumed samples: 8586240 | consumed tokens: 17584619520 | elapsed time per iteration (s): 0.23 | learning rate: 2.594E-05 | global batch size: 256 | lm loss: 2.844881E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.301 | TFLOPs: 28.36 | 7: iteration 33550/ 37905 | consumed samples: 8588800 | consumed tokens: 17589862400 | elapsed time per iteration (s): 0.24 | 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1103.746 | TFLOPs: 28.12 | 7: iteration 33640/ 37905 | consumed samples: 8611840 | consumed tokens: 17637048320 | elapsed time per iteration (s): 0.23 | learning rate: 2.568E-05 | global batch size: 256 | lm loss: 2.859821E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.125 | TFLOPs: 28.18 | 7: iteration 33650/ 37905 | consumed samples: 8614400 | consumed tokens: 17642291200 | elapsed time per iteration (s): 0.25 | learning rate: 2.565E-05 | global batch size: 256 | lm loss: 2.852764E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1039.090 | TFLOPs: 26.47 | 7: iteration 33660/ 37905 | consumed samples: 8616960 | consumed tokens: 17647534080 | elapsed time per iteration (s): 0.24 | learning rate: 2.562E-05 | global batch size: 256 | lm loss: 2.846697E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.442 | TFLOPs: 27.45 | 7: iteration 33670/ 37905 | consumed samples: 8619520 | consumed tokens: 17652776960 | elapsed time per iteration (s): 0.24 | learning rate: 2.560E-05 | global batch size: 256 | lm loss: 2.816445E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.662 | TFLOPs: 27.61 | 7: iteration 33680/ 37905 | consumed samples: 8622080 | consumed tokens: 17658019840 | elapsed time per iteration (s): 0.24 | learning rate: 2.557E-05 | global batch size: 256 | lm loss: 2.832791E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.153 | TFLOPs: 27.64 | 7: iteration 33690/ 37905 | consumed samples: 8624640 | consumed tokens: 17663262720 | elapsed time per iteration (s): 0.23 | learning rate: 2.555E-05 | global batch size: 256 | lm loss: 2.832124E+00 | grad norm: 0.187 | num 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| consumed samples: 8655360 | consumed tokens: 17726177280 | elapsed time per iteration (s): 0.23 | learning rate: 2.524E-05 | global batch size: 256 | lm loss: 2.872271E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.839 | TFLOPs: 28.50 | 7: iteration 33820/ 37905 | consumed samples: 8657920 | consumed tokens: 17731420160 | elapsed time per iteration (s): 0.25 | learning rate: 2.521E-05 | global batch size: 256 | lm loss: 2.850994E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1031.908 | TFLOPs: 26.29 | 7: iteration 33830/ 37905 | consumed samples: 8660480 | consumed tokens: 17736663040 | elapsed time per iteration (s): 0.24 | learning rate: 2.519E-05 | global batch size: 256 | lm loss: 2.873497E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1063.170 | TFLOPs: 27.08 | 7: iteration 33840/ 37905 | consumed samples: 8663040 | consumed tokens: 17741905920 | elapsed time per iteration (s): 0.23 | learning rate: 2.516E-05 | global batch size: 256 | lm loss: 2.888879E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.287 | TFLOPs: 27.93 | 7: iteration 33850/ 37905 | consumed samples: 8665600 | consumed tokens: 17747148800 | elapsed time per iteration (s): 0.24 | learning rate: 2.514E-05 | global batch size: 256 | lm loss: 2.884526E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1051.016 | TFLOPs: 26.77 | 7: iteration 33860/ 37905 | consumed samples: 8668160 | consumed tokens: 17752391680 | elapsed time per iteration (s): 0.24 | learning rate: 2.511E-05 | global batch size: 256 | lm loss: 2.819535E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | 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zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.885 | TFLOPs: 27.71 | 7: iteration 33900/ 37905 | consumed samples: 8678400 | consumed tokens: 17773363200 | elapsed time per iteration (s): 0.24 | learning rate: 2.501E-05 | global batch size: 256 | lm loss: 2.832605E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.990 | TFLOPs: 27.46 | 7: iteration 33910/ 37905 | consumed samples: 8680960 | consumed tokens: 17778606080 | elapsed time per iteration (s): 0.23 | learning rate: 2.499E-05 | global batch size: 256 | lm loss: 2.862153E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.914 | TFLOPs: 28.15 | 7: iteration 33920/ 37905 | consumed samples: 8683520 | consumed tokens: 17783848960 | elapsed time per iteration (s): 0.24 | learning rate: 2.496E-05 | global batch size: 256 | lm loss: 2.840095E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.026 | TFLOPs: 27.41 | 7: iteration 33930/ 37905 | consumed samples: 8686080 | consumed tokens: 17789091840 | elapsed time per iteration (s): 0.23 | learning rate: 2.494E-05 | global batch size: 256 | lm loss: 2.813168E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.439 | TFLOPs: 27.91 | 7: iteration 33940/ 37905 | consumed samples: 8688640 | consumed tokens: 17794334720 | elapsed time per iteration (s): 0.23 | learning rate: 2.491E-05 | global batch size: 256 | lm loss: 2.834670E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.033 | TFLOPs: 28.53 | 7: iteration 33950/ 37905 | consumed samples: 8691200 | consumed tokens: 17799577600 | elapsed time per iteration (s): 0.24 | learning rate: 2.489E-05 | global batch size: 256 | lm loss: 2.843936E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1073.960 | TFLOPs: 27.36 | 7: iteration 33960/ 37905 | consumed samples: 8693760 | consumed tokens: 17804820480 | elapsed time per iteration (s): 0.23 | learning rate: 2.486E-05 | global batch size: 256 | lm loss: 2.842506E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.179 | TFLOPs: 28.46 | 7: iteration 33970/ 37905 | consumed samples: 8696320 | consumed tokens: 17810063360 | elapsed time per iteration (s): 0.23 | learning rate: 2.484E-05 | global batch size: 256 | lm loss: 2.814146E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.762 | TFLOPs: 27.86 | 7: iteration 33980/ 37905 | consumed samples: 8698880 | consumed tokens: 17815306240 | elapsed time per iteration (s): 0.23 | learning rate: 2.482E-05 | global batch size: 256 | lm loss: 2.839257E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.454 | TFLOPs: 28.52 | 7: iteration 33990/ 37905 | consumed samples: 8701440 | consumed tokens: 17820549120 | elapsed time per iteration (s): 0.23 | learning rate: 2.479E-05 | global batch size: 256 | lm loss: 2.842012E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.948 | TFLOPs: 28.38 | 0: [2022-11-24 19:40:37,172] [INFO] [logging.py:68:log_dist] [Rank 0] step=34000, skipped=0, lr=[2.4766896881602934e-05, 2.4766896881602934e-05, 2.4766896881602934e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 34000/ 37905 | consumed samples: 8704000 | consumed tokens: 17825792000 | elapsed time per iteration (s): 0.24 | learning rate: 2.477E-05 | global batch size: 256 | lm loss: 2.862147E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.736 | TFLOPs: 27.40 | 0: steps: 34000 loss: 2.9277 iter time (s): 0.234 samples/sec: 1093.861 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 34000 | lm loss value: 2.716606E+00 | lm loss PPL: 1.512889E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 34000 to checkpoints_83mwarmup 0: [2022-11-24 19:40:37,337] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step34000 is begin to save! 0: [2022-11-24 19:40:37,418] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step34000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:40:37,688] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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consumed samples: 8706560 | consumed tokens: 17831034880 | elapsed time per iteration (s): 0.30 | learning rate: 2.474E-05 | global batch size: 256 | lm loss: 2.871646E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.574 | TFLOPs: 22.03 | 7: iteration 34020/ 37905 | consumed samples: 8709120 | consumed tokens: 17836277760 | elapsed time per iteration (s): 0.23 | learning rate: 2.472E-05 | global batch size: 256 | lm loss: 2.856966E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.786 | TFLOPs: 28.40 | 7: iteration 34030/ 37905 | consumed samples: 8711680 | consumed tokens: 17841520640 | elapsed time per iteration (s): 0.23 | learning rate: 2.469E-05 | global batch size: 256 | lm loss: 2.845157E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.823 | TFLOPs: 28.04 | 7: iteration 34040/ 37905 | consumed samples: 8714240 | consumed tokens: 17846763520 | elapsed time per iteration (s): 0.24 | learning rate: 2.467E-05 | global batch size: 256 | lm loss: 2.851317E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.064 | TFLOPs: 27.49 | 7: iteration 34050/ 37905 | consumed samples: 8716800 | consumed tokens: 17852006400 | elapsed time per iteration (s): 0.24 | learning rate: 2.465E-05 | global batch size: 256 | lm loss: 2.841546E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.310 | TFLOPs: 27.60 | 7: iteration 34060/ 37905 | consumed samples: 8719360 | consumed tokens: 17857249280 | elapsed time per iteration (s): 0.23 | learning rate: 2.462E-05 | global batch size: 256 | lm loss: 2.804855E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.069 | TFLOPs: 28.00 | 7: iteration 34070/ 37905 | consumed samples: 8721920 | consumed tokens: 17862492160 | elapsed time per iteration (s): 0.24 | learning rate: 2.460E-05 | global batch size: 256 | lm loss: 2.816936E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.768 | TFLOPs: 27.61 | 7: iteration 34080/ 37905 | consumed samples: 8724480 | consumed tokens: 17867735040 | elapsed time per iteration (s): 0.23 | learning rate: 2.458E-05 | global batch size: 256 | lm loss: 2.862430E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.924 | TFLOPs: 28.17 | 7: iteration 34090/ 37905 | consumed samples: 8727040 | consumed tokens: 17872977920 | elapsed time per iteration (s): 0.23 | learning rate: 2.455E-05 | global batch size: 256 | lm loss: 2.861653E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.901 | TFLOPs: 28.30 | 7: iteration 34100/ 37905 | consumed samples: 8729600 | consumed tokens: 17878220800 | elapsed time per iteration (s): 0.23 | learning rate: 2.453E-05 | global batch size: 256 | lm loss: 2.838535E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.559 | TFLOPs: 27.88 | 7: iteration 34110/ 37905 | consumed samples: 8732160 | consumed tokens: 17883463680 | elapsed time per iteration (s): 0.23 | learning rate: 2.450E-05 | global batch size: 256 | lm loss: 2.823958E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.405 | TFLOPs: 28.52 | 7: iteration 34120/ 37905 | consumed samples: 8734720 | consumed tokens: 17888706560 | elapsed time per iteration (s): 0.23 | learning rate: 2.448E-05 | global batch size: 256 | lm loss: 2.845137E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.202 | TFLOPs: 28.41 | 7: iteration 34130/ 37905 | consumed samples: 8737280 | consumed tokens: 17893949440 | elapsed time per iteration (s): 0.24 | learning rate: 2.446E-05 | global batch size: 256 | lm loss: 2.872592E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.655 | TFLOPs: 27.17 | 7: iteration 34140/ 37905 | consumed samples: 8739840 | consumed tokens: 17899192320 | elapsed time per iteration (s): 0.23 | learning rate: 2.443E-05 | global batch size: 256 | lm loss: 2.800683E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.066 | TFLOPs: 27.77 | 7: iteration 34150/ 37905 | consumed samples: 8742400 | consumed tokens: 17904435200 | elapsed time per iteration (s): 0.24 | learning rate: 2.441E-05 | global batch size: 256 | lm loss: 2.832823E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1074.156 | TFLOPs: 27.36 | 7: iteration 34160/ 37905 | consumed samples: 8744960 | consumed tokens: 17909678080 | elapsed time per iteration (s): 0.23 | learning rate: 2.439E-05 | global batch size: 256 | lm loss: 2.829704E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.955 | TFLOPs: 27.95 | 7: iteration 34170/ 37905 | consumed samples: 8747520 | consumed tokens: 17914920960 | elapsed time per iteration (s): 0.23 | learning rate: 2.436E-05 | global batch size: 256 | lm loss: 2.840511E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.839 | TFLOPs: 28.48 | 7: iteration 34180/ 37905 | consumed samples: 8750080 | consumed tokens: 17920163840 | elapsed time per iteration (s): 0.24 | learning rate: 2.434E-05 | global batch size: 256 | lm loss: 2.881447E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1064.300 | TFLOPs: 27.11 | 7: iteration 34190/ 37905 | consumed samples: 8752640 | consumed tokens: 17925406720 | elapsed time per iteration (s): 0.24 | learning rate: 2.432E-05 | global batch size: 256 | lm loss: 2.857807E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1051.409 | TFLOPs: 26.78 | 7: iteration 34200/ 37905 | consumed samples: 8755200 | consumed tokens: 17930649600 | elapsed time per iteration (s): 0.23 | learning rate: 2.429E-05 | global batch size: 256 | lm loss: 2.811862E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.534 | TFLOPs: 28.52 | 7: iteration 34210/ 37905 | consumed samples: 8757760 | consumed tokens: 17935892480 | elapsed time per iteration (s): 0.23 | learning rate: 2.427E-05 | global batch size: 256 | lm loss: 2.829104E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.925 | TFLOPs: 28.40 | 7: iteration 34220/ 37905 | consumed samples: 8760320 | consumed tokens: 17941135360 | elapsed time per iteration (s): 0.23 | learning rate: 2.425E-05 | global batch size: 256 | lm loss: 2.848395E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.297 | TFLOPs: 28.28 | 7: iteration 34230/ 37905 | consumed samples: 8762880 | consumed tokens: 17946378240 | elapsed time per iteration (s): 0.23 | learning rate: 2.423E-05 | global batch size: 256 | lm loss: 2.808107E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.017 | TFLOPs: 28.33 | 7: iteration 34240/ 37905 | consumed samples: 8765440 | consumed tokens: 17951621120 | elapsed time per iteration (s): 0.23 | learning rate: 2.420E-05 | global batch size: 256 | lm loss: 2.824335E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.583 | TFLOPs: 28.50 | 7: iteration 34250/ 37905 | consumed samples: 8768000 | consumed tokens: 17956864000 | elapsed time per iteration (s): 0.23 | learning rate: 2.418E-05 | global batch size: 256 | lm loss: 2.838557E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.895 | TFLOPs: 28.17 | 7: iteration 34260/ 37905 | consumed samples: 8770560 | consumed tokens: 17962106880 | elapsed time per iteration (s): 0.24 | learning rate: 2.416E-05 | global batch size: 256 | lm loss: 2.839106E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1087.573 | TFLOPs: 27.71 | 7: iteration 34270/ 37905 | consumed samples: 8773120 | consumed tokens: 17967349760 | elapsed time per iteration (s): 0.23 | learning rate: 2.414E-05 | global batch size: 256 | lm loss: 2.861380E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.470 | TFLOPs: 28.37 | 7: iteration 34280/ 37905 | consumed samples: 8775680 | consumed tokens: 17972592640 | elapsed time per iteration (s): 0.23 | learning rate: 2.411E-05 | global batch size: 256 | lm loss: 2.857314E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.322 | TFLOPs: 28.03 | 7: iteration 34290/ 37905 | consumed samples: 8778240 | consumed tokens: 17977835520 | elapsed time per iteration (s): 0.24 | learning rate: 2.409E-05 | global batch size: 256 | lm loss: 2.874210E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1055.310 | TFLOPs: 26.88 | 7: iteration 34300/ 37905 | consumed samples: 8780800 | consumed tokens: 17983078400 | elapsed time per iteration (s): 0.23 | learning rate: 2.407E-05 | global batch size: 256 | lm loss: 2.867565E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.520 | TFLOPs: 28.49 | 7: iteration 34310/ 37905 | consumed samples: 8783360 | consumed tokens: 17988321280 | elapsed time per iteration (s): 0.39 | learning rate: 2.405E-05 | global batch size: 256 | lm loss: 2.840147E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 649.287 | TFLOPs: 16.54 | 7: iteration 34320/ 37905 | consumed samples: 8785920 | consumed tokens: 17993564160 | elapsed time per iteration (s): 0.24 | learning rate: 2.402E-05 | global batch size: 256 | lm loss: 2.890440E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.228 | TFLOPs: 27.39 | 7: iteration 34330/ 37905 | consumed samples: 8788480 | consumed tokens: 17998807040 | elapsed time per iteration (s): 0.23 | learning rate: 2.400E-05 | global batch size: 256 | lm loss: 2.866633E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.493 | TFLOPs: 27.83 | 7: iteration 34340/ 37905 | consumed samples: 8791040 | consumed tokens: 18004049920 | elapsed time per iteration (s): 0.23 | learning rate: 2.398E-05 | global batch size: 256 | lm loss: 2.816396E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.747 | TFLOPs: 28.14 | 7: iteration 34350/ 37905 | consumed samples: 8793600 | consumed tokens: 18009292800 | elapsed time per iteration (s): 0.23 | learning rate: 2.396E-05 | global batch size: 256 | lm loss: 2.817761E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.707 | TFLOPs: 28.27 | 7: iteration 34360/ 37905 | consumed samples: 8796160 | consumed tokens: 18014535680 | elapsed time per iteration (s): 0.23 | learning rate: 2.393E-05 | global batch size: 256 | lm loss: 2.803214E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.721 | TFLOPs: 28.32 | 7: iteration 34370/ 37905 | consumed samples: 8798720 | consumed tokens: 18019778560 | elapsed time per iteration (s): 0.23 | learning rate: 2.391E-05 | global batch size: 256 | lm loss: 2.863028E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.193 | TFLOPs: 28.51 | 7: iteration 34380/ 37905 | consumed samples: 8801280 | consumed tokens: 18025021440 | elapsed time per iteration (s): 0.23 | learning rate: 2.389E-05 | global batch size: 256 | lm loss: 2.874382E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.761 | TFLOPs: 28.14 | 7: iteration 34390/ 37905 | consumed samples: 8803840 | consumed tokens: 18030264320 | elapsed time per iteration (s): 0.23 | learning rate: 2.387E-05 | global batch size: 256 | lm loss: 2.814398E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.178 | TFLOPs: 28.46 | 7: iteration 34400/ 37905 | consumed samples: 8806400 | consumed tokens: 18035507200 | elapsed time per iteration (s): 0.23 | learning rate: 2.385E-05 | global batch size: 256 | lm loss: 2.869449E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.061 | TFLOPs: 27.85 | 7: iteration 34410/ 37905 | consumed samples: 8808960 | consumed tokens: 18040750080 | elapsed time per iteration (s): 0.24 | learning rate: 2.383E-05 | global batch size: 256 | lm loss: 2.864954E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1054.744 | TFLOPs: 26.87 | 7: iteration 34420/ 37905 | consumed samples: 8811520 | consumed tokens: 18045992960 | elapsed time per iteration (s): 0.23 | learning rate: 2.380E-05 | global batch size: 256 | lm loss: 2.855967E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.350 | TFLOPs: 27.93 | 7: iteration 34430/ 37905 | consumed samples: 8814080 | consumed tokens: 18051235840 | elapsed time per iteration (s): 0.23 | learning rate: 2.378E-05 | global batch size: 256 | lm loss: 2.865675E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.382 | TFLOPs: 27.75 | 7: iteration 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second: 1108.438 | TFLOPs: 28.24 | 7: iteration 34470/ 37905 | consumed samples: 8824320 | consumed tokens: 18072207360 | elapsed time per iteration (s): 0.23 | learning rate: 2.370E-05 | global batch size: 256 | lm loss: 2.815149E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.925 | TFLOPs: 28.10 | 7: iteration 34480/ 37905 | consumed samples: 8826880 | consumed tokens: 18077450240 | elapsed time per iteration (s): 0.24 | learning rate: 2.367E-05 | global batch size: 256 | lm loss: 2.813115E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1088.325 | TFLOPs: 27.73 | 7: iteration 34490/ 37905 | consumed samples: 8829440 | consumed tokens: 18082693120 | elapsed time per iteration (s): 0.23 | learning rate: 2.365E-05 | global batch size: 256 | lm loss: 2.842558E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.191 | TFLOPs: 28.28 | 7: iteration 34500/ 37905 | consumed samples: 8832000 | consumed tokens: 18087936000 | elapsed time per iteration (s): 0.23 | learning rate: 2.363E-05 | global batch size: 256 | lm loss: 2.796247E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.720 | TFLOPs: 28.24 | 7: iteration 34510/ 37905 | consumed samples: 8834560 | consumed tokens: 18093178880 | elapsed time per iteration (s): 0.23 | learning rate: 2.361E-05 | global batch size: 256 | lm loss: 2.813872E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.223 | TFLOPs: 28.16 | 7: iteration 34520/ 37905 | consumed samples: 8837120 | consumed tokens: 18098421760 | elapsed time per iteration (s): 0.23 | learning rate: 2.359E-05 | global batch size: 256 | lm loss: 2.828576E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.549 | TFLOPs: 28.42 | 7: iteration 34530/ 37905 | consumed samples: 8839680 | consumed tokens: 18103664640 | elapsed time per iteration (s): 0.24 | learning rate: 2.357E-05 | global batch size: 256 | lm loss: 2.850628E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1059.541 | TFLOPs: 26.99 | 7: iteration 34540/ 37905 | consumed samples: 8842240 | consumed tokens: 18108907520 | elapsed time per iteration (s): 0.24 | learning rate: 2.355E-05 | global batch size: 256 | lm loss: 2.821160E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.758 | TFLOPs: 27.61 | 7: iteration 34550/ 37905 | consumed samples: 8844800 | consumed tokens: 18114150400 | elapsed time per iteration (s): 0.23 | learning rate: 2.353E-05 | global batch size: 256 | lm loss: 2.865190E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.134 | TFLOPs: 27.92 | 7: iteration 34560/ 37905 | consumed samples: 8847360 | consumed tokens: 18119393280 | elapsed time per iteration (s): 0.23 | learning rate: 2.351E-05 | global batch size: 256 | lm loss: 2.808319E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.993 | TFLOPs: 28.20 | 7: iteration 34570/ 37905 | consumed samples: 8849920 | consumed tokens: 18124636160 | elapsed time per iteration (s): 0.23 | learning rate: 2.349E-05 | global batch size: 256 | lm loss: 2.838224E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.959 | TFLOPs: 28.30 | 7: iteration 34580/ 37905 | consumed samples: 8852480 | consumed tokens: 18129879040 | elapsed time per iteration (s): 0.24 | learning rate: 2.346E-05 | global batch size: 256 | lm loss: 2.867629E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1068.020 | TFLOPs: 27.21 | 7: iteration 34590/ 37905 | consumed samples: 8855040 | consumed tokens: 18135121920 | elapsed time per iteration (s): 0.23 | learning rate: 2.344E-05 | global batch size: 256 | lm loss: 2.802542E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.023 | TFLOPs: 27.97 | 7: iteration 34600/ 37905 | consumed samples: 8857600 | consumed tokens: 18140364800 | elapsed time per iteration (s): 0.23 | learning rate: 2.342E-05 | global batch size: 256 | lm loss: 2.831961E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.890 | TFLOPs: 28.27 | 7: iteration 34610/ 37905 | consumed samples: 8860160 | consumed tokens: 18145607680 | elapsed time per iteration (s): 0.23 | learning rate: 2.340E-05 | global batch size: 256 | lm loss: 2.774458E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.981 | TFLOPs: 27.87 | 7: iteration 34620/ 37905 | consumed samples: 8862720 | consumed tokens: 18150850560 | elapsed time per iteration (s): 0.23 | learning rate: 2.338E-05 | global batch size: 256 | lm loss: 2.821431E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.456 | TFLOPs: 28.01 | 7: iteration 34630/ 37905 | consumed samples: 8865280 | consumed tokens: 18156093440 | elapsed time per iteration (s): 0.23 | learning rate: 2.336E-05 | global batch size: 256 | lm loss: 2.831342E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.110 | TFLOPs: 27.77 | 7: iteration 34640/ 37905 | consumed samples: 8867840 | consumed tokens: 18161336320 | elapsed time per iteration (s): 0.23 | learning rate: 2.334E-05 | global batch size: 256 | lm loss: 2.849810E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.618 | TFLOPs: 28.45 | 7: iteration 34650/ 37905 | consumed samples: 8870400 | consumed tokens: 18166579200 | elapsed time per iteration (s): 0.23 | learning rate: 2.332E-05 | global batch size: 256 | lm loss: 2.848477E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.825 | TFLOPs: 28.27 | 7: iteration 34660/ 37905 | consumed samples: 8872960 | consumed tokens: 18171822080 | elapsed time per iteration (s): 0.23 | learning rate: 2.330E-05 | global batch size: 256 | lm loss: 2.835329E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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------------------------------------------------------------------------------------------- 7: valid loss at iteration 35000 | lm loss value: 2.805857E+00 | lm loss PPL: 1.654124E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 35000 to checkpoints_83mwarmup 0: [2022-11-24 19:44:33,169] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step35000 is begin to save! 0: [2022-11-24 19:44:33,177] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step35000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:44:33,247] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step35000/layer_01-model_00-model_states.pt. 0: [2022-11-24 19:44:33,248] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step35000/layer_03-model_00-model_states.pt... 0: [2022-11-24 19:44:33,259] [INFO] 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[Torch] Saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-24 19:44:33,515] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-24 19:44:33,515] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-24 19:44:33,515] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-24 19:44:33,515] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-24 19:44:33,515] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-24 19:44:33,515] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-24 19:44:33,515] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now! 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now! 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now! 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now! 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now! 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now! 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-24 19:44:33,515] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now! 1: [2022-11-24 19:44:33,515] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step35000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-24 19:44:33,516] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now! 0: successfully saved checkpoint at iteration 35000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 351.76 7: iteration 35010/ 37905 | consumed samples: 8962560 | consumed tokens: 18355322880 | elapsed time per iteration (s): 0.27 | learning rate: 2.263E-05 | global batch size: 256 | lm loss: 2.856645E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 942.463 | TFLOPs: 24.01 | 7: iteration 35020/ 37905 | consumed samples: 8965120 | consumed tokens: 18360565760 | elapsed time per iteration (s): 0.23 | learning rate: 2.261E-05 | global batch size: 256 | lm loss: 2.861874E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.333 | TFLOPs: 28.41 | 7: iteration 35030/ 37905 | consumed samples: 8967680 | consumed tokens: 18365808640 | elapsed time per iteration (s): 0.23 | learning rate: 2.259E-05 | global batch size: 256 | lm loss: 2.856959E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.414 | TFLOPs: 28.52 | 7: iteration 35040/ 37905 | consumed samples: 8970240 | consumed tokens: 18371051520 | elapsed time per iteration (s): 0.23 | learning rate: 2.258E-05 | global batch size: 256 | lm loss: 2.835448E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.319 | TFLOPs: 28.01 | 7: iteration 35050/ 37905 | consumed samples: 8972800 | consumed tokens: 18376294400 | elapsed time per iteration (s): 0.23 | learning rate: 2.256E-05 | global batch size: 256 | lm loss: 2.870242E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.517 | TFLOPs: 28.09 | 7: iteration 35060/ 37905 | consumed samples: 8975360 | consumed tokens: 18381537280 | elapsed time per iteration (s): 0.23 | learning rate: 2.254E-05 | global batch size: 256 | lm loss: 2.823952E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.979 | TFLOPs: 28.40 | 7: iteration 35070/ 37905 | consumed samples: 8977920 | consumed tokens: 18386780160 | elapsed time per iteration (s): 0.23 | learning rate: 2.252E-05 | global batch size: 256 | lm loss: 2.853949E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.669 | TFLOPs: 28.35 | 7: iteration 35080/ 37905 | consumed samples: 8980480 | consumed tokens: 18392023040 | elapsed time per iteration (s): 0.23 | learning rate: 2.251E-05 | global batch size: 256 | lm loss: 2.804732E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.735 | TFLOPs: 28.09 | 7: iteration 35090/ 37905 | consumed samples: 8983040 | consumed tokens: 18397265920 | elapsed time per iteration (s): 0.23 | learning rate: 2.249E-05 | global batch size: 256 | lm loss: 2.833480E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.489 | TFLOPs: 28.21 | 7: iteration 35100/ 37905 | consumed samples: 8985600 | consumed tokens: 18402508800 | elapsed time per iteration (s): 0.23 | learning rate: 2.247E-05 | global batch size: 256 | lm loss: 2.810750E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.660 | TFLOPs: 27.86 | 7: iteration 35110/ 37905 | consumed samples: 8988160 | consumed tokens: 18407751680 | elapsed time per iteration (s): 0.23 | learning rate: 2.245E-05 | global batch size: 256 | lm loss: 2.818932E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.879 | TFLOPs: 27.97 | 7: iteration 35120/ 37905 | consumed samples: 8990720 | consumed tokens: 18412994560 | elapsed time per iteration (s): 0.23 | learning rate: 2.244E-05 | global batch size: 256 | lm loss: 2.834082E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.748 | TFLOPs: 28.04 | 7: iteration 35130/ 37905 | consumed samples: 8993280 | consumed tokens: 18418237440 | elapsed time per iteration (s): 0.23 | learning rate: 2.242E-05 | global batch size: 256 | lm loss: 2.849943E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.251 | TFLOPs: 28.05 | 7: iteration 35140/ 37905 | consumed samples: 8995840 | consumed tokens: 18423480320 | elapsed time per iteration (s): 0.24 | learning rate: 2.240E-05 | global batch size: 256 | lm loss: 2.853781E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.825 | TFLOPs: 27.66 | 7: iteration 35150/ 37905 | consumed samples: 8998400 | consumed tokens: 18428723200 | elapsed time per iteration (s): 0.23 | learning rate: 2.238E-05 | global batch size: 256 | lm loss: 2.844053E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.133 | TFLOPs: 28.26 | 7: iteration 35160/ 37905 | consumed samples: 9000960 | consumed tokens: 18433966080 | elapsed time per iteration (s): 0.23 | learning rate: 2.237E-05 | global batch size: 256 | lm loss: 2.832587E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.517 | TFLOPs: 28.04 | 7: iteration 35170/ 37905 | consumed samples: 9003520 | consumed tokens: 18439208960 | elapsed time per iteration (s): 0.25 | learning rate: 2.235E-05 | global batch size: 256 | lm loss: 2.816607E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1010.548 | TFLOPs: 25.74 | 7: iteration 35180/ 37905 | consumed samples: 9006080 | consumed tokens: 18444451840 | elapsed time per iteration (s): 0.23 | learning rate: 2.233E-05 | global batch size: 256 | lm loss: 2.837481E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.433 | TFLOPs: 28.47 | 7: iteration 35190/ 37905 | consumed samples: 9008640 | consumed tokens: 18449694720 | elapsed time per iteration (s): 0.23 | learning rate: 2.231E-05 | global batch size: 256 | lm loss: 2.856687E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.992 | TFLOPs: 27.90 | 7: iteration 35200/ 37905 | consumed samples: 9011200 | consumed tokens: 18454937600 | elapsed time per iteration (s): 0.23 | learning rate: 2.230E-05 | global batch size: 256 | lm loss: 2.860501E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.102 | TFLOPs: 28.43 | 7: iteration 35210/ 37905 | consumed samples: 9013760 | consumed tokens: 18460180480 | elapsed time per iteration (s): 0.23 | learning rate: 2.228E-05 | global batch size: 256 | lm loss: 2.839848E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1092.999 | TFLOPs: 27.84 | 7: iteration 35220/ 37905 | consumed samples: 9016320 | consumed tokens: 18465423360 | elapsed time per iteration (s): 0.23 | learning rate: 2.226E-05 | global batch size: 256 | lm loss: 2.843858E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.679 | TFLOPs: 28.37 | 7: iteration 35230/ 37905 | consumed samples: 9018880 | consumed tokens: 18470666240 | elapsed time per iteration (s): 0.23 | learning rate: 2.225E-05 | global batch size: 256 | lm loss: 2.842574E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.879 | TFLOPs: 28.40 | 7: iteration 35240/ 37905 | consumed samples: 9021440 | consumed tokens: 18475909120 | elapsed time per iteration (s): 0.23 | learning rate: 2.223E-05 | global batch size: 256 | lm loss: 2.829308E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.935 | TFLOPs: 28.33 | 7: iteration 35250/ 37905 | consumed samples: 9024000 | consumed tokens: 18481152000 | elapsed time per iteration (s): 0.23 | learning rate: 2.221E-05 | global batch size: 256 | lm loss: 2.840376E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.871 | TFLOPs: 28.07 | 7: iteration 35260/ 37905 | consumed samples: 9026560 | consumed tokens: 18486394880 | elapsed time per iteration (s): 0.24 | learning rate: 2.220E-05 | global batch size: 256 | lm loss: 2.814277E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.773 | TFLOPs: 27.66 | 7: iteration 35270/ 37905 | consumed samples: 9029120 | consumed tokens: 18491637760 | elapsed time per iteration (s): 0.24 | learning rate: 2.218E-05 | global batch size: 256 | lm loss: 2.826280E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1078.692 | TFLOPs: 27.48 | 7: iteration 35280/ 37905 | consumed samples: 9031680 | consumed tokens: 18496880640 | elapsed time per iteration (s): 0.23 | learning rate: 2.216E-05 | global batch size: 256 | lm loss: 2.862206E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.636 | TFLOPs: 28.17 | 7: iteration 35290/ 37905 | consumed samples: 9034240 | consumed tokens: 18502123520 | elapsed time per iteration (s): 0.23 | learning rate: 2.215E-05 | global batch size: 256 | lm loss: 2.812870E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.370 | TFLOPs: 27.88 | 7: iteration 35300/ 37905 | consumed samples: 9036800 | consumed tokens: 18507366400 | elapsed time per iteration (s): 0.23 | learning rate: 2.213E-05 | global batch size: 256 | lm loss: 2.853378E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.456 | TFLOPs: 27.93 | 7: iteration 35310/ 37905 | consumed samples: 9039360 | consumed tokens: 18512609280 | elapsed time per iteration (s): 0.24 | learning rate: 2.212E-05 | global batch size: 256 | lm loss: 2.827918E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1061.240 | TFLOPs: 27.04 | 7: iteration 35320/ 37905 | consumed samples: 9041920 | consumed tokens: 18517852160 | elapsed time per iteration (s): 0.23 | learning rate: 2.210E-05 | global batch size: 256 | lm loss: 2.862926E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.019 | TFLOPs: 27.97 | 7: iteration 35330/ 37905 | consumed samples: 9044480 | consumed tokens: 18523095040 | elapsed time per iteration (s): 0.24 | learning rate: 2.208E-05 | global batch size: 256 | lm loss: 2.807231E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1047.302 | TFLOPs: 26.68 | 7: iteration 35340/ 37905 | consumed samples: 9047040 | consumed tokens: 18528337920 | elapsed time per iteration (s): 0.24 | learning rate: 2.207E-05 | global batch size: 256 | lm loss: 2.856938E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.046 | TFLOPs: 27.57 | 7: iteration 35350/ 37905 | consumed samples: 9049600 | consumed tokens: 18533580800 | elapsed time per iteration (s): 0.23 | learning rate: 2.205E-05 | global batch size: 256 | lm loss: 2.837953E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1120.461 | TFLOPs: 28.54 | 7: iteration 35360/ 37905 | consumed samples: 9052160 | consumed tokens: 18538823680 | elapsed time per iteration (s): 0.23 | learning rate: 2.204E-05 | global batch size: 256 | lm loss: 2.823056E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.885 | TFLOPs: 27.87 | 7: iteration 35370/ 37905 | consumed samples: 9054720 | consumed tokens: 18544066560 | elapsed time per iteration (s): 0.23 | learning rate: 2.202E-05 | global batch size: 256 | lm loss: 2.830503E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.291 | TFLOPs: 28.00 | 7: iteration 35380/ 37905 | consumed samples: 9057280 | consumed tokens: 18549309440 | elapsed time per iteration (s): 0.23 | learning rate: 2.200E-05 | global batch size: 256 | lm loss: 2.845543E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.208 | TFLOPs: 28.00 | 7: iteration 35390/ 37905 | consumed samples: 9059840 | consumed tokens: 18554552320 | elapsed time per iteration (s): 0.23 | learning rate: 2.199E-05 | global batch size: 256 | lm loss: 2.864072E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.707 | TFLOPs: 28.02 | 7: iteration 35400/ 37905 | consumed samples: 9062400 | consumed tokens: 18559795200 | elapsed time per iteration (s): 0.23 | learning rate: 2.197E-05 | global batch size: 256 | lm loss: 2.867554E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.474 | TFLOPs: 28.42 | 7: iteration 35410/ 37905 | consumed samples: 9064960 | consumed tokens: 18565038080 | elapsed time per iteration (s): 0.23 | learning rate: 2.196E-05 | global batch size: 256 | lm loss: 2.814167E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.200 | TFLOPs: 28.21 | 7: iteration 35420/ 37905 | consumed samples: 9067520 | consumed tokens: 18570280960 | elapsed time per iteration (s): 0.23 | learning rate: 2.194E-05 | global batch size: 256 | lm loss: 2.852099E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.168 | TFLOPs: 27.98 | 7: iteration 35430/ 37905 | consumed samples: 9070080 | consumed tokens: 18575523840 | elapsed time per iteration (s): 0.23 | learning rate: 2.193E-05 | global batch size: 256 | lm loss: 2.831943E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.658 | TFLOPs: 28.45 | 7: iteration 35440/ 37905 | consumed samples: 9072640 | consumed tokens: 18580766720 | elapsed time per iteration (s): 0.23 | learning rate: 2.191E-05 | global batch size: 256 | lm loss: 2.803516E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.381 | TFLOPs: 28.34 | 7: iteration 35450/ 37905 | consumed samples: 9075200 | consumed tokens: 18586009600 | elapsed time per iteration (s): 0.23 | learning rate: 2.189E-05 | global batch size: 256 | lm loss: 2.806482E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.601 | TFLOPs: 27.76 | 7: iteration 35460/ 37905 | consumed samples: 9077760 | consumed tokens: 18591252480 | elapsed time per iteration (s): 0.24 | learning rate: 2.188E-05 | global batch size: 256 | lm loss: 2.815330E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1070.320 | TFLOPs: 27.27 | 7: iteration 35470/ 37905 | consumed samples: 9080320 | consumed tokens: 18596495360 | elapsed time per iteration (s): 0.24 | learning rate: 2.186E-05 | global batch size: 256 | lm loss: 2.839490E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1047.134 | TFLOPs: 26.68 | 7: iteration 35480/ 37905 | consumed samples: 9082880 | consumed tokens: 18601738240 | elapsed time per iteration (s): 0.23 | learning rate: 2.185E-05 | global batch size: 256 | lm loss: 2.857361E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.545 | TFLOPs: 28.34 | 7: iteration 35490/ 37905 | consumed samples: 9085440 | consumed tokens: 18606981120 | elapsed time per iteration (s): 0.23 | learning rate: 2.183E-05 | global batch size: 256 | lm loss: 2.873333E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.995 | TFLOPs: 28.53 | 7: iteration 35500/ 37905 | consumed samples: 9088000 | consumed tokens: 18612224000 | elapsed time per iteration (s): 0.23 | learning rate: 2.182E-05 | global batch size: 256 | lm loss: 2.837854E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.960 | TFLOPs: 28.20 | 7: iteration 35510/ 37905 | consumed samples: 9090560 | consumed tokens: 18617466880 | elapsed time per iteration (s): 0.23 | learning rate: 2.180E-05 | global batch size: 256 | lm loss: 2.837560E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.434 | TFLOPs: 28.24 | 7: iteration 35520/ 37905 | consumed samples: 9093120 | consumed tokens: 18622709760 | elapsed time per iteration (s): 0.24 | learning rate: 2.179E-05 | global batch size: 256 | lm loss: 2.838916E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.023 | TFLOPs: 27.62 | 7: iteration 35530/ 37905 | consumed samples: 9095680 | consumed tokens: 18627952640 | elapsed time per iteration (s): 0.23 | learning rate: 2.177E-05 | global batch size: 256 | lm loss: 2.836175E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.070 | TFLOPs: 28.05 | 7: iteration 35540/ 37905 | consumed samples: 9098240 | consumed tokens: 18633195520 | elapsed time per iteration (s): 0.24 | learning rate: 2.176E-05 | global batch size: 256 | lm loss: 2.826336E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1051.730 | TFLOPs: 26.79 | 7: iteration 35550/ 37905 | consumed samples: 9100800 | consumed tokens: 18638438400 | elapsed time per iteration (s): 0.23 | learning rate: 2.174E-05 | global batch size: 256 | lm loss: 2.862577E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.947 | TFLOPs: 28.10 | 7: iteration 35560/ 37905 | consumed samples: 9103360 | consumed tokens: 18643681280 | elapsed time per iteration (s): 0.23 | learning rate: 2.173E-05 | global batch size: 256 | lm loss: 2.851123E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.128 | TFLOPs: 28.18 | 7: iteration 35570/ 37905 | consumed samples: 9105920 | consumed tokens: 18648924160 | elapsed time per iteration (s): 0.26 | learning rate: 2.171E-05 | global batch size: 256 | lm loss: 2.872107E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1001.025 | TFLOPs: 25.50 | 7: iteration 35580/ 37905 | consumed samples: 9108480 | consumed tokens: 18654167040 | elapsed time per iteration (s): 0.23 | learning rate: 2.170E-05 | global batch size: 256 | lm loss: 2.825436E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.793 | TFLOPs: 28.60 | 7: iteration 35590/ 37905 | consumed samples: 9111040 | consumed tokens: 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| consumed samples: 9118720 | consumed tokens: 18675138560 | elapsed time per iteration (s): 0.25 | learning rate: 2.164E-05 | global batch size: 256 | lm loss: 2.823003E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1033.112 | TFLOPs: 26.32 | 7: iteration 35630/ 37905 | consumed samples: 9121280 | consumed tokens: 18680381440 | elapsed time per iteration (s): 0.23 | learning rate: 2.163E-05 | global batch size: 256 | lm loss: 2.843815E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.883 | TFLOPs: 28.07 | 7: iteration 35640/ 37905 | consumed samples: 9123840 | consumed tokens: 18685624320 | elapsed time per iteration (s): 0.23 | learning rate: 2.161E-05 | global batch size: 256 | lm loss: 2.832738E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 1108.023 | TFLOPs: 28.23 | 7: iteration 35680/ 37905 | consumed samples: 9134080 | consumed tokens: 18706595840 | elapsed time per iteration (s): 0.24 | learning rate: 2.156E-05 | global batch size: 256 | lm loss: 2.852742E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.243 | TFLOPs: 27.67 | 7: iteration 35690/ 37905 | consumed samples: 9136640 | consumed tokens: 18711838720 | elapsed time per iteration (s): 0.23 | learning rate: 2.154E-05 | global batch size: 256 | lm loss: 2.804362E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.765 | TFLOPs: 28.19 | 7: iteration 35700/ 37905 | consumed samples: 9139200 | consumed tokens: 18717081600 | elapsed time per iteration (s): 0.23 | learning rate: 2.153E-05 | global batch size: 256 | lm loss: 2.826623E+00 | grad norm: 0.194 | num 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lm loss: 2.866598E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.163 | TFLOPs: 28.00 | 7: iteration 35740/ 37905 | consumed samples: 9149440 | consumed tokens: 18738053120 | elapsed time per iteration (s): 0.23 | learning rate: 2.147E-05 | global batch size: 256 | lm loss: 2.850440E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.073 | TFLOPs: 28.15 | 7: iteration 35750/ 37905 | consumed samples: 9152000 | consumed tokens: 18743296000 | elapsed time per iteration (s): 0.23 | learning rate: 2.146E-05 | global batch size: 256 | lm loss: 2.850563E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.916 | TFLOPs: 28.35 | 7: iteration 35760/ 37905 | consumed samples: 9154560 | consumed tokens: 18748538880 | elapsed time per iteration (s): 0.25 | learning rate: 2.145E-05 | global batch size: 256 | lm loss: 2.821451E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1010.850 | TFLOPs: 25.75 | 7: iteration 35770/ 37905 | consumed samples: 9157120 | consumed tokens: 18753781760 | elapsed time per iteration (s): 0.27 | learning rate: 2.143E-05 | global batch size: 256 | lm loss: 2.824492E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 934.223 | TFLOPs: 23.80 | 7: iteration 35780/ 37905 | consumed samples: 9159680 | consumed tokens: 18759024640 | elapsed time per iteration (s): 0.28 | learning rate: 2.142E-05 | global batch size: 256 | lm loss: 2.827616E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 920.258 | TFLOPs: 23.44 | 7: iteration 35790/ 37905 | consumed samples: 9162240 | consumed tokens: 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consumed samples: 9169920 | consumed tokens: 18779996160 | elapsed time per iteration (s): 0.23 | learning rate: 2.137E-05 | global batch size: 256 | lm loss: 2.827768E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.630 | TFLOPs: 28.12 | 7: iteration 35830/ 37905 | consumed samples: 9172480 | consumed tokens: 18785239040 | elapsed time per iteration (s): 0.23 | learning rate: 2.135E-05 | global batch size: 256 | lm loss: 2.803222E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.301 | TFLOPs: 28.31 | 7: iteration 35840/ 37905 | consumed samples: 9175040 | consumed tokens: 18790481920 | elapsed time per iteration (s): 0.23 | learning rate: 2.134E-05 | global batch size: 256 | lm loss: 2.809140E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.461 | TFLOPs: 28.09 | 7: iteration 35850/ 37905 | consumed samples: 9177600 | consumed tokens: 18795724800 | elapsed time per iteration (s): 0.24 | learning rate: 2.133E-05 | global batch size: 256 | lm loss: 2.854295E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.961 | TFLOPs: 27.64 | 7: iteration 35860/ 37905 | consumed samples: 9180160 | consumed tokens: 18800967680 | elapsed time per iteration (s): 0.23 | learning rate: 2.132E-05 | global batch size: 256 | lm loss: 2.834021E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1097.990 | TFLOPs: 27.97 | 7: iteration 35870/ 37905 | consumed samples: 9182720 | consumed tokens: 18806210560 | elapsed time per iteration (s): 0.24 | learning rate: 2.130E-05 | global batch size: 256 | lm loss: 2.882268E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.380 | TFLOPs: 27.68 | 7: iteration 35880/ 37905 | consumed samples: 9185280 | consumed tokens: 18811453440 | elapsed time per iteration (s): 0.23 | learning rate: 2.129E-05 | global batch size: 256 | lm loss: 2.830440E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.323 | TFLOPs: 28.49 | 7: iteration 35890/ 37905 | consumed samples: 9187840 | consumed tokens: 18816696320 | elapsed time per iteration (s): 0.24 | learning rate: 2.128E-05 | global batch size: 256 | lm loss: 2.829969E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.191 | TFLOPs: 27.57 | 7: iteration 35900/ 37905 | consumed samples: 9190400 | consumed tokens: 18821939200 | elapsed time per iteration (s): 0.23 | learning rate: 2.127E-05 | global batch size: 256 | lm loss: 2.844950E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.368 | TFLOPs: 28.03 | 7: iteration 35910/ 37905 | consumed samples: 9192960 | consumed tokens: 18827182080 | elapsed time per iteration (s): 0.23 | learning rate: 2.125E-05 | global batch size: 256 | lm loss: 2.829216E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.976 | TFLOPs: 28.38 | 7: iteration 35920/ 37905 | consumed samples: 9195520 | consumed tokens: 18832424960 | elapsed time per iteration (s): 0.23 | learning rate: 2.124E-05 | global batch size: 256 | lm loss: 2.852486E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.870 | TFLOPs: 27.99 | 7: iteration 35930/ 37905 | consumed samples: 9198080 | consumed tokens: 18837667840 | elapsed time per iteration (s): 0.23 | learning rate: 2.123E-05 | global batch size: 256 | lm loss: 2.814364E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.657 | TFLOPs: 28.27 | 7: iteration 35940/ 37905 | consumed samples: 9200640 | consumed tokens: 18842910720 | elapsed time per iteration (s): 0.24 | learning rate: 2.122E-05 | global batch size: 256 | lm loss: 2.826270E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.911 | TFLOPs: 27.64 | 7: iteration 35950/ 37905 | consumed samples: 9203200 | consumed tokens: 18848153600 | elapsed time per iteration (s): 0.23 | learning rate: 2.120E-05 | global batch size: 256 | lm loss: 2.854079E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.793 | TFLOPs: 27.94 | 7: iteration 35960/ 37905 | consumed samples: 9205760 | consumed tokens: 18853396480 | elapsed time per iteration (s): 0.23 | learning rate: 2.119E-05 | global batch size: 256 | lm loss: 2.866531E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.693 | TFLOPs: 28.42 | 7: iteration 35970/ 37905 | consumed samples: 9208320 | consumed tokens: 18858639360 | elapsed time per iteration (s): 0.24 | learning rate: 2.118E-05 | global batch size: 256 | lm loss: 2.842778E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.271 | TFLOPs: 27.67 | 7: iteration 35980/ 37905 | consumed samples: 9210880 | consumed tokens: 18863882240 | elapsed time per iteration (s): 0.23 | learning rate: 2.117E-05 | global batch size: 256 | lm loss: 2.817352E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.823 | TFLOPs: 27.94 | 7: iteration 35990/ 37905 | consumed samples: 9213440 | consumed tokens: 18869125120 | elapsed time per iteration (s): 0.23 | learning rate: 2.115E-05 | global batch size: 256 | lm loss: 2.822274E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.918 | TFLOPs: 27.94 | 0: [2022-11-24 19:48:28,366] [INFO] [logging.py:68:log_dist] [Rank 0] step=36000, skipped=0, lr=[2.1142230010800715e-05, 2.1142230010800715e-05, 2.1142230010800715e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 36000/ 37905 | consumed samples: 9216000 | consumed tokens: 18874368000 | elapsed time per iteration (s): 0.23 | learning rate: 2.114E-05 | global batch size: 256 | lm loss: 2.850650E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.368 | TFLOPs: 27.98 | 0: steps: 36000 loss: 2.8762 iter time (s): 0.234 samples/sec: 1094.250 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 36000 | lm loss value: 2.745205E+00 | lm loss PPL: 1.556780E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 36000 to checkpoints_83mwarmup 0: [2022-11-24 19:48:28,457] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step36000 is begin to save! 0: [2022-11-24 19:48:28,461] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step36000/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:48:28,548] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step36000/layer_01-model_00-model_states.pt. 0: [2022-11-24 19:48:28,549] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step36000/layer_03-model_00-model_states.pt... 0: [2022-11-24 19:48:28,561] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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rate: 2.112E-05 | global batch size: 256 | lm loss: 2.833811E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.121 | TFLOPs: 27.75 | 7: iteration 36030/ 37905 | consumed samples: 9223680 | consumed tokens: 18890096640 | elapsed time per iteration (s): 0.23 | learning rate: 2.111E-05 | global batch size: 256 | lm loss: 2.814334E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.995 | TFLOPs: 28.38 | 7: iteration 36040/ 37905 | consumed samples: 9226240 | consumed tokens: 18895339520 | elapsed time per iteration (s): 0.23 | learning rate: 2.109E-05 | global batch size: 256 | lm loss: 2.829149E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.220 | TFLOPs: 28.18 | 7: iteration 36050/ 37905 | consumed samples: 9228800 | consumed tokens: 18900582400 | elapsed time per iteration (s): 0.23 | learning rate: 2.108E-05 | global batch size: 256 | lm loss: 2.851688E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1124.021 | TFLOPs: 28.63 | 7: iteration 36060/ 37905 | consumed samples: 9231360 | consumed tokens: 18905825280 | elapsed time per iteration (s): 0.23 | learning rate: 2.107E-05 | global batch size: 256 | lm loss: 2.861369E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.062 | TFLOPs: 28.00 | 7: iteration 36070/ 37905 | consumed samples: 9233920 | consumed tokens: 18911068160 | elapsed time per iteration (s): 0.23 | learning rate: 2.106E-05 | global batch size: 256 | lm loss: 2.846979E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.558 | TFLOPs: 28.60 | 7: iteration 36080/ 37905 | consumed 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iterations: 0 | samples per second: 1104.823 | TFLOPs: 28.15 | 7: iteration 36140/ 37905 | consumed samples: 9251840 | consumed tokens: 18947768320 | elapsed time per iteration (s): 0.23 | learning rate: 2.098E-05 | global batch size: 256 | lm loss: 2.818836E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.222 | TFLOPs: 28.46 | 7: iteration 36150/ 37905 | consumed samples: 9254400 | consumed tokens: 18953011200 | elapsed time per iteration (s): 0.23 | learning rate: 2.097E-05 | global batch size: 256 | lm loss: 2.873948E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.886 | TFLOPs: 28.48 | 7: iteration 36160/ 37905 | consumed samples: 9256960 | consumed tokens: 18958254080 | elapsed time per iteration (s): 0.23 | learning rate: 2.096E-05 | global batch size: 256 | lm loss: 2.872980E+00 | grad norm: 0.193 | num zeros: 0.0 | 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time per iteration (s): 0.25 | learning rate: 2.086E-05 | global batch size: 256 | lm loss: 2.822018E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1035.897 | TFLOPs: 26.39 | 7: iteration 36260/ 37905 | consumed samples: 9282560 | consumed tokens: 19010682880 | elapsed time per iteration (s): 0.24 | learning rate: 2.085E-05 | global batch size: 256 | lm loss: 2.811915E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1054.602 | TFLOPs: 26.87 | 7: iteration 36270/ 37905 | consumed samples: 9285120 | consumed tokens: 19015925760 | elapsed time per iteration (s): 0.23 | learning rate: 2.084E-05 | global batch size: 256 | lm loss: 2.856148E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.399 | TFLOPs: 28.06 | 7: iteration 36280/ 37905 | consumed samples: 9287680 | consumed tokens: 19021168640 | elapsed time per iteration (s): 0.23 | learning rate: 2.083E-05 | global batch size: 256 | lm loss: 2.826068E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.405 | TFLOPs: 28.16 | 7: iteration 36290/ 37905 | consumed samples: 9290240 | consumed tokens: 19026411520 | elapsed time per iteration (s): 0.23 | learning rate: 2.082E-05 | global batch size: 256 | lm loss: 2.857371E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.763 | TFLOPs: 27.89 | 7: iteration 36300/ 37905 | consumed samples: 9292800 | consumed tokens: 19031654400 | elapsed time per iteration (s): 0.23 | learning rate: 2.081E-05 | global batch size: 256 | lm loss: 2.860120E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.252 | TFLOPs: 28.08 | 7: iteration 36310/ 37905 | consumed samples: 9295360 | consumed tokens: 19036897280 | elapsed time per iteration (s): 0.23 | learning rate: 2.080E-05 | global batch size: 256 | lm loss: 2.855272E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1089.643 | TFLOPs: 27.76 | 7: iteration 36320/ 37905 | consumed samples: 9297920 | consumed tokens: 19042140160 | elapsed time per iteration (s): 0.23 | learning rate: 2.079E-05 | global batch size: 256 | lm loss: 2.824823E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.424 | TFLOPs: 28.21 | 7: iteration 36330/ 37905 | consumed samples: 9300480 | consumed tokens: 19047383040 | elapsed time per iteration (s): 0.24 | learning rate: 2.078E-05 | global batch size: 256 | lm loss: 2.803856E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.794 | TFLOPs: 27.46 | 7: iteration 36340/ 37905 | consumed samples: 9303040 | consumed tokens: 19052625920 | elapsed time per iteration (s): 0.24 | learning rate: 2.077E-05 | global batch size: 256 | lm loss: 2.843262E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.019 | TFLOPs: 27.49 | 7: iteration 36350/ 37905 | consumed samples: 9305600 | consumed tokens: 19057868800 | elapsed time per iteration (s): 0.23 | learning rate: 2.076E-05 | global batch size: 256 | lm loss: 2.809795E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.009 | TFLOPs: 27.87 | 7: iteration 36360/ 37905 | consumed samples: 9308160 | consumed tokens: 19063111680 | elapsed time per iteration (s): 0.23 | learning rate: 2.075E-05 | global batch size: 256 | lm loss: 2.850839E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped 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norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1023.619 | TFLOPs: 26.08 | 7: iteration 36400/ 37905 | consumed samples: 9318400 | consumed tokens: 19084083200 | elapsed time per iteration (s): 0.23 | learning rate: 2.071E-05 | global batch size: 256 | lm loss: 2.859734E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.381 | TFLOPs: 28.19 | 7: iteration 36410/ 37905 | consumed samples: 9320960 | consumed tokens: 19089326080 | elapsed time per iteration (s): 0.24 | learning rate: 2.070E-05 | global batch size: 256 | lm loss: 2.819537E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1083.108 | TFLOPs: 27.59 | 7: iteration 36420/ 37905 | consumed samples: 9323520 | consumed tokens: 19094568960 | elapsed time per iteration (s): 0.23 | learning rate: 2.069E-05 | global batch size: 256 | lm loss: 2.822672E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.208 | TFLOPs: 27.93 | 7: iteration 36430/ 37905 | consumed samples: 9326080 | consumed tokens: 19099811840 | elapsed time per iteration (s): 0.23 | learning rate: 2.069E-05 | global batch size: 256 | lm loss: 2.837306E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.821 | TFLOPs: 27.81 | 7: iteration 36440/ 37905 | consumed samples: 9328640 | consumed tokens: 19105054720 | elapsed time per iteration (s): 0.23 | learning rate: 2.068E-05 | global batch size: 256 | lm loss: 2.817305E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1105.493 | TFLOPs: 28.16 | 7: iteration 36450/ 37905 | consumed samples: 9331200 | consumed tokens: 19110297600 | elapsed time per iteration 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36510/ 37905 | consumed samples: 9346560 | consumed tokens: 19141754880 | elapsed time per iteration (s): 0.23 | learning rate: 2.061E-05 | global batch size: 256 | lm loss: 2.848779E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.099 | TFLOPs: 28.43 | 7: iteration 36520/ 37905 | consumed samples: 9349120 | consumed tokens: 19146997760 | elapsed time per iteration (s): 0.23 | learning rate: 2.060E-05 | global batch size: 256 | lm loss: 2.806938E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.025 | TFLOPs: 28.18 | 7: iteration 36530/ 37905 | consumed samples: 9351680 | consumed tokens: 19152240640 | elapsed time per iteration (s): 0.23 | learning rate: 2.060E-05 | global batch size: 256 | lm loss: 2.839497E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.385 | TFLOPs: 28.26 | 7: iteration 36540/ 37905 | consumed samples: 9354240 | consumed tokens: 19157483520 | elapsed time per iteration (s): 0.23 | learning rate: 2.059E-05 | global batch size: 256 | lm loss: 2.840119E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.752 | TFLOPs: 28.50 | 7: iteration 36550/ 37905 | consumed samples: 9356800 | consumed tokens: 19162726400 | elapsed time per iteration (s): 0.23 | learning rate: 2.058E-05 | global batch size: 256 | lm loss: 2.838708E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1094.118 | TFLOPs: 27.87 | 7: iteration 36560/ 37905 | consumed samples: 9359360 | consumed tokens: 19167969280 | elapsed time per iteration (s): 0.23 | learning rate: 2.057E-05 | global batch size: 256 | lm loss: 2.849748E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.883 | TFLOPs: 27.94 | 7: iteration 36570/ 37905 | consumed samples: 9361920 | consumed tokens: 19173212160 | elapsed time per iteration (s): 0.24 | learning rate: 2.056E-05 | global batch size: 256 | lm loss: 2.821920E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.636 | TFLOPs: 27.66 | 7: iteration 36580/ 37905 | consumed samples: 9364480 | consumed tokens: 19178455040 | elapsed time per iteration (s): 0.24 | learning rate: 2.055E-05 | global batch size: 256 | lm loss: 2.807720E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1054.002 | TFLOPs: 26.85 | 7: iteration 36590/ 37905 | consumed samples: 9367040 | consumed tokens: 19183697920 | elapsed time per iteration (s): 0.23 | learning rate: 2.054E-05 | global batch size: 256 | lm loss: 2.827801E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.597 | TFLOPs: 28.42 | 7: iteration 36600/ 37905 | consumed samples: 9369600 | consumed tokens: 19188940800 | elapsed time per iteration (s): 0.23 | learning rate: 2.054E-05 | global batch size: 256 | lm loss: 2.789583E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.033 | TFLOPs: 27.85 | 7: iteration 36610/ 37905 | consumed samples: 9372160 | consumed tokens: 19194183680 | elapsed time per iteration (s): 0.23 | learning rate: 2.053E-05 | global batch size: 256 | lm loss: 2.869041E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.153 | TFLOPs: 28.08 | 7: iteration 36620/ 37905 | consumed samples: 9374720 | consumed tokens: 19199426560 | elapsed time per iteration (s): 0.23 | learning rate: 2.052E-05 | global batch size: 256 | lm loss: 2.839396E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.735 | TFLOPs: 28.12 | 7: iteration 36630/ 37905 | consumed samples: 9377280 | consumed tokens: 19204669440 | elapsed time per iteration (s): 0.23 | learning rate: 2.051E-05 | global batch size: 256 | lm loss: 2.785923E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.920 | TFLOPs: 28.15 | 7: iteration 36640/ 37905 | consumed samples: 9379840 | consumed tokens: 19209912320 | elapsed time per iteration (s): 0.23 | learning rate: 2.050E-05 | global batch size: 256 | lm loss: 2.831048E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.190 | TFLOPs: 28.23 | 7: iteration 36650/ 37905 | consumed samples: 9382400 | consumed tokens: 19215155200 | elapsed time per iteration (s): 0.23 | 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| consumed samples: 9397760 | consumed tokens: 19246612480 | elapsed time per iteration (s): 0.24 | learning rate: 2.045E-05 | global batch size: 256 | lm loss: 2.820555E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1084.994 | TFLOPs: 27.64 | 7: iteration 36720/ 37905 | consumed samples: 9400320 | consumed tokens: 19251855360 | elapsed time per iteration (s): 0.24 | learning rate: 2.044E-05 | global batch size: 256 | lm loss: 2.817146E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1060.275 | TFLOPs: 27.01 | 7: iteration 36730/ 37905 | consumed samples: 9402880 | consumed tokens: 19257098240 | elapsed time per iteration (s): 0.23 | learning rate: 2.044E-05 | global batch size: 256 | lm loss: 2.839787E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.008 | TFLOPs: 28.23 | 7: iteration 36740/ 37905 | consumed samples: 9405440 | consumed tokens: 19262341120 | elapsed time per iteration (s): 0.25 | learning rate: 2.043E-05 | global batch size: 256 | lm loss: 2.849647E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1024.881 | TFLOPs: 26.11 | 7: iteration 36750/ 37905 | consumed samples: 9408000 | consumed tokens: 19267584000 | elapsed time per iteration (s): 0.26 | learning rate: 2.042E-05 | global batch size: 256 | lm loss: 2.825200E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1000.838 | TFLOPs: 25.50 | 7: iteration 36760/ 37905 | consumed samples: 9410560 | consumed tokens: 19272826880 | elapsed time per iteration (s): 0.24 | learning rate: 2.041E-05 | global batch size: 256 | lm loss: 2.842850E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1066.654 | TFLOPs: 27.17 | 7: iteration 36770/ 37905 | consumed samples: 9413120 | consumed tokens: 19278069760 | elapsed time per iteration (s): 0.24 | learning rate: 2.041E-05 | global batch size: 256 | lm loss: 2.825717E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1054.320 | TFLOPs: 26.86 | 7: iteration 36780/ 37905 | consumed samples: 9415680 | consumed tokens: 19283312640 | elapsed time per iteration (s): 0.23 | learning rate: 2.040E-05 | global batch size: 256 | lm loss: 2.864257E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.953 | TFLOPs: 28.20 | 7: iteration 36790/ 37905 | consumed samples: 9418240 | consumed tokens: 19288555520 | elapsed time per iteration (s): 0.23 | learning rate: 2.039E-05 | global batch size: 256 | lm loss: 2.851959E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.581 | TFLOPs: 28.01 | 7: iteration 36800/ 37905 | consumed samples: 9420800 | consumed tokens: 19293798400 | elapsed time per iteration (s): 0.24 | learning rate: 2.038E-05 | global batch size: 256 | lm loss: 2.818377E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1047.196 | TFLOPs: 26.68 | 7: iteration 36810/ 37905 | consumed samples: 9423360 | consumed tokens: 19299041280 | elapsed time per iteration (s): 0.23 | learning rate: 2.038E-05 | global batch size: 256 | lm loss: 2.843359E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.643 | TFLOPs: 28.27 | 7: iteration 36820/ 37905 | consumed samples: 9425920 | consumed tokens: 19304284160 | elapsed time per iteration (s): 0.24 | learning rate: 2.037E-05 | global batch size: 256 | lm loss: 2.848899E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1079.711 | TFLOPs: 27.51 | 7: iteration 36830/ 37905 | consumed samples: 9428480 | consumed tokens: 19309527040 | elapsed time per iteration (s): 0.23 | learning rate: 2.036E-05 | global batch size: 256 | lm loss: 2.847556E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.368 | TFLOPs: 28.52 | 7: iteration 36840/ 37905 | consumed samples: 9431040 | consumed tokens: 19314769920 | elapsed time per iteration (s): 0.26 | learning rate: 2.036E-05 | global batch size: 256 | lm loss: 2.821140E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 977.213 | TFLOPs: 24.89 | 7: iteration 36850/ 37905 | consumed samples: 9433600 | consumed tokens: 19320012800 | elapsed time per iteration (s): 0.23 | learning rate: 2.035E-05 | global batch size: 256 | lm loss: 2.857664E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.834 | TFLOPs: 28.25 | 7: iteration 36860/ 37905 | consumed samples: 9436160 | consumed tokens: 19325255680 | elapsed time per iteration (s): 0.23 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 2.844160E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.720 | TFLOPs: 28.09 | 7: iteration 36870/ 37905 | consumed samples: 9438720 | consumed tokens: 19330498560 | elapsed time per iteration (s): 0.23 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 2.810038E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.925 | TFLOPs: 28.28 | 7: iteration 36880/ 37905 | consumed samples: 9441280 | consumed tokens: 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| consumed samples: 9448960 | consumed tokens: 19351470080 | elapsed time per iteration (s): 0.23 | learning rate: 2.031E-05 | global batch size: 256 | lm loss: 2.871339E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.304 | TFLOPs: 27.80 | 7: iteration 36920/ 37905 | consumed samples: 9451520 | consumed tokens: 19356712960 | elapsed time per iteration (s): 0.23 | learning rate: 2.031E-05 | global batch size: 256 | lm loss: 2.840130E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.464 | TFLOPs: 28.26 | 7: iteration 36930/ 37905 | consumed samples: 9454080 | consumed tokens: 19361955840 | elapsed time per iteration (s): 0.24 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 2.855014E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1071.713 | TFLOPs: 27.30 | 7: iteration 36940/ 37905 | consumed samples: 9456640 | consumed tokens: 19367198720 | elapsed time per iteration (s): 0.23 | learning rate: 2.029E-05 | global batch size: 256 | lm loss: 2.873929E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.662 | TFLOPs: 28.42 | 7: iteration 36950/ 37905 | consumed samples: 9459200 | consumed tokens: 19372441600 | elapsed time per iteration (s): 0.23 | learning rate: 2.029E-05 | global batch size: 256 | lm loss: 2.832374E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1115.914 | TFLOPs: 28.43 | 7: iteration 36960/ 37905 | consumed samples: 9461760 | consumed tokens: 19377684480 | elapsed time per iteration (s): 0.23 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 2.814693E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.164 | TFLOPs: 28.49 | 7: iteration 36970/ 37905 | consumed samples: 9464320 | consumed tokens: 19382927360 | elapsed time per iteration (s): 0.23 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 2.855941E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1100.826 | TFLOPs: 28.04 | 7: iteration 36980/ 37905 | consumed samples: 9466880 | consumed tokens: 19388170240 | elapsed time per iteration (s): 0.23 | learning rate: 2.027E-05 | global batch size: 256 | lm loss: 2.850191E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1117.288 | TFLOPs: 28.46 | 7: iteration 36990/ 37905 | consumed samples: 9469440 | consumed tokens: 19393413120 | elapsed time per iteration (s): 0.23 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.819774E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.029 | TFLOPs: 28.51 | 7: iteration 37000/ 37905 | consumed samples: 9472000 | consumed tokens: 19398656000 | elapsed time per iteration (s): 0.23 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.828000E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.125 | TFLOPs: 28.38 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 37000 | lm loss value: 2.794971E+00 | lm loss PPL: 1.636215E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 37000 to checkpoints_83mwarmup 0: [2022-11-24 19:52:23,307] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step37000 is begin to save! 0: [2022-11-24 19:52:23,310] [INFO] 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iteration 37000 to checkpoints_83mwarmup 7: time (ms) | save-checkpoint: 265.72 7: iteration 37010/ 37905 | consumed samples: 9474560 | consumed tokens: 19403898880 | elapsed time per iteration (s): 0.27 | learning rate: 2.025E-05 | global batch size: 256 | lm loss: 2.856482E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 959.784 | TFLOPs: 24.45 | 7: iteration 37020/ 37905 | consumed samples: 9477120 | consumed tokens: 19409141760 | elapsed time per iteration (s): 0.23 | learning rate: 2.025E-05 | global batch size: 256 | lm loss: 2.810374E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.218 | TFLOPs: 28.08 | 7: iteration 37030/ 37905 | consumed samples: 9479680 | consumed tokens: 19414384640 | elapsed time per iteration (s): 0.24 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.850175E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1086.116 | TFLOPs: 27.67 | 7: iteration 37040/ 37905 | consumed samples: 9482240 | consumed tokens: 19419627520 | elapsed time per iteration (s): 0.23 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.828841E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.167 | TFLOPs: 27.98 | 7: iteration 37050/ 37905 | consumed samples: 9484800 | consumed tokens: 19424870400 | elapsed time per iteration (s): 0.23 | learning rate: 2.023E-05 | global batch size: 256 | lm loss: 2.853571E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.752 | TFLOPs: 27.81 | 7: iteration 37060/ 37905 | consumed samples: 9487360 | consumed tokens: 19430113280 | elapsed time per iteration (s): 0.23 | learning rate: 2.023E-05 | global batch size: 256 | lm loss: 2.829145E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.057 | TFLOPs: 28.18 | 7: iteration 37070/ 37905 | consumed samples: 9489920 | consumed tokens: 19435356160 | elapsed time per iteration (s): 0.23 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 2.826270E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.229 | TFLOPs: 27.80 | 7: iteration 37080/ 37905 | consumed samples: 9492480 | consumed tokens: 19440599040 | elapsed time per iteration (s): 0.24 | learning rate: 2.021E-05 | global batch size: 256 | lm loss: 2.827476E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.048 | TFLOPs: 27.57 | 7: iteration 37090/ 37905 | consumed samples: 9495040 | consumed tokens: 19445841920 | elapsed time per iteration (s): 0.25 | 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19461570560 | elapsed time per iteration (s): 0.24 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.807637E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1085.605 | TFLOPs: 27.66 | 7: iteration 37130/ 37905 | consumed samples: 9505280 | consumed tokens: 19466813440 | elapsed time per iteration (s): 0.23 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.883041E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.670 | TFLOPs: 28.09 | 7: iteration 37140/ 37905 | consumed samples: 9507840 | consumed tokens: 19472056320 | elapsed time per iteration (s): 0.23 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.826306E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.294 | TFLOPs: 28.08 | 7: iteration 37150/ 37905 | consumed samples: 9510400 | consumed tokens: 19477299200 | elapsed time per iteration (s): 0.24 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.838707E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1076.186 | TFLOPs: 27.42 | 7: iteration 37160/ 37905 | consumed samples: 9512960 | consumed tokens: 19482542080 | elapsed time per iteration (s): 0.23 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.855590E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.204 | TFLOPs: 27.90 | 7: iteration 37170/ 37905 | consumed samples: 9515520 | consumed tokens: 19487784960 | elapsed time per iteration (s): 0.23 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 2.810568E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.680 | TFLOPs: 28.35 | 7: iteration 37180/ 37905 | consumed samples: 9518080 | consumed tokens: 19493027840 | elapsed time per iteration (s): 0.23 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 2.836552E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1118.523 | TFLOPs: 28.49 | 7: iteration 37190/ 37905 | consumed samples: 9520640 | consumed tokens: 19498270720 | elapsed time per iteration (s): 0.23 | learning rate: 2.016E-05 | global batch size: 256 | lm loss: 2.831527E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.578 | TFLOPs: 27.81 | 7: iteration 37200/ 37905 | consumed samples: 9523200 | consumed tokens: 19503513600 | elapsed time per iteration (s): 0.23 | learning rate: 2.016E-05 | global batch size: 256 | lm loss: 2.817058E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.065 | TFLOPs: 28.18 | 7: iteration 37210/ 37905 | consumed samples: 9525760 | consumed tokens: 19508756480 | elapsed time per iteration (s): 0.23 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.833242E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1119.071 | TFLOPs: 28.51 | 7: iteration 37220/ 37905 | consumed samples: 9528320 | consumed tokens: 19513999360 | elapsed time per iteration (s): 0.23 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.852629E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1109.272 | TFLOPs: 28.26 | 7: iteration 37230/ 37905 | consumed samples: 9530880 | consumed tokens: 19519242240 | elapsed time per iteration (s): 0.23 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.856818E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1114.098 | TFLOPs: 28.38 | 7: iteration 37240/ 37905 | consumed samples: 9533440 | consumed tokens: 19524485120 | elapsed time per iteration (s): 0.23 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.806127E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.101 | TFLOPs: 28.28 | 7: iteration 37250/ 37905 | consumed samples: 9536000 | consumed tokens: 19529728000 | elapsed time per iteration (s): 0.23 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.842123E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.685 | TFLOPs: 28.35 | 7: iteration 37260/ 37905 | consumed samples: 9538560 | consumed tokens: 19534970880 | elapsed time per iteration (s): 0.23 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.819586E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1095.932 | TFLOPs: 27.92 | 7: iteration 37270/ 37905 | consumed samples: 9541120 | consumed tokens: 19540213760 | elapsed time per iteration (s): 0.23 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.865782E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1122.837 | TFLOPs: 28.60 | 7: iteration 37280/ 37905 | consumed samples: 9543680 | consumed tokens: 19545456640 | elapsed time per iteration (s): 0.23 | learning rate: 2.012E-05 | global batch size: 256 | lm loss: 2.846565E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1103.503 | TFLOPs: 28.11 | 7: iteration 37290/ 37905 | consumed samples: 9546240 | consumed tokens: 19550699520 | elapsed time per iteration (s): 0.23 | 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| consumed samples: 9561600 | consumed tokens: 19582156800 | elapsed time per iteration (s): 0.23 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.835070E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.679 | TFLOPs: 28.35 | 7: iteration 37360/ 37905 | consumed samples: 9564160 | consumed tokens: 19587399680 | elapsed time per iteration (s): 0.23 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.842908E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.742 | TFLOPs: 28.22 | 7: iteration 37370/ 37905 | consumed samples: 9566720 | consumed tokens: 19592642560 | elapsed time per iteration (s): 0.23 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.819205E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.760 | TFLOPs: 28.09 | 7: iteration 37380/ 37905 | consumed samples: 9569280 | consumed tokens: 19597885440 | elapsed time per iteration (s): 0.24 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.874088E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1063.532 | TFLOPs: 27.09 | 7: iteration 37390/ 37905 | consumed samples: 9571840 | consumed tokens: 19603128320 | elapsed time per iteration (s): 0.24 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.822016E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1061.316 | TFLOPs: 27.04 | 7: iteration 37400/ 37905 | consumed samples: 9574400 | consumed tokens: 19608371200 | elapsed time per iteration (s): 0.23 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.822146E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.854 | TFLOPs: 27.99 | 7: iteration 37410/ 37905 | consumed samples: 9576960 | consumed tokens: 19613614080 | elapsed time per iteration (s): 0.24 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.790828E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1072.350 | TFLOPs: 27.32 | 7: iteration 37420/ 37905 | consumed samples: 9579520 | consumed tokens: 19618856960 | elapsed time per iteration (s): 0.24 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.812430E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1075.459 | TFLOPs: 27.40 | 7: iteration 37430/ 37905 | consumed samples: 9582080 | consumed tokens: 19624099840 | elapsed time per iteration (s): 0.23 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.828884E+00 | grad norm: 0.209 | num 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lm loss: 2.847810E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1082.943 | TFLOPs: 27.59 | 7: iteration 37470/ 37905 | consumed samples: 9592320 | consumed tokens: 19645071360 | elapsed time per iteration (s): 0.24 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.858793E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1077.108 | TFLOPs: 27.44 | 7: iteration 37480/ 37905 | consumed samples: 9594880 | consumed tokens: 19650314240 | elapsed time per iteration (s): 0.23 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.832794E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.665 | TFLOPs: 28.45 | 7: iteration 37490/ 37905 | consumed samples: 9597440 | consumed tokens: 19655557120 | elapsed time per iteration (s): 0.25 | 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| consumed samples: 9612800 | consumed tokens: 19687014400 | elapsed time per iteration (s): 0.25 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.817180E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1033.866 | TFLOPs: 26.34 | 7: iteration 37560/ 37905 | consumed samples: 9615360 | consumed tokens: 19692257280 | elapsed time per iteration (s): 0.23 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.789089E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1102.592 | TFLOPs: 28.09 | 7: iteration 37570/ 37905 | consumed samples: 9617920 | consumed tokens: 19697500160 | elapsed time per iteration (s): 0.24 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.835352E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 1100.828 | TFLOPs: 28.04 | 7: iteration 37610/ 37905 | consumed samples: 9628160 | consumed tokens: 19718471680 | elapsed time per iteration (s): 0.23 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.841930E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.125 | TFLOPs: 28.20 | 7: iteration 37620/ 37905 | consumed samples: 9630720 | consumed tokens: 19723714560 | elapsed time per iteration (s): 0.24 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.863986E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1074.114 | TFLOPs: 27.36 | 7: iteration 37630/ 37905 | consumed samples: 9633280 | consumed tokens: 19728957440 | elapsed time per iteration (s): 0.23 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.817160E+00 | grad norm: 0.190 | num 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lm loss: 2.816899E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1111.191 | TFLOPs: 28.31 | 7: iteration 37670/ 37905 | consumed samples: 9643520 | consumed tokens: 19749928960 | elapsed time per iteration (s): 0.23 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.804294E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.924 | TFLOPs: 27.79 | 7: iteration 37680/ 37905 | consumed samples: 9646080 | consumed tokens: 19755171840 | elapsed time per iteration (s): 0.25 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.828609E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1030.551 | TFLOPs: 26.25 | 7: iteration 37690/ 37905 | consumed samples: 9648640 | consumed tokens: 19760414720 | elapsed time per iteration (s): 0.23 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.795498E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.874 | TFLOPs: 28.45 | 7: iteration 37700/ 37905 | consumed samples: 9651200 | consumed tokens: 19765657600 | elapsed time per iteration (s): 0.23 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.874083E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1093.881 | TFLOPs: 27.87 | 7: iteration 37710/ 37905 | consumed samples: 9653760 | consumed tokens: 19770900480 | elapsed time per iteration (s): 0.23 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.878638E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1090.738 | TFLOPs: 27.79 | 7: iteration 37720/ 37905 | consumed samples: 9656320 | consumed tokens: 19776143360 | elapsed time per iteration (s): 0.23 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.864884E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1091.543 | TFLOPs: 27.81 | 7: iteration 37730/ 37905 | consumed samples: 9658880 | consumed tokens: 19781386240 | elapsed time per iteration (s): 0.24 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.837285E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1074.087 | TFLOPs: 27.36 | 7: iteration 37740/ 37905 | consumed samples: 9661440 | consumed tokens: 19786629120 | elapsed time per iteration (s): 0.25 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.843739E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1024.157 | TFLOPs: 26.09 | 7: iteration 37750/ 37905 | consumed samples: 9664000 | consumed tokens: 19791872000 | elapsed time per iteration (s): 0.23 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.834537E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1098.762 | TFLOPs: 27.99 | 7: iteration 37760/ 37905 | consumed samples: 9666560 | consumed tokens: 19797114880 | elapsed time per iteration (s): 0.23 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.826585E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1096.136 | TFLOPs: 27.92 | 7: iteration 37770/ 37905 | consumed samples: 9669120 | consumed tokens: 19802357760 | elapsed time per iteration (s): 0.23 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.829162E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.632 | TFLOPs: 28.34 | 7: iteration 37780/ 37905 | consumed samples: 9671680 | consumed tokens: 19807600640 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.839905E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1106.605 | TFLOPs: 28.19 | 7: iteration 37790/ 37905 | consumed samples: 9674240 | consumed tokens: 19812843520 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.821317E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.600 | TFLOPs: 28.24 | 7: iteration 37800/ 37905 | consumed samples: 9676800 | consumed tokens: 19818086400 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.805186E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.678 | TFLOPs: 28.45 | 7: iteration 37810/ 37905 | consumed samples: 9679360 | consumed tokens: 19823329280 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.791703E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1113.765 | TFLOPs: 28.37 | 7: iteration 37820/ 37905 | consumed samples: 9681920 | consumed tokens: 19828572160 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.820766E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1107.738 | TFLOPs: 28.22 | 7: iteration 37830/ 37905 | consumed samples: 9684480 | consumed tokens: 19833815040 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.865246E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1110.471 | TFLOPs: 28.29 | 7: iteration 37840/ 37905 | consumed samples: 9687040 | consumed tokens: 19839057920 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.809145E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1104.562 | TFLOPs: 28.14 | 7: iteration 37850/ 37905 | consumed samples: 9689600 | consumed tokens: 19844300800 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.834668E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1099.178 | TFLOPs: 28.00 | 7: iteration 37860/ 37905 | consumed samples: 9692160 | consumed tokens: 19849543680 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.857827E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1116.003 | TFLOPs: 28.43 | 7: iteration 37870/ 37905 | consumed samples: 9694720 | consumed tokens: 19854786560 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.844551E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1112.220 | TFLOPs: 28.33 | 7: iteration 37880/ 37905 | consumed samples: 9697280 | consumed tokens: 19860029440 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.839185E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1108.037 | TFLOPs: 28.23 | 7: iteration 37890/ 37905 | consumed samples: 9699840 | consumed tokens: 19865272320 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.849176E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1062.985 | TFLOPs: 27.08 | 7: iteration 37900/ 37905 | consumed samples: 9702400 | consumed tokens: 19870515200 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.810246E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 1101.653 | TFLOPs: 28.06 | 0: [after training is done] datetime: 2022-11-24 19:55:54 0: saving checkpoint at iteration 37905 to checkpoints_83mwarmup 7: ------------------------------------------------------------------------------------------------------------ 7: valid loss at the end of training for val data | lm loss value: 2.790515E+00 | lm loss PPL: 1.628941E+01 | 7: ------------------------------------------------------------------------------------------------------------ 0: [2022-11-24 19:55:55,044] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step37905 is begin to save! 0: [2022-11-24 19:55:55,047] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step37905/layer_01-model_00-model_states.pt... 0: [2022-11-24 19:55:55,143] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step37905/layer_01-model_00-model_states.pt. 0: [2022-11-24 19:55:55,144] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83mwarmup/global_step37905/layer_03-model_00-model_states.pt... 0: [2022-11-24 19:55:55,156] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step37905/layer_03-model_00-model_states.pt. 0: [2022-11-24 19:55:55,156] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now! 3: [2022-11-24 19:55:55,314] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step37905/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-24 19:55:55,314] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now! 0: [2022-11-24 19:55:55,315] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step37905/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2022-11-24 19:55:55,315] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step37905/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2022-11-24 19:55:55,315] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now! 7: [2022-11-24 19:55:55,316] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83mwarmup/global_step37905/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-24 19:55:55,316] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83mwarmup/global_step37905/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-24 19:55:55,316] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now! 0: successfully saved checkpoint at iteration 37905 to checkpoints_83mwarmup 7: ------------------------------------------------------------------------------------------------------------ 7: test loss at the end of training for test data | lm loss value: 2.708815E+00 | lm loss PPL: 1.501147E+01 | 7: ------------------------------------------------------------------------------------------------------------ 4: END 2058110: Thu Nov 24 19:56:07 EET 2022 1: END 2058110: Thu Nov 24 19:56:07 EET 2022 0: END 2058110: Thu Nov 24 19:56:07 EET 2022 6: END 2058110: Thu Nov 24 19:56:07 EET 2022 2: END 2058110: Thu Nov 24 19:56:07 EET 2022 5: END 2058110: Thu Nov 24 19:56:07 EET 2022 7: END 2058110: Thu Nov 24 19:56:07 EET 2022 3: END 2058110: Thu Nov 24 19:56:07 EET 2022