0: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 14: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 13: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 20: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 23: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 17: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 24: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 26: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 9: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 10: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 3: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 21: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 13: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 31: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 13: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 13: START 2068256: Fri Nov 25 18:08:33 EET 2022 19: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 0: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 14: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 5: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 20: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 22: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 23: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 17: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 26: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 10: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 12: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 1: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 30: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 18: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 7: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 27: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 25: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 0: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 14: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 20: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 23: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 17: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 26: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 0: START 2068256: Fri Nov 25 18:08:33 EET 2022 14: START 2068256: Fri Nov 25 18:08:33 EET 2022 20: START 2068256: Fri Nov 25 18:08:33 EET 2022 23: START 2068256: Fri Nov 25 18:08:33 EET 2022 17: START 2068256: Fri Nov 25 18:08:33 EET 2022 26: START 2068256: Fri Nov 25 18:08:33 EET 2022 10: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 10: START 2068256: Fri Nov 25 18:08:33 EET 2022 15: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 28: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 6: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 4: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 16: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 9: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 9: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 29: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 3: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 3: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 9: START 2068256: Fri Nov 25 18:08:33 EET 2022 21: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 21: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 3: START 2068256: Fri Nov 25 18:08:33 EET 2022 21: START 2068256: Fri Nov 25 18:08:33 EET 2022 24: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 24: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 24: START 2068256: Fri Nov 25 18:08:33 EET 2022 31: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 8: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 31: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 31: START 2068256: Fri Nov 25 18:08:33 EET 2022 22: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 22: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 22: START 2068256: Fri Nov 25 18:08:33 EET 2022 19: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 19: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 2: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 19: START 2068256: Fri Nov 25 18:08:33 EET 2022 12: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 12: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 1: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 1: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 12: START 2068256: Fri Nov 25 18:08:33 EET 2022 1: START 2068256: Fri Nov 25 18:08:33 EET 2022 11: Model parameters: d_model 2560 ffw_size 10240 kv_size 128 n_heads 20 n_layers 34 5: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 5: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 5: START 2068256: Fri Nov 25 18:08:33 EET 2022 30: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 30: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 30: START 2068256: Fri Nov 25 18:08:33 EET 2022 27: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 27: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 18: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 18: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 27: START 2068256: Fri Nov 25 18:08:33 EET 2022 18: START 2068256: Fri Nov 25 18:08:33 EET 2022 7: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 7: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 7: START 2068256: Fri Nov 25 18:08:33 EET 2022 25: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 25: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 25: START 2068256: Fri Nov 25 18:08:33 EET 2022 15: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 15: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 28: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 28: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 15: START 2068256: Fri Nov 25 18:08:33 EET 2022 28: START 2068256: Fri Nov 25 18:08:33 EET 2022 6: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 6: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 16: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 16: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 13: 13: 13: ======================= ROCm System Management Interface ======================= 13: ================================= Concise Info ================================= 13: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 13: 0 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 1 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 2 35.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 4 40.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 6 43.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 7 38.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: ================================================================================ 13: ============================= End of ROCm SMI Log ============================== 6: START 2068256: Fri Nov 25 18:08:33 EET 2022 16: START 2068256: Fri Nov 25 18:08:33 EET 2022 4: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 4: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 4: START 2068256: Fri Nov 25 18:08:33 EET 2022 29: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 29: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 8: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 29: START 2068256: Fri Nov 25 18:08:33 EET 2022 8: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 8: START 2068256: Fri Nov 25 18:08:33 EET 2022 2: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 2: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 11: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 34 --hidden-size 2560 --num-attention-heads 20 --kv-channels 128 --ffn-hidden-size 10240 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 17_356_538 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b8 --bf16 --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 17_356_538 --lr-warmup-samples 173_565 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b8 --load checkpoints_2b8 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data 2: START 2068256: Fri Nov 25 18:08:33 EET 2022 11: -impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068256.json --zero-stage 0 11: START 2068256: Fri Nov 25 18:08:33 EET 2022 17: 17: 17: ======================= ROCm System Management Interface ======================= 17: ================================= Concise Info ================================= 17: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 17: 0 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 2 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 4 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 6 38.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 7 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: ================================================================================ 17: ============================= End of ROCm SMI Log ============================== 14: 14: 14: ======================= ROCm System Management Interface ======================= 14: ================================= Concise Info ================================= 14: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 14: 0 46.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 2 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 4 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 6 36.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: ================================================================================ 14: ============================= 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 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 37.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 42.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 23: 23: 23: ======================= ROCm System Management Interface ======================= 23: ================================= Concise Info ================================= 23: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 23: 0 42.0c 100.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 1 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 2 40.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 4 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 6 40.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: ================================================================================ 23: ============================= End of ROCm SMI Log ============================== 20: 20: 20: ======================= ROCm System Management Interface ======================= 20: ================================= Concise Info ================================= 20: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 20: 0 44.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 2 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 4 40.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 6 37.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: ================================================================================ 20: ============================= End of ROCm SMI Log ============================== 10: 10: 10: ======================= ROCm System Management Interface ======================= 10: ================================= Concise Info ================================= 10: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 10: 0 45.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 2 39.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 4 44.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 6 40.0c 99.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: ================================================================================ 10: ============================= End of ROCm SMI Log ============================== 26: 26: 26: ======================= ROCm System Management Interface ======================= 26: ================================= Concise Info ================================= 26: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 26: 0 48.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 2 38.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 4 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 6 46.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: ================================================================================ 26: ============================= End of ROCm SMI Log ============================== 9: 9: 9: ======================= ROCm System Management Interface ======================= 9: ================================= Concise Info ================================= 9: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 9: 0 45.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 1 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 2 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 4 41.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 6 35.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: ================================================================================ 9: ============================= 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 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 45.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: ================================================================================ 3: ============================= End of ROCm SMI Log ============================== 21: 21: 21: ======================= ROCm System Management Interface ======================= 21: ================================= Concise Info ================================= 21: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 21: 0 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 2 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 4 40.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 6 38.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: ================================================================================ 21: ============================= End of ROCm SMI Log ============================== 24: 24: 24: ======================= ROCm System Management Interface ======================= 24: ================================= Concise Info ================================= 24: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 24: 0 40.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 2 37.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 4 38.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 6 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: ================================================================================ 24: ============================= End of ROCm SMI Log ============================== 22: 22: 22: ======================= ROCm System Management Interface ======================= 22: ================================= Concise Info ================================= 22: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 22: 0 43.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 2 42.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 4 44.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 6 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 7 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: ================================================================================ 22: ============================= End of ROCm SMI Log ============================== 31: 31: 31: ======================= ROCm System Management Interface ======================= 31: ================================= Concise Info ================================= 31: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 31: 0 41.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 2 43.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 4 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 6 43.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: ================================================================================ 31: ============================= End of ROCm SMI Log ============================== 19: 19: 19: ======================= ROCm System Management Interface ======================= 19: ================================= Concise Info ================================= 19: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 19: 0 45.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 2 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 4 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 6 39.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: ================================================================================ 19: ============================= End of ROCm SMI Log ============================== 12: 12: 12: ======================= ROCm System Management Interface ======================= 12: ================================= Concise Info ================================= 12: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 12: 0 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 2 41.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 4 44.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 6 38.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: ================================================================================ 12: ============================= 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 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 32.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 44.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 43.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 38.0c 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 42.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 44.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 37.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= End of ROCm SMI Log ============================== 30: 30: 30: ======================= ROCm System Management Interface ======================= 30: ================================= Concise Info ================================= 30: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 30: 0 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 2 41.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 4 46.0c 78.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 6 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: ================================================================================ 30: ============================= End of ROCm SMI Log ============================== 18: 18: 18: ======================= ROCm System Management Interface ======================= 18: ================================= Concise Info ================================= 18: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 18: 0 44.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 1 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 2 38.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 4 44.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 6 40.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: ================================================================================ 18: ============================= End of ROCm SMI Log ============================== 27: 27: 27: ======================= ROCm System Management Interface ======================= 27: ================================= Concise Info ================================= 27: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 27: 0 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 2 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 4 39.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 6 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 7 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: ================================================================================ 27: ============================= End of ROCm SMI Log ============================== 25: 25: 25: ======================= ROCm System Management Interface ======================= 25: ================================= Concise Info ================================= 25: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 25: 0 48.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 2 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 4 45.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 6 38.0c 79.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: ================================================================================ 25: ============================= 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 42.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 46.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 39.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 28: 28: 28: ======================= ROCm System Management Interface ======================= 28: ================================= Concise Info ================================= 28: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 28: 0 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 2 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 4 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 6 40.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: ================================================================================ 28: ============================= End of ROCm SMI Log ============================== 15: 15: 15: ======================= ROCm System Management Interface ======================= 15: ================================= Concise Info ================================= 15: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 15: 0 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 2 45.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 4 43.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 6 41.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: ================================================================================ 15: ============================= End of ROCm SMI Log ============================== 16: 16: 16: ======================= ROCm System Management Interface ======================= 16: ================================= Concise Info ================================= 16: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 16: 0 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 2 40.0c 80.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 4 45.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 6 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: ================================================================================ 16: ============================= 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 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 39.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 42.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 44.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= 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 46.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 39.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= End of ROCm SMI Log ============================== 29: 29: 29: ======================= ROCm System Management Interface ======================= 29: ================================= Concise Info ================================= 29: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 29: 0 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 2 40.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 4 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 6 43.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 7 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: ================================================================================ 29: ============================= End of ROCm SMI Log ============================== 2: 2: 2: ======================= ROCm System Management Interface ======================= 2: ================================= Concise Info ================================= 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2: 0 46.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 41.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= End of ROCm SMI Log ============================== 8: 8: 8: ======================= ROCm System Management Interface ======================= 8: ================================= Concise Info ================================= 8: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 8: 0 47.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 2 44.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 4 40.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 5 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 6 37.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: ================================================================================ 8: ============================= End of ROCm SMI Log ============================== 11: 11: 11: ======================= ROCm System Management Interface ======================= 11: ================================= Concise Info ================================= 11: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 11: 0 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 2 40.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 3 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 4 44.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 6 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: ================================================================================ 11: ============================= End of ROCm SMI Log ============================== 15: Launching on nid005516 (15/32), master nid005395 port 9999, GPUs 8, CUDA: True 30: Launching on nid006847 (30/32), master nid005395 port 9999, GPUs 8, CUDA: True 11: Launching on nid005436 (11/32), master nid005395 port 9999, GPUs 8, CUDA: True 28: Launching on nid006845 (28/32), master nid005395 port 9999, GPUs 8, CUDA: True 16: Launching on nid005596 (16/32), master nid005395 port 9999, GPUs 8, CUDA: True 0: Launching on nid005395 (0/32), master nid005395 port 9999, GPUs 8, CUDA: True 3: Launching on nid005399 (3/32), master nid005395 port 9999, GPUs 8, CUDA: True 6: Launching on nid005430 (6/32), master nid005395 port 9999, GPUs 8, CUDA: True 22: Launching on nid006055 (22/32), master nid005395 port 9999, GPUs 8, CUDA: True 7: Launching on nid005432 (7/32), master nid005395 port 9999, GPUs 8, CUDA: True 20: Launching on nid006053 (20/32), master nid005395 port 9999, GPUs 8, CUDA: True 14: Launching on nid005515 (14/32), master nid005395 port 9999, GPUs 8, CUDA: True 1: Launching on nid005397 (1/32), master nid005395 port 9999, GPUs 8, CUDA: True 29: Launching on nid006846 (29/32), master nid005395 port 9999, GPUs 8, CUDA: True 23: Launching on nid006056 (23/32), master nid005395 port 9999, GPUs 8, CUDA: True 27: Launching on nid006844 (27/32), master nid005395 port 9999, GPUs 8, CUDA: True 31: Launching on nid006848 (31/32), master nid005395 port 9999, GPUs 8, CUDA: True 25: Launching on nid006842 (25/32), master nid005395 port 9999, GPUs 8, CUDA: True 17: Launching on nid005597 (17/32), master nid005395 port 9999, GPUs 8, CUDA: True 10: Launching on nid005435 (10/32), master nid005395 port 9999, GPUs 8, CUDA: True 12: Launching on nid005437 (12/32), master nid005395 port 9999, GPUs 8, CUDA: True 13: Launching on nid005514 (13/32), master nid005395 port 9999, GPUs 8, CUDA: True 19: Launching on nid006052 (19/32), master nid005395 port 9999, GPUs 8, CUDA: True 18: Launching on nid005598 (18/32), master nid005395 port 9999, GPUs 8, CUDA: True 4: Launching on nid005428 (4/32), master nid005395 port 9999, GPUs 8, CUDA: True 2: Launching on nid005398 (2/32), master nid005395 port 9999, GPUs 8, CUDA: True 8: Launching on nid005433 (8/32), master nid005395 port 9999, GPUs 8, CUDA: True 5: Launching on nid005429 (5/32), master nid005395 port 9999, GPUs 8, CUDA: True 24: Launching on nid006057 (24/32), master nid005395 port 9999, GPUs 8, CUDA: True 9: Launching on nid005434 (9/32), master nid005395 port 9999, GPUs 8, CUDA: True 26: Launching on nid006843 (26/32), master nid005395 port 9999, GPUs 8, CUDA: True 21: Launching on nid006054 (21/32), master nid005395 port 9999, GPUs 8, CUDA: True 0: using world size: 256, data-parallel-size: 256, 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 .......................... False 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 .............................. 256 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/2068256.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 ................................. 10240 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 ............................... 512 0: glu_activation .................................. None 0: hidden_dropout .................................. 0.1 0: hidden_size ..................................... 2560 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-2b8 0: kv_channels ..................................... 128 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_2b8 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 ...................................... None 0: loss_scale_window ............................... 1000 0: lr .............................................. 0.0002 0: lr_decay_iters .................................. None 0: lr_decay_samples ................................ 17356538 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 173565 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 ................................ 2 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 ............................. 20 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 34 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_2b8 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_2b8 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 ................................... 17356538 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 ...................................... 256 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: [2022-11-25 18:09:10,881] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl 31: > 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: 0.072 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: ninja: no work to do. 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: 21.940 seconds 0: time to initialize megatron (seconds): 74.468 0: [after megatron is initialized] datetime: 2022-11-25 18:09:46 0: building GPT model ... 0: [2022-11-25 18:09:46,523] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-25 18:09:46,524] [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: [2022-11-25 18:09:46,524] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 43.78 GB, percent = 8.7% 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, ProcessCoord(pipe=0, data=64, model=0): 64, ProcessCoord(pipe=0, data=65, model=0): 65, ProcessCoord(pipe=0, data=66, model=0): 66, ProcessCoord(pipe=0, data=67, model=0): 67, ProcessCoord(pipe=0, data=68, model=0): 68, ProcessCoord(pipe=0, data=69, model=0): 0: 69, ProcessCoord(pipe=0, data=70, model=0): 70, ProcessCoord(pipe=0, data=71, model=0): 71, ProcessCoord(pipe=0, data=72, model=0): 72, ProcessCoord(pipe=0, data=73, model=0): 73, ProcessCoord(pipe=0, data=74, model=0): 74, ProcessCoord(pipe=0, data=75, model=0): 75, ProcessCoord(pipe=0, data=76, model=0): 76, ProcessCoord(pipe=0, data=77, model=0): 77, ProcessCoord(pipe=0, data=78, model=0): 78, ProcessCoord(pipe=0, data=79, model=0): 79, ProcessCoord(pipe=0, data=80, model=0): 80, ProcessCoord(pipe=0, data=81, model=0): 81, ProcessCoord(pipe=0, data=82, model=0): 82, ProcessCoord(pipe=0, data=83, model=0): 83, ProcessCoord(pipe=0, data=84, model=0): 84, ProcessCoord(pipe=0, data=85, model=0): 85, ProcessCoord(pipe=0, data=86, model=0): 86, ProcessCoord(pipe=0, data=87, model=0): 87, ProcessCoord(pipe=0, data=88, model=0): 88, ProcessCoord(pipe=0, data=89, model=0): 89, ProcessCoord(pipe=0, data=90, model=0): 90, ProcessCoord(pipe=0, data=91, model=0): 91, ProcessCoord(pipe=0, data=92, model=0): 92, Process 0: Coord(pipe=0, data=93, model=0): 93, ProcessCoord(pipe=0, data=94, model=0): 94, ProcessCoord(pipe=0, data=95, model=0): 95, ProcessCoord(pipe=0, data=96, model=0): 96, ProcessCoord(pipe=0, data=97, model=0): 97, ProcessCoord(pipe=0, data=98, model=0): 98, ProcessCoord(pipe=0, data=99, model=0): 99, ProcessCoord(pipe=0, data=100, model=0): 100, ProcessCoord(pipe=0, data=101, model=0): 101, ProcessCoord(pipe=0, data=102, model=0): 102, ProcessCoord(pipe=0, data=103, model=0): 103, ProcessCoord(pipe=0, data=104, model=0): 104, ProcessCoord(pipe=0, data=105, model=0): 105, ProcessCoord(pipe=0, data=106, model=0): 106, ProcessCoord(pipe=0, data=107, model=0): 107, ProcessCoord(pipe=0, data=108, model=0): 108, ProcessCoord(pipe=0, data=109, model=0): 109, ProcessCoord(pipe=0, data=110, model=0): 110, ProcessCoord(pipe=0, data=111, model=0): 111, ProcessCoord(pipe=0, data=112, model=0): 112, ProcessCoord(pipe=0, data=113, model=0): 113, ProcessCoord(pipe=0, data=114, model=0): 114, ProcessCoord(pipe=0, data=115, mo 0: del=0): 115, ProcessCoord(pipe=0, data=116, model=0): 116, ProcessCoord(pipe=0, data=117, model=0): 117, ProcessCoord(pipe=0, data=118, model=0): 118, ProcessCoord(pipe=0, data=119, model=0): 119, ProcessCoord(pipe=0, data=120, model=0): 120, ProcessCoord(pipe=0, data=121, model=0): 121, ProcessCoord(pipe=0, data=122, model=0): 122, ProcessCoord(pipe=0, data=123, model=0): 123, ProcessCoord(pipe=0, data=124, model=0): 124, ProcessCoord(pipe=0, data=125, model=0): 125, ProcessCoord(pipe=0, data=126, model=0): 126, ProcessCoord(pipe=0, data=127, model=0): 127, ProcessCoord(pipe=0, data=128, model=0): 128, ProcessCoord(pipe=0, data=129, model=0): 129, ProcessCoord(pipe=0, data=130, model=0): 130, ProcessCoord(pipe=0, data=131, model=0): 131, ProcessCoord(pipe=0, data=132, model=0): 132, ProcessCoord(pipe=0, data=133, model=0): 133, ProcessCoord(pipe=0, data=134, model=0): 134, ProcessCoord(pipe=0, data=135, model=0): 135, ProcessCoord(pipe=0, data=136, model=0): 136, ProcessCoord(pipe=0, data=137, model=0): 137, 0: ProcessCoord(pipe=0, data=138, model=0): 138, ProcessCoord(pipe=0, data=139, model=0): 139, ProcessCoord(pipe=0, data=140, model=0): 140, ProcessCoord(pipe=0, data=141, model=0): 141, ProcessCoord(pipe=0, data=142, model=0): 142, ProcessCoord(pipe=0, data=143, model=0): 143, ProcessCoord(pipe=0, data=144, model=0): 144, ProcessCoord(pipe=0, data=145, model=0): 145, ProcessCoord(pipe=0, data=146, model=0): 146, ProcessCoord(pipe=0, data=147, model=0): 147, ProcessCoord(pipe=0, data=148, model=0): 148, ProcessCoord(pipe=0, data=149, model=0): 149, ProcessCoord(pipe=0, data=150, model=0): 150, ProcessCoord(pipe=0, data=151, model=0): 151, ProcessCoord(pipe=0, data=152, model=0): 152, ProcessCoord(pipe=0, data=153, model=0): 153, ProcessCoord(pipe=0, data=154, model=0): 154, ProcessCoord(pipe=0, data=155, model=0): 155, ProcessCoord(pipe=0, data=156, model=0): 156, ProcessCoord(pipe=0, data=157, model=0): 157, ProcessCoord(pipe=0, data=158, model=0): 158, ProcessCoord(pipe=0, data=159, model=0): 159, ProcessCoor 0: d(pipe=0, data=160, model=0): 160, ProcessCoord(pipe=0, data=161, model=0): 161, ProcessCoord(pipe=0, data=162, model=0): 162, ProcessCoord(pipe=0, data=163, model=0): 163, ProcessCoord(pipe=0, data=164, model=0): 164, ProcessCoord(pipe=0, data=165, model=0): 165, ProcessCoord(pipe=0, data=166, model=0): 166, ProcessCoord(pipe=0, data=167, model=0): 167, ProcessCoord(pipe=0, data=168, model=0): 168, ProcessCoord(pipe=0, data=169, model=0): 169, ProcessCoord(pipe=0, data=170, model=0): 170, ProcessCoord(pipe=0, data=171, model=0): 171, ProcessCoord(pipe=0, data=172, model=0): 172, ProcessCoord(pipe=0, data=173, model=0): 173, ProcessCoord(pipe=0, data=174, model=0): 174, ProcessCoord(pipe=0, data=175, model=0): 175, ProcessCoord(pipe=0, data=176, model=0): 176, ProcessCoord(pipe=0, data=177, model=0): 177, ProcessCoord(pipe=0, data=178, model=0): 178, ProcessCoord(pipe=0, data=179, model=0): 179, ProcessCoord(pipe=0, data=180, model=0): 180, ProcessCoord(pipe=0, data=181, model=0): 181, ProcessCoord(pipe=0, da 0: ta=182, model=0): 182, ProcessCoord(pipe=0, data=183, model=0): 183, ProcessCoord(pipe=0, data=184, model=0): 184, ProcessCoord(pipe=0, data=185, model=0): 185, ProcessCoord(pipe=0, data=186, model=0): 186, ProcessCoord(pipe=0, data=187, model=0): 187, ProcessCoord(pipe=0, data=188, model=0): 188, ProcessCoord(pipe=0, data=189, model=0): 189, ProcessCoord(pipe=0, data=190, model=0): 190, ProcessCoord(pipe=0, data=191, model=0): 191, ProcessCoord(pipe=0, data=192, model=0): 192, ProcessCoord(pipe=0, data=193, model=0): 193, ProcessCoord(pipe=0, data=194, model=0): 194, ProcessCoord(pipe=0, data=195, model=0): 195, ProcessCoord(pipe=0, data=196, model=0): 196, ProcessCoord(pipe=0, data=197, model=0): 197, ProcessCoord(pipe=0, data=198, model=0): 198, ProcessCoord(pipe=0, data=199, model=0): 199, ProcessCoord(pipe=0, data=200, model=0): 200, ProcessCoord(pipe=0, data=201, model=0): 201, ProcessCoord(pipe=0, data=202, model=0): 202, ProcessCoord(pipe=0, data=203, model=0): 203, ProcessCoord(pipe=0, data=204, mode 0: l=0): 204, ProcessCoord(pipe=0, data=205, model=0): 205, ProcessCoord(pipe=0, data=206, model=0): 206, ProcessCoord(pipe=0, data=207, model=0): 207, ProcessCoord(pipe=0, data=208, model=0): 208, ProcessCoord(pipe=0, data=209, model=0): 209, ProcessCoord(pipe=0, data=210, model=0): 210, ProcessCoord(pipe=0, data=211, model=0): 211, ProcessCoord(pipe=0, data=212, model=0): 212, ProcessCoord(pipe=0, data=213, model=0): 213, ProcessCoord(pipe=0, data=214, model=0): 214, ProcessCoord(pipe=0, data=215, model=0): 215, ProcessCoord(pipe=0, data=216, model=0): 216, ProcessCoord(pipe=0, data=217, model=0): 217, ProcessCoord(pipe=0, data=218, model=0): 218, ProcessCoord(pipe=0, data=219, model=0): 219, ProcessCoord(pipe=0, data=220, model=0): 220, ProcessCoord(pipe=0, data=221, model=0): 221, ProcessCoord(pipe=0, data=222, model=0): 222, ProcessCoord(pipe=0, data=223, model=0): 223, ProcessCoord(pipe=0, data=224, model=0): 224, ProcessCoord(pipe=0, data=225, model=0): 225, ProcessCoord(pipe=0, data=226, model=0): 226, P 0: rocessCoord(pipe=0, data=227, model=0): 227, ProcessCoord(pipe=0, data=228, model=0): 228, ProcessCoord(pipe=0, data=229, model=0): 229, ProcessCoord(pipe=0, data=230, model=0): 230, ProcessCoord(pipe=0, data=231, model=0): 231, ProcessCoord(pipe=0, data=232, model=0): 232, ProcessCoord(pipe=0, data=233, model=0): 233, ProcessCoord(pipe=0, data=234, model=0): 234, ProcessCoord(pipe=0, data=235, model=0): 235, ProcessCoord(pipe=0, data=236, model=0): 236, ProcessCoord(pipe=0, data=237, model=0): 237, ProcessCoord(pipe=0, data=238, model=0): 238, ProcessCoord(pipe=0, data=239, model=0): 239, ProcessCoord(pipe=0, data=240, model=0): 240, ProcessCoord(pipe=0, data=241, model=0): 241, ProcessCoord(pipe=0, data=242, model=0): 242, ProcessCoord(pipe=0, data=243, model=0): 243, ProcessCoord(pipe=0, data=244, model=0): 244, ProcessCoord(pipe=0, data=245, model=0): 245, ProcessCoord(pipe=0, data=246, model=0): 246, ProcessCoord(pipe=0, data=247, model=0): 247, ProcessCoord(pipe=0, data=248, model=0): 248, ProcessCoord( 0: pipe=0, data=249, model=0): 249, ProcessCoord(pipe=0, data=250, model=0): 250, ProcessCoord(pipe=0, data=251, model=0): 251, ProcessCoord(pipe=0, data=252, model=0): 252, ProcessCoord(pipe=0, data=253, model=0): 253, ProcessCoord(pipe=0, data=254, model=0): 254, ProcessCoord(pipe=0, data=255, model=0): 255} 0: [2022-11-25 18:09:55,612] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=41 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: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: ParallelTransformerLayerPipe 0: 19: ParallelTransformerLayerPipe 0: 20: ParallelTransformerLayerPipe 0: 21: ParallelTransformerLayerPipe 0: 22: ParallelTransformerLayerPipe 0: 23: ParallelTransformerLayerPipe 0: 24: ParallelTransformerLayerPipe 0: 25: ParallelTransformerLayerPipe 0: 26: ParallelTransformerLayerPipe 0: 27: ParallelTransformerLayerPipe 0: 28: ParallelTransformerLayerPipe 0: 29: ParallelTransformerLayerPipe 0: 30: ParallelTransformerLayerPipe 0: 31: ParallelTransformerLayerPipe 0: 32: ParallelTransformerLayerPipe 0: 33: ParallelTransformerLayerPipe 0: 34: ParallelTransformerLayerPipe 0: 35: ParallelTransformerLayerPipe 0: 36: ParallelTransformerLayerPipe 0: 37: undo 0: 38: MixedFusedLayerNorm 0: 39: EmbeddingPipe 0: 40: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-25 18:09:55,931] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-25 18:09:55,932] [INFO] [utils.py:828:see_memory_usage] MA 5.26 GB Max_MA 5.26 GB CA 5.31 GB Max_CA 5 GB 0: [2022-11-25 18:09:55,932] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 43.81 GB, percent = 8.7% 0: setting training iterations to 33899 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-25 18:09:55,935] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-25 18:10:17,973] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-25 18:10:17,973] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-25 18:10:17,974] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-25 18:10:17,992] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-25 18:10:17,992] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-25 18:10:18,036] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-25 18:10:18,036] [INFO] [utils.py:828:see_memory_usage] MA 5.25 GB Max_MA 5.27 GB CA 5.32 GB Max_CA 5 GB 0: [2022-11-25 18:10:18,037] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.51 GB, percent = 8.8% 0: ninja: no work to do. 0: Time to load utils op: 0.22782492637634277 seconds 0: Time to load utils op: 0.2730536460876465 seconds 4: Time to load utils op: 0.22151494026184082 seconds 27: Time to load utils op: 0.22133898735046387 seconds 13: Time to load utils op: 0.2223970890045166 seconds 17: Time to load utils op: 0.2234818935394287 seconds 20: Time to load utils op: 0.22365021705627441 seconds 28: Time to load utils op: 0.22298622131347656 seconds 30: Time to load utils op: 0.2175920009613037 seconds 0: [2022-11-25 18:10:18,330] [INFO] [utils.py:827:see_memory_usage] before initializing group 0 0: [2022-11-25 18:10:18,331] [INFO] [utils.py:828:see_memory_usage] MA 5.25 GB Max_MA 5.25 GB CA 5.32 GB Max_CA 5 GB 0: [2022-11-25 18:10:18,331] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.51 GB, percent = 8.8% 0: [2022-11-25 18:10:18,389] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 0: [2022-11-25 18:10:18,390] [INFO] [utils.py:828:see_memory_usage] MA 10.64 GB Max_MA 10.64 GB CA 13.39 GB Max_CA 13 GB 0: [2022-11-25 18:10:18,390] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.51 GB, percent = 8.8% 0: [2022-11-25 18:10:18,421] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-25 18:10:18,422] [INFO] [utils.py:828:see_memory_usage] MA 10.64 GB Max_MA 10.64 GB CA 13.39 GB Max_CA 13 GB 0: [2022-11-25 18:10:18,422] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.51 GB, percent = 8.8% 0: [2022-11-25 18:10:18,457] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-25 18:10:18,458] [INFO] [utils.py:828:see_memory_usage] MA 15.73 GB Max_MA 15.73 GB CA 21.01 GB Max_CA 21 GB 0: [2022-11-25 18:10:18,458] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.52 GB, percent = 8.8% 0: [2022-11-25 18:10:18,490] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-25 18:10:18,491] [INFO] [utils.py:828:see_memory_usage] MA 15.73 GB Max_MA 15.73 GB CA 21.01 GB Max_CA 21 GB 0: [2022-11-25 18:10:18,491] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.52 GB, percent = 8.8% 4: ninja: no work to do. 0: [2022-11-25 18:10:18,535] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-25 18:10:18,536] [INFO] [utils.py:828:see_memory_usage] MA 15.74 GB Max_MA 15.74 GB CA 21.01 GB Max_CA 21 GB 0: [2022-11-25 18:10:18,536] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.52 GB, percent = 8.8% 0: [2022-11-25 18:10:18,569] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-25 18:10:18,570] [INFO] [utils.py:828:see_memory_usage] MA 15.74 GB Max_MA 15.74 GB CA 21.01 GB Max_CA 21 GB 0: [2022-11-25 18:10:18,570] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.52 GB, percent = 8.8% 0: [2022-11-25 18:10:18,607] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-25 18:10:18,607] [INFO] [utils.py:828:see_memory_usage] MA 15.82 GB Max_MA 15.82 GB CA 21.01 GB Max_CA 21 GB 0: [2022-11-25 18:10:18,607] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.52 GB, percent = 8.8% 0: [2022-11-25 18:10:18,640] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-25 18:10:18,640] [INFO] [utils.py:828:see_memory_usage] MA 15.82 GB Max_MA 15.82 GB CA 21.01 GB Max_CA 21 GB 0: [2022-11-25 18:10:18,640] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.52 GB, percent = 8.8% 0: [2022-11-25 18:10:18,640] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-25 18:10:18,640] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-25 18:10:18,641] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-25 18:10:18,641] [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: [2022-11-25 18:10:18,641] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-25 18:10:18,642] [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: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-25 18:10:18,642] [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: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-25 18:10:18,642] [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: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-25 18:10:18,642] [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: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-25 18:10:18,642] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-25 18:10:18,643] [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: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] train_batch_size ............. 512 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 2 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] world_size ................... 256 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-25 18:10:18,643] [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: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-25 18:10:18,643] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-25 18:10:18,643] [INFO] [config.py:996:print_user_config] json = { 0: "train_micro_batch_size_per_gpu": 2, 0: "train_batch_size": 512, 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: } 20: Time to load utils op: 0.039460182189941406 seconds 4: Time to load utils op: 0.05423426628112793 seconds 30: Time to load utils op: 0.023942947387695312 seconds 28: Time to load utils op: 0.023699283599853516 seconds 0: Time to load utils op: 0.019716739654541016 seconds 17: Time to load utils op: 0.04246068000793457 seconds 0: [2022-11-25 18:10:18,663] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=2 0: Time to load utils op: 0.13450932502746582 seconds 28: Time to load utils op: 0.2949202060699463 seconds 28: Time to load utils 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seconds 2: Time to load utils op: 0.0005595684051513672 seconds 2: Time to load utils op: 0.0005769729614257812 seconds 1: Time to load utils op: 0.0012745857238769531 seconds 9: Time to load utils op: 0.0003552436828613281 seconds 11: Time to load utils op: 0.0007097721099853516 seconds 11: Time to load utils op: 0.0009322166442871094 seconds 10: Time to load utils op: 0.0005018711090087891 seconds 9: Time to load utils op: 0.00040435791015625 secondsTime to load utils op: 0.0003905296325683594 seconds 9: 11: Time to load utils op: 0.0011606216430664062 seconds 5: Time to load utils op: 0.0011522769927978516 seconds 11: Time to load utils op: 0.0012569427490234375 seconds 9: Time to load utils op: 0.0003876686096191406 seconds 5: Time to load utils op: 0.0011518001556396484 seconds 9: Time to load utils op: 0.0004324913024902344 seconds 11: Time to load utils op: 0.0012888908386230469 seconds 10: Time to load utils op: 0.0005466938018798828 seconds 11: Time to load utils op: 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to load utils op: 0.00040078163146972656 seconds 24: Time to load utils op: 0.0003447532653808594 seconds 24: Time to load utils op: 0.0004048347473144531 seconds 31: Time to load utils op: 0.001161336898803711 seconds 31: Time to load utils op: 0.0013546943664550781 secondsTime to load utils op: 0.0012135505676269531 seconds 31: 31: Time to load utils op: 0.001310586929321289 seconds 31: Time to load utils op: 0.0013425350189208984 seconds 31: Time to load utils op: 0.001291036605834961 seconds 31: Time to load utils op: 0.001214742660522461 seconds 31: Time to load utils op: 0.001407623291015625 seconds 15: Time to load utils op: 0.0005784034729003906 seconds 15: Time to load utils op: 0.0004055500030517578 seconds 15: Time to load utils op: 0.0005424022674560547 seconds 15: Time to load utils op: 0.00047779083251953125 seconds 15: Time to load utils op: 0.00046253204345703125 secondsTime to load utils op: 0.00045871734619140625 secondsTime to load utils op: 0.00046896934509277344 seconds 15: 15: 15: Time to load utils op: 0.0004909038543701172 seconds 18: Time to load utils op: 0.00038695335388183594 seconds 18: Time to load utils op: 0.000591278076171875 seconds 18: Time to load utils op: 0.0004088878631591797 seconds 18: Time to load utils op: 0.0004887580871582031 seconds 18: Time to load utils op: 0.0004048347473144531 seconds 18: Time to load utils op: 0.00036263465881347656 seconds 18: Time to load utils op: 0.00040602684020996094 seconds 18: Time to load utils op: 0.0004582405090332031 seconds 3: Time to load utils op: 0.0008153915405273438 seconds 3: Time to load utils op: 0.0008077621459960938 seconds 26: Time to load utils op: 0.0011470317840576172 seconds 26: Time to load utils op: 0.001276254653930664 seconds 3: Time to load utils op: 0.0012793540954589844 seconds 3: Time to load utils op: 0.0012133121490478516 secondsTime to load utils op: 0.0012118816375732422 seconds 3: 3: Time to load utils op: 0.001234292984008789 seconds 26: Time to load utils op: 0.0014677047729492188 seconds 3: Time to load utils op: 0.0012357234954833984 seconds 3: Time to load utils op: 0.0012841224670410156 seconds 26: Time to load utils op: 0.0013194084167480469 seconds 26: Time to load utils op: 0.0014128684997558594 seconds 26: Time to load utils op: 0.0014543533325195312 seconds 26: Time to load utils op: 0.0015015602111816406 seconds 26: Time to load utils op: 0.001462697982788086 seconds 24: Time to load utils op: 0.00038743019104003906 seconds 24: Time to load utils op: 0.0003788471221923828 seconds 24: Time to load utils op: 0.0003695487976074219 seconds 16: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/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_2b8 31: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/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 28: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-25 18:10:18,965] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-25 18:10:18,966] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 18:10:18,967] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b8/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: time (ms) | load-checkpoint: 8.60 0: estimated model parameters: 2.80902656 0: estimated model parameters without embeddings: 2.67500544 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-25 18:10:19 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 17356538 0: validation: 17408 0: test: 512 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 0.013684 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: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 14.927296 0: using: 0: number of documents: 199864130 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 173377816 0: > elasped time to build and save sample-idx mapping (seconds): 4.233791 0: > building shuffle index with split [0, 173377816) and [173377816, 173377816) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 10.189326 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_17356538ns_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_17356538ns_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_17356538ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.163 seconds 0: total number of samples: 173377817 0: total number of epochs: 1 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 0.489056 0: using: 0: number of documents: 10530249 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 9118344 0: > elasped time to build and save sample-idx mapping (seconds): 0.213063 0: > building shuffle index with split [0, 9118344) and [9118344, 9118344) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.273059 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_17408ns_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_17408ns_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_17408ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.024 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_512ns_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_512ns_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_512ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.079 seconds 0: total number of samples: 182928 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2022-11-25 18:11:08 0: done with setup ... 0: training ... 0: Number of parameters: [tensor rank - pipeline rank] w/ and w/o embeddings: 31: time (ms) | model-and-optimizer-setup: 33373.40 | train/valid/test-data-iterators-setup: 48799.65 0: [000-000] 2.8090B / 2.6750B 0: [before the start of training step] datetime: 2022-11-25 18:11:08 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 22352.48388671875 | max allocated: 62349.7021484375 | reserved: 62532.0 | max reserved: 63334.0 31: iteration 10/ 33899 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 4.57 | learning rate: 5.900E-06 | global batch size: 512 | lm loss: 1.063900E+01 | grad norm: 23.652 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.136 | TFLOPs: 16.83 | 31: iteration 20/ 33899 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 2.24 | learning rate: 1.180E-05 | global batch size: 512 | lm loss: 8.818706E+00 | grad norm: 9.877 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 228.235 | TFLOPs: 34.26 | 31: iteration 30/ 33899 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 1.86 | learning rate: 1.770E-05 | global batch size: 512 | lm loss: 8.163419E+00 | grad norm: 4.042 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.891 | TFLOPs: 41.26 | 31: iteration 40/ 33899 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 2.28 | learning rate: 2.360E-05 | global batch size: 512 | lm loss: 7.735777E+00 | grad norm: 3.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 224.571 | TFLOPs: 33.71 | 31: iteration 50/ 33899 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 1.98 | learning rate: 2.950E-05 | global batch size: 512 | lm loss: 7.347936E+00 | grad norm: 3.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 258.542 | TFLOPs: 38.81 | 31: iteration 60/ 33899 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 1.87 | learning rate: 3.540E-05 | global batch size: 512 | lm loss: 7.048540E+00 | grad norm: 6.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.403 | TFLOPs: 41.19 | 31: iteration 70/ 33899 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 1.96 | learning rate: 4.130E-05 | global batch size: 512 | lm loss: 6.847153E+00 | grad norm: 2.849 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 260.872 | TFLOPs: 39.16 | 31: iteration 80/ 33899 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 1.85 | learning rate: 4.720E-05 | global batch size: 512 | lm loss: 6.695375E+00 | grad norm: 2.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.140 | TFLOPs: 41.60 | 31: iteration 90/ 33899 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 1.82 | learning rate: 5.310E-05 | global batch size: 512 | lm loss: 6.537452E+00 | grad norm: 3.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.885 | TFLOPs: 42.31 | 31: iteration 100/ 33899 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 1.97 | learning rate: 5.900E-05 | global batch size: 512 | lm loss: 6.407308E+00 | grad norm: 5.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.345 | TFLOPs: 38.93 | 31: iteration 110/ 33899 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 1.88 | learning rate: 6.490E-05 | global batch size: 512 | lm loss: 6.285944E+00 | grad norm: 2.655 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.656 | TFLOPs: 40.77 | 31: iteration 120/ 33899 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 2.01 | learning rate: 7.080E-05 | global batch size: 512 | lm loss: 6.165342E+00 | grad norm: 1.780 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 254.622 | TFLOPs: 38.22 | 31: iteration 130/ 33899 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 1.98 | learning rate: 7.670E-05 | global batch size: 512 | lm loss: 6.037704E+00 | grad norm: 1.835 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 258.184 | TFLOPs: 38.75 | 31: iteration 140/ 33899 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 1.86 | learning rate: 8.260E-05 | global batch size: 512 | lm loss: 5.932192E+00 | grad norm: 1.555 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.568 | TFLOPs: 41.21 | 31: iteration 150/ 33899 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 2.06 | learning rate: 8.850E-05 | global batch size: 512 | lm loss: 5.812219E+00 | grad norm: 1.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 248.486 | TFLOPs: 37.30 | 31: iteration 160/ 33899 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 1.93 | learning rate: 9.440E-05 | global batch size: 512 | lm loss: 5.771737E+00 | grad norm: 1.532 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.982 | TFLOPs: 39.77 | 31: iteration 170/ 33899 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 2.01 | learning rate: 1.003E-04 | global batch size: 512 | lm loss: 5.706990E+00 | grad norm: 1.810 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 254.593 | TFLOPs: 38.21 | 31: iteration 180/ 33899 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 2.10 | learning rate: 1.062E-04 | global batch size: 512 | lm loss: 5.628205E+00 | grad norm: 1.033 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 243.981 | TFLOPs: 36.62 | 31: iteration 190/ 33899 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 1.85 | learning rate: 1.121E-04 | global batch size: 512 | lm loss: 5.557317E+00 | grad norm: 1.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.939 | TFLOPs: 41.57 | 31: iteration 200/ 33899 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 1.91 | learning rate: 1.180E-04 | global batch size: 512 | lm loss: 5.522910E+00 | grad norm: 1.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.402 | TFLOPs: 40.14 | 31: iteration 210/ 33899 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 1.88 | learning rate: 1.239E-04 | global batch size: 512 | lm loss: 5.503321E+00 | grad norm: 1.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.991 | TFLOPs: 40.97 | 31: iteration 220/ 33899 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 1.91 | learning rate: 1.298E-04 | global batch size: 512 | lm loss: 5.438991E+00 | grad norm: 1.012 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.744 | TFLOPs: 40.34 | 31: iteration 230/ 33899 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 1.86 | learning rate: 1.357E-04 | global batch size: 512 | lm loss: 5.384310E+00 | grad norm: 0.899 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.118 | TFLOPs: 41.29 | 31: iteration 240/ 33899 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 2.03 | learning rate: 1.416E-04 | global batch size: 512 | lm loss: 5.352825E+00 | grad norm: 0.957 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 252.168 | TFLOPs: 37.85 | 31: iteration 250/ 33899 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 1.89 | learning rate: 1.475E-04 | global batch size: 512 | lm loss: 5.276038E+00 | grad norm: 0.994 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.967 | TFLOPs: 40.67 | 31: iteration 260/ 33899 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 2.42 | learning rate: 1.534E-04 | global batch size: 512 | lm loss: 5.220542E+00 | grad norm: 1.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 211.715 | TFLOPs: 31.78 | 31: iteration 270/ 33899 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 1.80 | learning rate: 1.593E-04 | global batch size: 512 | lm loss: 5.189704E+00 | grad norm: 1.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.167 | TFLOPs: 42.65 | 31: iteration 280/ 33899 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 1.90 | learning rate: 1.652E-04 | global batch size: 512 | lm loss: 5.194272E+00 | grad norm: 1.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.686 | TFLOPs: 40.48 | 31: iteration 290/ 33899 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 1.78 | learning rate: 1.711E-04 | global batch size: 512 | lm loss: 5.144760E+00 | grad norm: 0.730 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.049 | TFLOPs: 43.08 | 31: iteration 300/ 33899 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 2.06 | learning rate: 1.770E-04 | global batch size: 512 | lm loss: 5.070083E+00 | grad norm: 1.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 248.387 | TFLOPs: 37.28 | 31: iteration 310/ 33899 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 1.84 | learning rate: 1.829E-04 | global batch size: 512 | lm loss: 5.035278E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.583 | TFLOPs: 41.81 | 31: iteration 320/ 33899 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 1.93 | learning rate: 1.888E-04 | global batch size: 512 | lm loss: 5.021442E+00 | grad norm: 1.005 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.654 | TFLOPs: 39.87 | 31: iteration 330/ 33899 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 1.84 | learning rate: 1.947E-04 | global batch size: 512 | lm loss: 4.998671E+00 | grad norm: 0.936 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.816 | TFLOPs: 41.70 | 31: iteration 340/ 33899 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 1.93 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.926789E+00 | grad norm: 0.962 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.813 | TFLOPs: 39.75 | 31: iteration 350/ 33899 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 1.96 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.879240E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.597 | TFLOPs: 39.26 | 31: iteration 360/ 33899 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 1.83 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.842316E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.408 | TFLOPs: 42.09 | 31: iteration 370/ 33899 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 1.93 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.799846E+00 | grad norm: 1.022 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.687 | TFLOPs: 39.73 | 31: iteration 380/ 33899 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 2.02 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.753868E+00 | grad norm: 0.928 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 253.272 | TFLOPs: 38.01 | 31: iteration 390/ 33899 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 1.83 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.752897E+00 | grad norm: 0.911 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.504 | TFLOPs: 41.95 | 31: iteration 400/ 33899 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 1.94 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.658704E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.128 | TFLOPs: 39.64 | 31: iteration 410/ 33899 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 1.92 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.614926E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.716 | TFLOPs: 40.03 | 31: iteration 420/ 33899 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 1.83 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.595245E+00 | grad norm: 0.896 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.138 | TFLOPs: 42.05 | 31: iteration 430/ 33899 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 1.88 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.536232E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.573 | TFLOPs: 40.91 | 31: iteration 440/ 33899 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 1.81 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.526359E+00 | grad norm: 0.870 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.601 | TFLOPs: 42.57 | 31: iteration 450/ 33899 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 1.95 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.443435E+00 | grad norm: 0.744 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.447 | TFLOPs: 39.39 | 31: iteration 460/ 33899 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 1.95 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.444347E+00 | grad norm: 0.910 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.044 | TFLOPs: 39.48 | 31: iteration 470/ 33899 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 1.78 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.375925E+00 | grad norm: 0.702 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.410 | TFLOPs: 43.14 | 31: iteration 480/ 33899 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 1.83 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.340664E+00 | grad norm: 0.659 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.060 | TFLOPs: 41.89 | 31: iteration 490/ 33899 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 1.86 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.256981E+00 | grad norm: 0.764 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.943 | TFLOPs: 41.27 | 31: iteration 500/ 33899 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 2.33 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.195190E+00 | grad norm: 0.638 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 219.766 | TFLOPs: 32.99 | 31: iteration 510/ 33899 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 1.94 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.155002E+00 | grad norm: 0.741 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.341 | TFLOPs: 39.53 | 31: iteration 520/ 33899 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 1.84 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.084459E+00 | grad norm: 0.744 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.566 | TFLOPs: 41.66 | 31: iteration 530/ 33899 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 1.93 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.020073E+00 | grad norm: 0.768 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.087 | TFLOPs: 39.79 | 31: iteration 540/ 33899 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 1.85 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.935278E+00 | grad norm: 0.604 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.231 | TFLOPs: 41.46 | 31: iteration 550/ 33899 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 1.86 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.853387E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.883 | TFLOPs: 41.41 | 31: iteration 560/ 33899 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 1.93 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.779581E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.036 | TFLOPs: 39.78 | 31: iteration 570/ 33899 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 2.11 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.731241E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 242.741 | TFLOPs: 36.43 | 31: iteration 580/ 33899 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 1.89 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.690110E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.284 | TFLOPs: 40.57 | 31: iteration 590/ 33899 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 1.96 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.655208E+00 | grad norm: 0.531 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 260.615 | TFLOPs: 39.12 | 31: iteration 600/ 33899 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 1.90 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.631777E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.712 | TFLOPs: 40.48 | 31: iteration 610/ 33899 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 1.97 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.547694E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 260.503 | TFLOPs: 39.10 | 31: iteration 620/ 33899 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 1.91 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.526350E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.433 | TFLOPs: 40.29 | 31: iteration 630/ 33899 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 1.98 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.467372E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 258.771 | TFLOPs: 38.84 | 31: iteration 640/ 33899 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 1.85 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.489762E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.579 | TFLOPs: 41.51 | 31: iteration 650/ 33899 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 1.86 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.380922E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.958 | TFLOPs: 41.27 | 31: iteration 660/ 33899 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 1.84 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.406207E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.901 | TFLOPs: 41.86 | 31: iteration 670/ 33899 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 1.91 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.391711E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.834 | TFLOPs: 40.20 | 31: iteration 680/ 33899 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 1.88 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.339841E+00 | grad norm: 0.624 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.771 | TFLOPs: 40.94 | 31: iteration 690/ 33899 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 1.88 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.359718E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.137 | TFLOPs: 40.85 | 31: iteration 700/ 33899 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 1.90 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.347630E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.377 | TFLOPs: 40.43 | 31: iteration 710/ 33899 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 1.88 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.330011E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.489 | TFLOPs: 40.90 | 31: iteration 720/ 33899 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 1.93 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.288990E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.600 | TFLOPs: 39.87 | 31: iteration 730/ 33899 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 1.83 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.280615E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.052 | TFLOPs: 42.03 | 31: iteration 740/ 33899 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 1.89 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.256588E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.579 | TFLOPs: 40.61 | 31: iteration 750/ 33899 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 1.85 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.264696E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.014 | TFLOPs: 41.58 | 31: iteration 760/ 33899 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 1.95 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.247148E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.983 | TFLOPs: 39.47 | 31: iteration 770/ 33899 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 1.84 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.265155E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.329 | TFLOPs: 41.78 | 31: iteration 780/ 33899 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 1.87 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.215661E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.259 | TFLOPs: 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samples per second: 266.234 | TFLOPs: 39.96 | 31: iteration 820/ 33899 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 1.88 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.113167E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.401 | TFLOPs: 40.89 | 31: iteration 830/ 33899 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 1.86 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.122063E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.532 | TFLOPs: 41.36 | 31: iteration 840/ 33899 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 1.79 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.111649E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.759 | TFLOPs: 43.04 | 31: iteration 850/ 33899 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 1.94 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.158339E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.246 | TFLOPs: 39.51 | 31: iteration 860/ 33899 | consumed samples: 440320 | consumed tokens: 901775360 | elapsed time per iteration (s): 2.08 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.108049E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 246.414 | TFLOPs: 36.99 | 31: iteration 870/ 33899 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 2.00 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.093997E+00 | grad norm: 0.313 | num zeros: 0.0 | 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| lm loss: 3.537614E+00 | grad norm: 1.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.886 | TFLOPs: 41.56 | 31: iteration 940/ 33899 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 1.82 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.388082E+00 | grad norm: 0.743 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.089 | TFLOPs: 42.19 | 31: iteration 950/ 33899 | consumed samples: 486400 | consumed tokens: 996147200 | elapsed time per iteration (s): 1.87 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.244373E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.323 | TFLOPs: 41.02 | 31: iteration 960/ 33899 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 1.81 | learning rate: 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iteration (s): 1.83 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.062233E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.062 | TFLOPs: 41.89 | 31: iteration 1000/ 33899 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 1.89 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.057442E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.742 | TFLOPs: 40.64 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 1000 | lm loss value: 2.960101E+00 | lm loss PPL: 1.929993E+01 | 31: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 1000 to checkpoints_2b8 0: [2022-11-25 18:43:36,955] [INFO] [logging.py:68:log_dist] [Rank 0] 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checkpoint saved checkpoints_2b8/global_step1000/bf16_zero_pp_rank_251_mp_rank_00_optim_states.pt 18: [2022-11-25 18:43:43,756] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 31: [2022-11-25 18:43:43,756] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 29: [2022-11-25 18:43:43,759] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step1000/bf16_zero_pp_rank_233_mp_rank_00_optim_states.pt. 29: [2022-11-25 18:43:43,759] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step1000/bf16_zero_pp_rank_233_mp_rank_00_optim_states.pt 29: [2022-11-25 18:43:43,759] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 21: [2022-11-25 18:43:43,948] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step1000/bf16_zero_pp_rank_171_mp_rank_00_optim_states.pt. 21: [2022-11-25 18:43:43,948] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step1000/bf16_zero_pp_rank_171_mp_rank_00_optim_states.pt 21: [2022-11-25 18:43:43,948] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 21: [2022-11-25 18:43:43,949] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step1000/bf16_zero_pp_rank_174_mp_rank_00_optim_states.pt. 21: [2022-11-25 18:43:43,949] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step1000/bf16_zero_pp_rank_174_mp_rank_00_optim_states.pt 21: [2022-11-25 18:43:43,949] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 22: [2022-11-25 18:43:44,091] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step1000/bf16_zero_pp_rank_181_mp_rank_00_optim_states.pt. 22: [2022-11-25 18:43:44,091] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step1000/bf16_zero_pp_rank_181_mp_rank_00_optim_states.pt 22: [2022-11-25 18:43:44,091] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 7150.59 31: iteration 1010/ 33899 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 2.70 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.059203E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.478 | TFLOPs: 28.44 | 31: iteration 1020/ 33899 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 2.07 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.989501E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 247.489 | TFLOPs: 37.15 | 31: iteration 1030/ 33899 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 2.00 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.013396E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 255.455 | TFLOPs: 38.34 | 31: iteration 1040/ 33899 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 1.88 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.978217E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.647 | TFLOPs: 40.92 | 31: iteration 1050/ 33899 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 2.03 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.970147E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 251.790 | TFLOPs: 37.79 | 31: iteration 1060/ 33899 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 1.86 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.954716E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.658 | TFLOPs: 41.37 | 31: iteration 1070/ 33899 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 1.76 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.955135E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.383 | TFLOPs: 43.74 | 31: iteration 1080/ 33899 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 2.05 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.941183E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 250.262 | TFLOPs: 37.56 | 31: iteration 1090/ 33899 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 2.06 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.959542E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 248.198 | TFLOPs: 37.25 | 31: iteration 1100/ 33899 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 2.25 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.943856E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 227.514 | TFLOPs: 34.15 | 31: iteration 1110/ 33899 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 2.00 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.936445E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 256.258 | TFLOPs: 38.46 | 31: iteration 1120/ 33899 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 2.13 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.937093E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 240.416 | TFLOPs: 36.09 | 31: iteration 1130/ 33899 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 1.96 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.890067E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 260.953 | TFLOPs: 39.17 | 31: iteration 1140/ 33899 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 1.99 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.883158E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 256.744 | TFLOPs: 38.54 | 31: iteration 1150/ 33899 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 1.85 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.912021E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.630 | TFLOPs: 41.52 | 31: iteration 1160/ 33899 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 1.88 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.915583E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.216 | TFLOPs: 40.86 | 31: iteration 1170/ 33899 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 1.82 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.844176E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.885 | TFLOPs: 42.16 | 31: iteration 1180/ 33899 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 1.84 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.884794E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.622 | TFLOPs: 41.67 | 31: iteration 1190/ 33899 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 1.82 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.890347E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.866 | TFLOPs: 42.31 | 31: iteration 1200/ 33899 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 1.87 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.884516E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.338 | TFLOPs: 41.18 | 31: iteration 1210/ 33899 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 2.49 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.867530E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 205.368 | TFLOPs: 30.82 | 31: iteration 1220/ 33899 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 1.87 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.848643E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.775 | TFLOPs: 41.09 | 31: iteration 1230/ 33899 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 1.92 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.878317E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.314 | TFLOPs: 40.12 | 31: iteration 1240/ 33899 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 1.81 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.873864E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.530 | TFLOPs: 42.41 | 31: iteration 1250/ 33899 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 1.82 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.883045E+00 | grad norm: 0.787 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.289 | TFLOPs: 42.22 | 31: iteration 1260/ 33899 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 1.97 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 3.121474E+00 | grad norm: 2.783 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.841 | TFLOPs: 39.00 | 31: iteration 1270/ 33899 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 1.84 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 4.173570E+00 | grad norm: 2.870 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.659 | TFLOPs: 41.68 | 31: iteration 1280/ 33899 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 1.90 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 3.668017E+00 | grad norm: 2.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.967 | TFLOPs: 40.37 | 31: iteration 1290/ 33899 | consumed samples: 660480 | consumed tokens: 1352663040 | elapsed time per iteration (s): 2.11 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 3.460844E+00 | grad norm: 0.995 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 242.728 | TFLOPs: 36.43 | 31: iteration 1300/ 33899 | consumed samples: 665600 | consumed tokens: 1363148800 | elapsed time per iteration (s): 1.96 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 3.241050E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.686 | TFLOPs: 39.28 | 31: iteration 1310/ 33899 | consumed samples: 670720 | consumed tokens: 1373634560 | elapsed time per iteration (s): 1.88 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 3.078997E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.033 | TFLOPs: 40.98 | 31: iteration 1320/ 33899 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 1.83 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 2.990743E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.265 | TFLOPs: 42.07 | 31: iteration 1330/ 33899 | consumed samples: 680960 | consumed tokens: 1394606080 | elapsed time per iteration (s): 1.91 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 2.920427E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.195 | TFLOPs: 40.25 | 31: iteration 1340/ 33899 | consumed samples: 686080 | consumed tokens: 1405091840 | elapsed time per iteration (s): 1.83 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 2.871415E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.310 | TFLOPs: 41.92 | 31: iteration 1350/ 33899 | consumed samples: 691200 | consumed tokens: 1415577600 | elapsed time per iteration (s): 1.88 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 2.868645E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.551 | TFLOPs: 40.91 | 31: iteration 1360/ 33899 | consumed samples: 696320 | consumed tokens: 1426063360 | elapsed time per iteration (s): 1.89 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 2.853667E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.411 | TFLOPs: 40.74 | 31: iteration 1370/ 33899 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 1.85 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 2.822295E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.935 | TFLOPs: 41.57 | 31: iteration 1380/ 33899 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 1.83 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 2.820991E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.054 | TFLOPs: 42.03 | 31: iteration 1390/ 33899 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 1.84 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 2.841414E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.763 | TFLOPs: 41.69 | 31: iteration 1400/ 33899 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 2.09 | learning rate: 1.996E-04 | global batch size: 512 | lm loss: 2.854088E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 245.395 | TFLOPs: 36.83 | 31: iteration 1410/ 33899 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 1.84 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.816730E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.883 | TFLOPs: 41.71 | 31: iteration 1420/ 33899 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 1.90 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.818945E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.523 | TFLOPs: 40.45 | 31: iteration 1430/ 33899 | consumed samples: 732160 | consumed tokens: 1499463680 | elapsed time per iteration (s): 1.86 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.811746E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.951 | TFLOPs: 41.27 | 31: iteration 1440/ 33899 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 1.89 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.808575E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.450 | TFLOPs: 40.59 | 31: iteration 1450/ 33899 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 1.92 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.783847E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.174 | TFLOPs: 39.95 | 31: iteration 1460/ 33899 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 1.98 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.770263E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 258.300 | TFLOPs: 38.77 | 31: iteration 1470/ 33899 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 1.80 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.750063E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.356 | TFLOPs: 42.68 | 31: iteration 1480/ 33899 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 1.84 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.771410E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.065 | TFLOPs: 41.74 | 31: iteration 1490/ 33899 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 2.19 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.791475E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 233.420 | TFLOPs: 35.04 | 31: iteration 1500/ 33899 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 2.08 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.765556E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 245.688 | TFLOPs: 36.88 | 31: iteration 1510/ 33899 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 1.85 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.756738E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.026 | TFLOPs: 41.58 | 31: iteration 1520/ 33899 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 1.86 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.740792E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.667 | TFLOPs: 41.38 | 31: iteration 1530/ 33899 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 1.89 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.771789E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.037 | TFLOPs: 40.68 | 31: iteration 1540/ 33899 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 1.82 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.763610E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.964 | TFLOPs: 42.32 | 31: iteration 1550/ 33899 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 1.88 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.758814E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.304 | TFLOPs: 40.87 | 31: iteration 1560/ 33899 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 1.82 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.728911E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.001 | TFLOPs: 42.33 | 31: iteration 1570/ 33899 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 1.96 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.726171E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 260.947 | TFLOPs: 39.17 | 31: iteration 1580/ 33899 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 1.83 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.727715E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.433 | TFLOPs: 41.94 | 31: iteration 1590/ 33899 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 1.85 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.725686E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.734 | TFLOPs: 41.54 | 31: iteration 1600/ 33899 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 1.90 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.692949E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.034 | TFLOPs: 40.38 | 31: iteration 1610/ 33899 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 1.87 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.725480E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.143 | TFLOPs: 41.15 | 31: iteration 1620/ 33899 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 1.93 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.716822E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.050 | TFLOPs: 39.78 | 31: iteration 1630/ 33899 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 1.87 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.925567E+00 | grad norm: 1.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.862 | TFLOPs: 41.11 | 31: iteration 1640/ 33899 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 1.91 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 3.256482E+00 | grad norm: 1.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.513 | TFLOPs: 40.30 | 31: iteration 1650/ 33899 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 1.90 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 3.201043E+00 | grad norm: 1.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.486 | TFLOPs: 40.45 | 31: iteration 1660/ 33899 | consumed samples: 849920 | consumed 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 16: [2022-11-25 19:15:51,023] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_132_mp_rank_00_optim_states.pt 28: [2022-11-25 19:15:51,025] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_228_mp_rank_00_optim_states.pt. 16: [2022-11-25 19:15:51,023] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 28: [2022-11-25 19:15:51,025] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_228_mp_rank_00_optim_states.pt 16: [2022-11-25 19:15:51,026] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_129_mp_rank_00_optim_states.pt. 16: [2022-11-25 19:15:51,026] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_128_mp_rank_00_optim_states.pt. 28: [2022-11-25 19:15:51,025] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 16: [2022-11-25 19:15:51,026] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_129_mp_rank_00_optim_states.pt 16: [2022-11-25 19:15:51,026] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_128_mp_rank_00_optim_states.pt 16: [2022-11-25 19:15:51,026] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 16: [2022-11-25 19:15:51,026] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 18: [2022-11-25 19:15:51,026] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_147_mp_rank_00_optim_states.pt. 18: [2022-11-25 19:15:51,027] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_147_mp_rank_00_optim_states.pt 18: [2022-11-25 19:15:51,027] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-25 19:15:51,029] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 22: [2022-11-25 19:15:51,031] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_177_mp_rank_00_optim_states.pt. 4: [2022-11-25 19:15:51,029] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-25 19:15:51,029] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 22: [2022-11-25 19:15:51,031] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_177_mp_rank_00_optim_states.pt 22: [2022-11-25 19:15:51,031] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 10: [2022-11-25 19:15:51,034] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_83_mp_rank_00_optim_states.pt. 10: [2022-11-25 19:15:51,034] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_83_mp_rank_00_optim_states.pt 10: [2022-11-25 19:15:51,034] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 8: [2022-11-25 19:15:51,038] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_64_mp_rank_00_optim_states.pt. 8: [2022-11-25 19:15:51,038] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_64_mp_rank_00_optim_states.pt 8: [2022-11-25 19:15:51,038] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 8: [2022-11-25 19:15:51,039] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_69_mp_rank_00_optim_states.pt. 8: [2022-11-25 19:15:51,039] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_69_mp_rank_00_optim_states.pt 8: [2022-11-25 19:15:51,039] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 10: [2022-11-25 19:15:51,047] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_80_mp_rank_00_optim_states.pt. 10: [2022-11-25 19:15:51,047] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_80_mp_rank_00_optim_states.pt 10: [2022-11-25 19:15:51,047] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 14: [2022-11-25 19:15:51,052] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_116_mp_rank_00_optim_states.pt. 14: [2022-11-25 19:15:51,052] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_116_mp_rank_00_optim_states.pt 14: [2022-11-25 19:15:51,052] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 22: [2022-11-25 19:15:51,062] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_180_mp_rank_00_optim_states.pt. 22: [2022-11-25 19:15:51,062] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step2000/bf16_zero_pp_rank_180_mp_rank_00_optim_states.pt 22: [2022-11-25 19:15:51,062] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: successfully saved checkpoint at iteration 2000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 6878.36 31: iteration 2010/ 33899 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 2.66 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.663498E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 192.739 | TFLOPs: 28.93 | 31: iteration 2020/ 33899 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 1.83 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.630692E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.406 | TFLOPs: 41.94 | 31: iteration 2030/ 33899 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 1.88 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.643731E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.348 | TFLOPs: 40.88 | 31: iteration 2040/ 33899 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 1.85 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.655149E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.416 | TFLOPs: 41.49 | 31: iteration 2050/ 33899 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 1.85 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.641849E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.330 | TFLOPs: 41.48 | 31: iteration 2060/ 33899 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 1.88 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.598193E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.137 | TFLOPs: 40.85 | 31: iteration 2070/ 33899 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 2.00 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.609136E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 256.274 | TFLOPs: 38.47 | 31: iteration 2080/ 33899 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 1.92 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.627739E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.022 | TFLOPs: 39.93 | 31: iteration 2090/ 33899 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 1.89 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.609789E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.417 | TFLOPs: 40.59 | 31: iteration 2100/ 33899 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 1.80 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.602593E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.779 | TFLOPs: 42.59 | 31: iteration 2110/ 33899 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 1.89 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.625141E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.617 | TFLOPs: 40.62 | 31: iteration 2120/ 33899 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 1.87 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.612177E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.781 | TFLOPs: 41.09 | 31: iteration 2130/ 33899 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 1.99 | learning rate: 1.987E-04 | global batch size: 512 | lm loss: 2.604458E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 256.948 | TFLOPs: 38.57 | 31: iteration 2140/ 33899 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 1.79 | learning rate: 1.987E-04 | global batch size: 512 | lm loss: 2.593333E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.499 | TFLOPs: 42.85 | 31: iteration 2150/ 33899 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 1.89 | learning rate: 1.987E-04 | global batch size: 512 | lm loss: 2.602828E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.428 | TFLOPs: 40.59 | 31: iteration 2160/ 33899 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 1.86 | learning rate: 1.987E-04 | global batch size: 512 | lm loss: 2.598546E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.944 | TFLOPs: 41.42 | 31: iteration 2170/ 33899 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 1.83 | learning rate: 1.987E-04 | global batch size: 512 | lm loss: 2.602522E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.155 | TFLOPs: 41.90 | 31: iteration 2180/ 33899 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 2.24 | learning rate: 1.987E-04 | global batch size: 512 | lm loss: 2.598094E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 228.686 | TFLOPs: 34.32 | 31: iteration 2190/ 33899 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 1.80 | learning rate: 1.987E-04 | global batch size: 512 | lm loss: 2.609618E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.900 | TFLOPs: 42.61 | 31: iteration 2200/ 33899 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 2.03 | learning rate: 1.986E-04 | global batch size: 512 | lm loss: 2.611649E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 252.832 | TFLOPs: 37.95 | 31: iteration 2210/ 33899 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 1.93 | learning rate: 1.986E-04 | global batch size: 512 | lm loss: 2.580352E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.789 | TFLOPs: 39.74 | 31: iteration 2220/ 33899 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 1.97 | learning rate: 1.986E-04 | global batch size: 512 | lm loss: 2.582654E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.266 | TFLOPs: 38.91 | 31: iteration 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1.984E-04 | global batch size: 512 | lm loss: 2.546292E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.383 | TFLOPs: 40.58 | 31: iteration 2380/ 33899 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 1.84 | learning rate: 1.984E-04 | global batch size: 512 | lm loss: 2.554034E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.002 | TFLOPs: 41.73 | 31: iteration 2390/ 33899 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time per iteration (s): 2.04 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.561102E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 250.511 | TFLOPs: 37.60 | 31: iteration 2400/ 33899 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time 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consumed tokens: 2548039680 | elapsed time per iteration (s): 1.95 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.565240E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.550 | TFLOPs: 39.41 | 31: iteration 2440/ 33899 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 1.87 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.558185E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.967 | TFLOPs: 41.12 | 31: iteration 2450/ 33899 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 1.87 | learning rate: 1.982E-04 | global batch size: 512 | lm loss: 2.542618E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.122 | TFLOPs: 40.99 | 31: iteration 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per iteration (s): 1.85 | learning rate: 1.979E-04 | global batch size: 512 | lm loss: 2.539001E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.684 | TFLOPs: 41.53 | 31: iteration 2640/ 33899 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 1.82 | learning rate: 1.979E-04 | global batch size: 512 | lm loss: 2.505976E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.333 | TFLOPs: 42.23 | 31: iteration 2650/ 33899 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 1.83 | learning rate: 1.979E-04 | global batch size: 512 | lm loss: 2.495608E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.597 | TFLOPs: 41.97 | 31: iteration 2660/ 33899 | consumed samples: 1361920 | 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nan iterations: 0 | samples per second: 277.749 | TFLOPs: 41.69 | 31: iteration 2750/ 33899 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 1.90 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.499705E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.817 | TFLOPs: 40.50 | 31: iteration 2760/ 33899 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 2.07 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.511892E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 246.846 | TFLOPs: 37.05 | 31: iteration 2770/ 33899 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 1.82 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.514782E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.022 | TFLOPs: 42.18 | 31: iteration 2780/ 33899 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 1.82 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.498199E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.957 | TFLOPs: 42.17 | 31: iteration 2790/ 33899 | consumed samples: 1428480 | consumed tokens: 2925527040 | elapsed time per iteration (s): 1.79 | learning rate: 1.976E-04 | global batch size: 512 | lm loss: 2.503301E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.569 | TFLOPs: 43.01 | 31: iteration 2800/ 33899 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 1.80 | learning rate: 1.976E-04 | global batch size: 512 | lm loss: 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consumed tokens: 3030384640 | elapsed time per iteration (s): 1.87 | learning rate: 1.974E-04 | global batch size: 512 | lm loss: 2.471478E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.274 | TFLOPs: 41.17 | 31: iteration 2900/ 33899 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 1.84 | learning rate: 1.974E-04 | global batch size: 512 | lm loss: 2.491383E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.082 | TFLOPs: 41.74 | 31: iteration 2910/ 33899 | consumed samples: 1489920 | consumed tokens: 3051356160 | elapsed time per iteration (s): 1.86 | learning rate: 1.974E-04 | global batch size: 512 | lm loss: 2.483424E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.635 | TFLOPs: 41.37 | 31: iteration 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of nan iterations: 0 | samples per second: 30.651 | TFLOPs: 4.60 | 31: iteration 2980/ 33899 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 2.07 | learning rate: 1.973E-04 | global batch size: 512 | lm loss: 4.739411E+00 | grad norm: 40.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 247.208 | TFLOPs: 37.10 | 31: iteration 2990/ 33899 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 1.81 | learning rate: 1.972E-04 | global batch size: 512 | lm loss: 8.050994E+00 | grad norm: 2.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.616 | TFLOPs: 42.57 | 31: iteration 3000/ 33899 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 1.97 | learning rate: 1.972E-04 | global batch size: 512 | lm loss: 7.048879E+00 | grad norm: 3.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 260.474 | TFLOPs: 39.10 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 3000 | lm loss value: 6.772571E+00 | lm loss PPL: 8.735550E+02 | 31: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 3000 to checkpoints_2b8 0: [2022-11-25 20:21:54,832] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! 0: [2022-11-25 20:21:54,844] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step3000/layer_01-model_00-model_states.pt... 0: [2022-11-25 20:21:55,173] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step3000/layer_01-model_00-model_states.pt. 0: [2022-11-25 20:21:55,173] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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number of nan iterations: 0 | samples per second: 258.496 | TFLOPs: 38.80 | 31: iteration 3040/ 33899 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 1.85 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 5.411230E+00 | grad norm: 1.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.373 | TFLOPs: 41.48 | 31: iteration 3050/ 33899 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 1.91 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 5.047789E+00 | grad norm: 2.497 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.728 | TFLOPs: 40.18 | 31: iteration 3060/ 33899 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 1.89 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 4.516784E+00 | grad norm: 1.735 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.030 | TFLOPs: 40.68 | 31: iteration 3070/ 33899 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 1.99 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 3.811478E+00 | grad norm: 1.715 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 257.555 | TFLOPs: 38.66 | 31: iteration 3080/ 33899 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 1.92 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 3.486581E+00 | grad norm: 1.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.059 | TFLOPs: 39.93 | 31: iteration 3090/ 33899 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 3.16 | learning rate: 1.970E-04 | global batch size: 512 | lm loss: 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1.970E-04 | global batch size: 512 | lm loss: 2.794361E+00 | grad norm: 0.749 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.111 | TFLOPs: 41.44 | 31: iteration 3130/ 33899 | consumed samples: 1602560 | consumed tokens: 3282042880 | elapsed time per iteration (s): 1.84 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.697499E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.405 | TFLOPs: 41.79 | 31: iteration 3140/ 33899 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 1.90 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.626782E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.213 | TFLOPs: 40.41 | 31: iteration 3150/ 33899 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 1.86 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.594065E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.373 | TFLOPs: 41.33 | 31: iteration 3160/ 33899 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 1.86 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.569513E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.623 | TFLOPs: 41.37 | 31: iteration 3170/ 33899 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 1.83 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.560288E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.797 | TFLOPs: 42.00 | 31: iteration 3180/ 33899 | consumed samples: 1628160 | consumed tokens: 3334471680 | elapsed time per iteration (s): 1.79 | learning rate: 1.968E-04 | global batch size: 512 | lm loss: 2.548610E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.060 | TFLOPs: 42.94 | 31: iteration 3190/ 33899 | consumed samples: 1633280 | consumed tokens: 3344957440 | elapsed time per iteration (s): 2.02 | learning rate: 1.968E-04 | global batch size: 512 | lm loss: 2.541735E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 253.553 | TFLOPs: 38.06 | 31: iteration 3200/ 33899 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 1.86 | learning rate: 1.968E-04 | global batch size: 512 | lm loss: 2.528281E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.253 | TFLOPs: 41.31 | 31: iteration 3210/ 33899 | consumed samples: 1643520 | consumed tokens: 3365928960 | elapsed time per iteration (s): 1.82 | learning rate: 1.968E-04 | global batch size: 512 | lm loss: 2.523531E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.418 | TFLOPs: 42.24 | 31: iteration 3220/ 33899 | consumed samples: 1648640 | consumed tokens: 3376414720 | elapsed time per iteration (s): 1.90 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.520364E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.398 | TFLOPs: 40.44 | 31: iteration 3230/ 33899 | consumed samples: 1653760 | consumed tokens: 3386900480 | elapsed time per iteration (s): 1.89 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.495230E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.283 | TFLOPs: 40.57 | 31: iteration 3240/ 33899 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 1.90 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.505157E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.136 | TFLOPs: 40.40 | 31: iteration 3250/ 33899 | consumed samples: 1664000 | consumed tokens: 3407872000 | elapsed time per iteration (s): 1.98 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.486156E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 258.399 | TFLOPs: 38.78 | 31: iteration 3260/ 33899 | consumed samples: 1669120 | consumed tokens: 3418357760 | elapsed time per iteration (s): 1.92 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.509492E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.639 | TFLOPs: 40.02 | 31: iteration 3270/ 33899 | consumed samples: 1674240 | consumed tokens: 3428843520 | elapsed time per iteration (s): 3.08 | learning rate: 1.966E-04 | global batch size: 512 | lm loss: 2.480876E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 166.175 | TFLOPs: 24.94 | 31: iteration 3280/ 33899 | consumed samples: 1679360 | consumed tokens: 3439329280 | elapsed time per iteration (s): 1.87 | learning rate: 1.966E-04 | global batch size: 512 | lm loss: 2.503174E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.749 | TFLOPs: 41.09 | 31: iteration 3290/ 33899 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 1.96 | learning rate: 1.966E-04 | global batch size: 512 | lm loss: 2.497744E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.422 | TFLOPs: 39.24 | 31: iteration 3300/ 33899 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 1.90 | learning rate: 1.966E-04 | global batch size: 512 | lm loss: 2.487384E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.763 | TFLOPs: 40.49 | 31: iteration 3310/ 33899 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 1.93 | learning rate: 1.965E-04 | global batch size: 512 | lm loss: 2.492623E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.071 | TFLOPs: 39.79 | 31: iteration 3320/ 33899 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 1.89 | learning rate: 1.965E-04 | global batch size: 512 | lm loss: 2.518453E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.427 | TFLOPs: 40.74 | 31: iteration 3330/ 33899 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 1.88 | learning rate: 1.965E-04 | global batch size: 512 | lm loss: 2.493198E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.877 | TFLOPs: 40.96 | 31: iteration 3340/ 33899 | consumed samples: 1710080 | consumed tokens: 3502243840 | elapsed time per iteration (s): 1.85 | learning rate: 1.965E-04 | global batch size: 512 | lm loss: 2.472472E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.055 | TFLOPs: 41.58 | 31: iteration 3350/ 33899 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 1.86 | learning rate: 1.964E-04 | global batch size: 512 | lm loss: 2.485426E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.883 | TFLOPs: 41.26 | 31: iteration 3360/ 33899 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 1.94 | learning rate: 1.964E-04 | global batch size: 512 | lm loss: 2.478074E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.789 | TFLOPs: 39.59 | 31: iteration 3370/ 33899 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 1.89 | learning rate: 1.964E-04 | global batch size: 512 | lm loss: 2.487869E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.250 | TFLOPs: 40.56 | 31: iteration 3380/ 33899 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time per iteration (s): 1.80 | learning rate: 1.964E-04 | global batch size: 512 | lm loss: 2.460423E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.175 | TFLOPs: 42.80 | 31: iteration 3390/ 33899 | consumed samples: 1735680 | consumed tokens: 3554672640 | elapsed time per iteration (s): 1.97 | learning rate: 1.964E-04 | global batch size: 512 | lm loss: 2.437999E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 260.515 | TFLOPs: 39.10 | 31: iteration 3400/ 33899 | consumed samples: 1740800 | consumed tokens: 3565158400 | elapsed time per iteration (s): 1.86 | learning rate: 1.963E-04 | global batch size: 512 | lm loss: 2.489090E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.511 | TFLOPs: 41.35 | 31: iteration 3410/ 33899 | consumed samples: 1745920 | consumed tokens: 3575644160 | elapsed time per iteration (s): 1.87 | learning rate: 1.963E-04 | global batch size: 512 | lm loss: 2.456742E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.644 | TFLOPs: 41.07 | 31: iteration 3420/ 33899 | consumed samples: 1751040 | consumed tokens: 3586129920 | elapsed time per iteration (s): 1.87 | learning rate: 1.963E-04 | global batch size: 512 | lm loss: 2.467330E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.105 | TFLOPs: 40.99 | 31: iteration 3430/ 33899 | consumed samples: 1756160 | consumed tokens: 3596615680 | elapsed time per iteration (s): 1.90 | learning rate: 1.963E-04 | global batch size: 512 | lm loss: 2.448256E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.765 | TFLOPs: 40.49 | 31: iteration 3440/ 33899 | consumed samples: 1761280 | consumed tokens: 3607101440 | elapsed time per iteration (s): 1.82 | learning rate: 1.962E-04 | global batch size: 512 | lm loss: 2.482632E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.721 | TFLOPs: 42.13 | 31: iteration 3450/ 33899 | consumed samples: 1766400 | consumed tokens: 3617587200 | elapsed time per iteration (s): 1.86 | learning rate: 1.962E-04 | global batch size: 512 | lm loss: 2.416077E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.741 | TFLOPs: 41.39 | 31: iteration 3460/ 33899 | consumed samples: 1771520 | consumed tokens: 3628072960 | elapsed time per iteration (s): 4.03 | learning rate: 1.962E-04 | global batch size: 512 | lm loss: 2.452679E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 126.946 | TFLOPs: 19.05 | 31: iteration 3470/ 33899 | consumed samples: 1776640 | consumed tokens: 3638558720 | elapsed time per iteration (s): 1.88 | learning rate: 1.962E-04 | global batch size: 512 | lm loss: 2.453471E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.457 | TFLOPs: 40.89 | 31: iteration 3480/ 33899 | consumed samples: 1781760 | consumed tokens: 3649044480 | elapsed time per iteration (s): 2.70 | learning rate: 1.961E-04 | global batch size: 512 | lm loss: 2.458112E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.383 | TFLOPs: 28.43 | 31: iteration 3490/ 33899 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 1.81 | learning rate: 1.961E-04 | global batch size: 512 | lm loss: 2.427604E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.304 | TFLOPs: 42.52 | 31: iteration 3500/ 33899 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 1.86 | learning rate: 1.961E-04 | global batch size: 512 | lm loss: 2.464565E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.712 | TFLOPs: 41.23 | 31: iteration 3510/ 33899 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 1.93 | learning rate: 1.961E-04 | global batch size: 512 | lm loss: 2.456472E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.581 | TFLOPs: 39.86 | 31: iteration 3520/ 33899 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 1.83 | learning rate: 1.960E-04 | global batch size: 512 | lm loss: 2.440567E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.201 | TFLOPs: 42.06 | 31: iteration 3530/ 33899 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 1.87 | learning rate: 1.960E-04 | global batch size: 512 | lm loss: 2.445131E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.139 | TFLOPs: 41.00 | 31: iteration 3540/ 33899 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 1.87 | learning rate: 1.960E-04 | global batch size: 512 | lm loss: 2.436955E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.030 | TFLOPs: 41.13 | 31: iteration 3550/ 33899 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 1.81 | learning rate: 1.960E-04 | global batch size: 512 | lm loss: 2.431997E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.568 | TFLOPs: 42.56 | 31: iteration 3560/ 33899 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 1.91 | learning rate: 1.959E-04 | global batch size: 512 | lm loss: 2.453535E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.599 | TFLOPs: 40.17 | 31: iteration 3570/ 33899 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 1.88 | learning rate: 1.959E-04 | global batch size: 512 | lm loss: 2.445858E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.006 | TFLOPs: 40.98 | 31: iteration 3580/ 33899 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 1.94 | learning rate: 1.959E-04 | global batch size: 512 | lm loss: 2.452737E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.567 | TFLOPs: 39.71 | 31: iteration 3590/ 33899 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 1.93 | learning rate: 1.959E-04 | global batch size: 512 | lm loss: 2.455855E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.945 | TFLOPs: 39.92 | 31: iteration 3600/ 33899 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 1.84 | learning rate: 1.958E-04 | global batch size: 512 | lm loss: 2.422266E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.953 | TFLOPs: 41.87 | 31: iteration 3610/ 33899 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 1.93 | learning rate: 1.958E-04 | global batch size: 512 | lm loss: 2.436635E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.738 | TFLOPs: 39.74 | 31: iteration 3620/ 33899 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 1.91 | learning rate: 1.958E-04 | global batch size: 512 | lm loss: 2.448248E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.454 | TFLOPs: 40.29 | 31: iteration 3630/ 33899 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 1.89 | learning rate: 1.958E-04 | global batch size: 512 | lm loss: 2.437847E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.205 | TFLOPs: 40.56 | 31: iteration 3640/ 33899 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 1.84 | learning rate: 1.957E-04 | global batch size: 512 | lm loss: 2.452330E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.702 | TFLOPs: 41.83 | 31: iteration 3650/ 33899 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 1.85 | learning rate: 1.957E-04 | global batch size: 512 | lm loss: 2.445854E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.487 | TFLOPs: 41.50 | 31: iteration 3660/ 33899 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 3.66 | learning rate: 1.957E-04 | global batch size: 512 | lm loss: 2.430620E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 139.864 | TFLOPs: 20.99 | 31: iteration 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281.456 | TFLOPs: 42.25 | 31: iteration 3700/ 33899 | consumed samples: 1894400 | consumed tokens: 3879731200 | elapsed time per iteration (s): 1.82 | learning rate: 1.956E-04 | global batch size: 512 | lm loss: 2.417886E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.476 | TFLOPs: 42.25 | 31: iteration 3710/ 33899 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 1.84 | learning rate: 1.956E-04 | global batch size: 512 | lm loss: 2.418317E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.561 | TFLOPs: 41.81 | 31: iteration 3720/ 33899 | consumed samples: 1904640 | consumed tokens: 3900702720 | elapsed time per iteration (s): 1.90 | learning rate: 1.955E-04 | global batch size: 512 | lm loss: 2.399796E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.007 | TFLOPs: 40.53 | 31: iteration 3730/ 33899 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 1.81 | learning rate: 1.955E-04 | global batch size: 512 | lm loss: 2.427095E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.177 | TFLOPs: 42.50 | 31: iteration 3740/ 33899 | consumed samples: 1914880 | consumed tokens: 3921674240 | elapsed time per iteration (s): 1.80 | learning rate: 1.955E-04 | global batch size: 512 | lm loss: 2.398066E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.636 | TFLOPs: 42.72 | 31: iteration 3750/ 33899 | consumed samples: 1920000 | consumed tokens: 3932160000 | elapsed time per iteration (s): 1.82 | learning rate: 1.955E-04 | global batch size: 512 | lm loss: 2.409171E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.609 | TFLOPs: 42.27 | 31: iteration 3760/ 33899 | consumed samples: 1925120 | consumed tokens: 3942645760 | elapsed time per iteration (s): 1.84 | learning rate: 1.954E-04 | global batch size: 512 | lm loss: 2.420801E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.182 | TFLOPs: 41.75 | 31: iteration 3770/ 33899 | consumed samples: 1930240 | consumed tokens: 3953131520 | elapsed time per iteration (s): 1.86 | learning rate: 1.954E-04 | global batch size: 512 | lm loss: 2.434238E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.632 | TFLOPs: 41.22 | 31: iteration 3780/ 33899 | consumed samples: 1935360 | consumed tokens: 3963617280 | elapsed time per iteration (s): 1.77 | learning rate: 1.954E-04 | global batch size: 512 | lm loss: 2.402484E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.016 | TFLOPs: 43.38 | 31: iteration 3790/ 33899 | consumed samples: 1940480 | consumed tokens: 3974103040 | elapsed time per iteration (s): 1.88 | learning rate: 1.953E-04 | global batch size: 512 | lm loss: 2.424193E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.710 | TFLOPs: 40.78 | 31: iteration 3800/ 33899 | consumed samples: 1945600 | consumed tokens: 3984588800 | elapsed time per iteration (s): 1.90 | learning rate: 1.953E-04 | global batch size: 512 | lm loss: 2.420820E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.657 | TFLOPs: 40.47 | 31: iteration 3810/ 33899 | consumed samples: 1950720 | consumed tokens: 3995074560 | elapsed time per iteration (s): 1.87 | learning rate: 1.953E-04 | global batch size: 512 | lm loss: 2.413031E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.092 | TFLOPs: 41.14 | 31: iteration 3820/ 33899 | consumed samples: 1955840 | consumed tokens: 4005560320 | elapsed time per iteration (s): 1.87 | learning rate: 1.953E-04 | global batch size: 512 | lm loss: 2.411674E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.693 | TFLOPs: 41.08 | 31: iteration 3830/ 33899 | consumed samples: 1960960 | consumed tokens: 4016046080 | elapsed time per iteration (s): 1.89 | learning rate: 1.952E-04 | global batch size: 512 | lm loss: 2.398649E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.416 | TFLOPs: 40.74 | 31: iteration 3840/ 33899 | consumed samples: 1966080 | consumed tokens: 4026531840 | elapsed time per iteration (s): 1.80 | learning rate: 1.952E-04 | global batch size: 512 | lm loss: 2.401558E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.814 | TFLOPs: 42.75 | 31: iteration 3850/ 33899 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 2.33 | learning rate: 1.952E-04 | global batch size: 512 | lm loss: 2.413736E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 220.166 | TFLOPs: 33.05 | 31: iteration 3860/ 33899 | consumed samples: 1976320 | consumed tokens: 4047503360 | elapsed time per iteration (s): 1.99 | learning rate: 1.952E-04 | global batch size: 512 | lm loss: 2.405172E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 257.806 | TFLOPs: 38.70 | 31: iteration 3870/ 33899 | consumed samples: 1981440 | 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271.433 | TFLOPs: 40.74 | 0: steps: 4000 loss: 2.3853 iter time (s): 2.953 samples/sec: 173.409 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 4000 | lm loss value: 2.375781E+00 | lm loss PPL: 1.075941E+01 | 31: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 4000 to checkpoints_2b8 0: [2022-11-25 20:54:32,125] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2022-11-25 20:54:32,139] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step4000/layer_01-model_00-model_states.pt... 0: [2022-11-25 20:54:32,419] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step4000/layer_01-model_00-model_states.pt. 0: [2022-11-25 20:54:32,419] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_2b8/global_step4000/bf16_zero_pp_rank_215_mp_rank_00_optim_states.pt. 11: [2022-11-25 20:54:38,592] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step4000/bf16_zero_pp_rank_92_mp_rank_00_optim_states.pt 11: [2022-11-25 20:54:38,592] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 26: [2022-11-25 20:54:38,592] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step4000/bf16_zero_pp_rank_215_mp_rank_00_optim_states.pt 26: [2022-11-25 20:54:38,592] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 14: [2022-11-25 20:54:38,596] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step4000/bf16_zero_pp_rank_113_mp_rank_00_optim_states.pt. 14: [2022-11-25 20:54:38,596] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step4000/bf16_zero_pp_rank_113_mp_rank_00_optim_states.pt 14: [2022-11-25 20:54:38,596] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 20:54:38,599] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step4000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-25 20:54:38,599] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step4000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-25 20:54:38,599] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 15: [2022-11-25 20:54:38,601] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step4000/bf16_zero_pp_rank_126_mp_rank_00_optim_states.pt. 15: [2022-11-25 20:54:38,602] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step4000/bf16_zero_pp_rank_126_mp_rank_00_optim_states.pt 15: [2022-11-25 20:54:38,602] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 30: [2022-11-25 20:54:38,619] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step4000/bf16_zero_pp_rank_247_mp_rank_00_optim_states.pt. 30: [2022-11-25 20:54:38,620] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step4000/bf16_zero_pp_rank_247_mp_rank_00_optim_states.pt 30: [2022-11-25 20:54:38,620] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 6501.48 31: iteration 4010/ 33899 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 2.55 | learning rate: 1.947E-04 | global batch size: 512 | lm loss: 2.405602E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 200.949 | TFLOPs: 30.16 | 31: iteration 4020/ 33899 | consumed samples: 2058240 | consumed tokens: 4215275520 | elapsed time per iteration (s): 1.86 | learning rate: 1.947E-04 | global batch size: 512 | lm loss: 2.386246E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.970 | TFLOPs: 41.42 | 31: iteration 4030/ 33899 | consumed samples: 2063360 | consumed tokens: 4225761280 | elapsed time per iteration (s): 1.95 | learning rate: 1.947E-04 | global batch size: 512 | lm loss: 2.399304E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.922 | TFLOPs: 39.31 | 31: iteration 4040/ 33899 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 1.85 | learning rate: 1.947E-04 | global batch size: 512 | lm loss: 2.378626E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.980 | TFLOPs: 41.57 | 31: iteration 4050/ 33899 | consumed samples: 2073600 | consumed tokens: 4246732800 | elapsed time per iteration (s): 1.83 | learning rate: 1.946E-04 | global batch size: 512 | lm loss: 2.382257E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.079 | TFLOPs: 41.89 | 31: iteration 4060/ 33899 | consumed samples: 2078720 | consumed tokens: 4257218560 | elapsed time per iteration (s): 1.79 | learning rate: 1.946E-04 | global batch size: 512 | lm loss: 2.380874E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.813 | TFLOPs: 43.05 | 31: iteration 4070/ 33899 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 1.92 | learning rate: 1.946E-04 | global batch size: 512 | lm loss: 2.387697E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.221 | TFLOPs: 40.11 | 31: iteration 4080/ 33899 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 1.79 | learning rate: 1.945E-04 | global batch size: 512 | lm loss: 2.388308E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.322 | TFLOPs: 42.83 | 31: iteration 4090/ 33899 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 1.77 | learning rate: 1.945E-04 | global batch size: 512 | lm loss: 2.378252E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.847 | TFLOPs: 43.50 | 31: iteration 4100/ 33899 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 1.85 | learning rate: 1.945E-04 | global batch size: 512 | lm loss: 2.422774E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.206 | TFLOPs: 41.61 | 31: iteration 4110/ 33899 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 1.89 | learning rate: 1.945E-04 | global batch size: 512 | lm loss: 2.391267E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.893 | TFLOPs: 40.66 | 31: iteration 4120/ 33899 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 1.87 | learning rate: 1.944E-04 | global batch size: 512 | lm loss: 2.367848E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.903 | TFLOPs: 41.11 | 31: iteration 4130/ 33899 | consumed samples: 2114560 | consumed tokens: 4330618880 | elapsed time per iteration (s): 1.84 | learning rate: 1.944E-04 | global batch size: 512 | lm loss: 2.400844E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.232 | TFLOPs: 41.76 | 31: iteration 4140/ 33899 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 1.89 | learning rate: 1.944E-04 | global batch size: 512 | lm loss: 2.381387E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.417 | TFLOPs: 40.74 | 31: iteration 4150/ 33899 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 1.89 | learning rate: 1.943E-04 | global batch size: 512 | lm loss: 2.412119E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.021 | TFLOPs: 40.68 | 31: iteration 4160/ 33899 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 1.82 | learning rate: 1.943E-04 | global batch size: 512 | lm loss: 2.398381E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.566 | TFLOPs: 42.11 | 31: iteration 4170/ 33899 | consumed samples: 2135040 | consumed tokens: 4372561920 | elapsed time per iteration (s): 1.91 | learning rate: 1.943E-04 | global batch size: 512 | lm loss: 2.413426E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.594 | TFLOPs: 40.16 | 31: iteration 4180/ 33899 | consumed samples: 2140160 | consumed tokens: 4383047680 | elapsed time per iteration (s): 1.85 | learning rate: 1.942E-04 | global batch size: 512 | lm loss: 2.393194E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.360 | TFLOPs: 41.63 | 31: iteration 4190/ 33899 | consumed samples: 2145280 | consumed tokens: 4393533440 | elapsed time per iteration (s): 1.80 | learning rate: 1.942E-04 | global batch size: 512 | lm loss: 2.366456E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.122 | TFLOPs: 42.80 | 31: iteration 4200/ 33899 | consumed samples: 2150400 | consumed tokens: 4404019200 | elapsed time per iteration (s): 1.80 | learning rate: 1.942E-04 | global batch size: 512 | lm loss: 2.363939E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.069 | TFLOPs: 42.64 | 31: iteration 4210/ 33899 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 1.91 | learning rate: 1.942E-04 | global batch size: 512 | lm loss: 2.349696E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.572 | TFLOPs: 40.31 | 31: iteration 4220/ 33899 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 1.81 | learning rate: 1.941E-04 | global batch size: 512 | lm loss: 2.381193E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.241 | TFLOPs: 42.36 | 31: iteration 4230/ 33899 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 1.78 | learning rate: 1.941E-04 | global batch size: 512 | lm loss: 2.392385E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.917 | TFLOPs: 43.21 | 31: iteration 4240/ 33899 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 1.87 | learning rate: 1.941E-04 | global batch size: 512 | lm loss: 2.363664E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.604 | TFLOPs: 41.07 | 31: iteration 4250/ 33899 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 1.84 | learning rate: 1.940E-04 | global batch size: 512 | lm loss: 2.390684E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.646 | TFLOPs: 41.82 | 31: iteration 4260/ 33899 | consumed samples: 2181120 | consumed tokens: 4466933760 | elapsed time per iteration (s): 1.94 | learning rate: 1.940E-04 | global batch size: 512 | lm loss: 2.342797E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.021 | TFLOPs: 39.63 | 31: iteration 4270/ 33899 | consumed samples: 2186240 | consumed tokens: 4477419520 | elapsed time per iteration (s): 1.82 | learning rate: 1.940E-04 | global batch size: 512 | lm loss: 2.362523E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.367 | TFLOPs: 42.23 | 31: iteration 4280/ 33899 | consumed samples: 2191360 | consumed tokens: 4487905280 | elapsed time per iteration (s): 1.78 | learning rate: 1.939E-04 | global batch size: 512 | lm loss: 2.369523E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.777 | TFLOPs: 43.19 | 31: iteration 4290/ 33899 | consumed samples: 2196480 | consumed tokens: 4498391040 | elapsed time per iteration (s): 1.89 | learning rate: 1.939E-04 | global batch size: 512 | lm loss: 2.370927E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.284 | TFLOPs: 40.72 | 31: iteration 4300/ 33899 | consumed samples: 2201600 | consumed tokens: 4508876800 | elapsed time per iteration (s): 1.83 | learning rate: 1.939E-04 | global batch size: 512 | lm loss: 2.393315E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.859 | TFLOPs: 42.01 | 31: iteration 4310/ 33899 | consumed samples: 2206720 | consumed tokens: 4519362560 | elapsed time per iteration (s): 1.83 | learning rate: 1.939E-04 | global batch size: 512 | lm loss: 2.379283E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.121 | TFLOPs: 41.89 | 31: iteration 4320/ 33899 | consumed samples: 2211840 | consumed tokens: 4529848320 | elapsed time per iteration (s): 1.77 | learning rate: 1.938E-04 | global batch size: 512 | lm loss: 2.350707E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.982 | TFLOPs: 43.37 | 31: iteration 4330/ 33899 | consumed samples: 2216960 | consumed tokens: 4540334080 | elapsed time per iteration (s): 1.93 | learning rate: 1.938E-04 | global batch size: 512 | lm loss: 2.355660E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.412 | TFLOPs: 39.84 | 31: iteration 4340/ 33899 | consumed samples: 2222080 | consumed tokens: 4550819840 | elapsed time per iteration (s): 1.84 | learning rate: 1.938E-04 | global batch size: 512 | lm loss: 2.362378E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.355 | TFLOPs: 41.78 | 31: iteration 4350/ 33899 | consumed samples: 2227200 | consumed tokens: 4561305600 | elapsed time per iteration (s): 1.82 | learning rate: 1.937E-04 | global batch size: 512 | lm loss: 2.355047E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.005 | TFLOPs: 42.33 | 31: iteration 4360/ 33899 | consumed samples: 2232320 | consumed tokens: 4571791360 | elapsed time per iteration (s): 1.89 | learning rate: 1.937E-04 | global batch size: 512 | lm loss: 2.345658E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.759 | TFLOPs: 40.64 | 31: iteration 4370/ 33899 | consumed samples: 2237440 | consumed tokens: 4582277120 | elapsed time per iteration (s): 1.86 | learning rate: 1.937E-04 | global batch size: 512 | lm loss: 2.360923E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.536 | TFLOPs: 41.36 | 31: iteration 4380/ 33899 | consumed samples: 2242560 | consumed tokens: 4592762880 | elapsed time per iteration (s): 1.84 | learning rate: 1.936E-04 | global batch size: 512 | lm loss: 2.369650E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.435 | TFLOPs: 41.79 | 31: iteration 4390/ 33899 | consumed samples: 2247680 | consumed tokens: 4603248640 | elapsed time per iteration (s): 1.85 | learning rate: 1.936E-04 | global batch size: 512 | lm loss: 2.344708E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.494 | TFLOPs: 41.65 | 31: iteration 4400/ 33899 | consumed samples: 2252800 | consumed tokens: 4613734400 | elapsed time per iteration (s): 1.88 | learning rate: 1.936E-04 | global batch size: 512 | lm loss: 2.356406E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.748 | TFLOPs: 40.94 | 31: iteration 4410/ 33899 | consumed samples: 2257920 | consumed tokens: 4624220160 | elapsed time per iteration (s): 1.82 | learning rate: 1.935E-04 | global batch size: 512 | lm loss: 2.356095E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.063 | TFLOPs: 42.34 | 31: iteration 4420/ 33899 | consumed samples: 2263040 | consumed tokens: 4634705920 | elapsed time per iteration (s): 1.84 | learning rate: 1.935E-04 | global batch size: 512 | lm loss: 2.369185E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.903 | TFLOPs: 41.86 | 31: iteration 4430/ 33899 | consumed samples: 2268160 | consumed tokens: 4645191680 | elapsed time per iteration (s): 1.85 | learning rate: 1.935E-04 | global batch size: 512 | lm loss: 2.358892E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.138 | TFLOPs: 41.45 | 31: iteration 4440/ 33899 | consumed samples: 2273280 | consumed tokens: 4655677440 | elapsed time per iteration (s): 1.86 | learning rate: 1.934E-04 | global batch size: 512 | lm loss: 2.348331E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.147 | TFLOPs: 41.30 | 31: iteration 4450/ 33899 | consumed samples: 2278400 | consumed tokens: 4666163200 | elapsed time per iteration (s): 1.90 | learning rate: 1.934E-04 | global batch size: 512 | lm loss: 2.348886E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.824 | TFLOPs: 40.50 | 31: iteration 4460/ 33899 | consumed samples: 2283520 | consumed tokens: 4676648960 | elapsed time per iteration (s): 1.82 | learning rate: 1.934E-04 | global batch size: 512 | lm loss: 2.346250E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.827 | TFLOPs: 42.30 | 31: iteration 4470/ 33899 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 1.88 | learning rate: 1.934E-04 | global batch size: 512 | lm loss: 2.343618E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.343 | TFLOPs: 40.88 | 31: iteration 4480/ 33899 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 1.97 | learning rate: 1.933E-04 | global batch size: 512 | lm loss: 2.348503E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 260.499 | TFLOPs: 39.10 | 31: iteration 4490/ 33899 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 1.84 | learning rate: 1.933E-04 | global batch size: 512 | lm loss: 2.342313E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.815 | TFLOPs: 41.85 | 31: iteration 4500/ 33899 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 1.84 | learning rate: 1.933E-04 | global batch size: 512 | lm loss: 2.341901E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.801 | TFLOPs: 41.85 | 31: iteration 4510/ 33899 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 1.94 | learning rate: 1.932E-04 | global batch size: 512 | lm loss: 2.350110E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.591 | TFLOPs: 39.56 | 31: iteration 4520/ 33899 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 1.90 | learning rate: 1.932E-04 | global batch size: 512 | lm loss: 2.363547E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.048 | TFLOPs: 40.53 | 31: iteration 4530/ 33899 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 1.84 | learning rate: 1.932E-04 | global batch size: 512 | lm loss: 2.372070E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.521 | TFLOPs: 41.65 | 31: iteration 4540/ 33899 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 1.95 | learning rate: 1.931E-04 | global batch size: 512 | lm loss: 2.367328E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.687 | TFLOPs: 39.43 | 31: iteration 4550/ 33899 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 1.90 | learning rate: 1.931E-04 | global batch size: 512 | lm loss: 2.352138E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.085 | TFLOPs: 40.54 | 31: iteration 4560/ 33899 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 1.89 | learning rate: 1.931E-04 | global batch size: 512 | lm loss: 2.344792E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.221 | TFLOPs: 40.56 | 31: iteration 4570/ 33899 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 1.86 | learning rate: 1.930E-04 | global batch size: 512 | lm loss: 2.346825E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.259 | TFLOPs: 41.31 | 31: iteration 4580/ 33899 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 1.81 | learning rate: 1.930E-04 | global batch size: 512 | lm loss: 2.359877E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.640 | TFLOPs: 42.42 | 31: iteration 4590/ 33899 | consumed samples: 2350080 | consumed tokens: 4812963840 | elapsed time per iteration (s): 1.84 | learning rate: 1.930E-04 | global batch size: 512 | lm loss: 2.379613E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.893 | TFLOPs: 41.71 | 31: iteration 4600/ 33899 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 1.81 | learning rate: 1.929E-04 | global batch size: 512 | lm loss: 2.352105E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.123 | TFLOPs: 42.35 | 31: iteration 4610/ 33899 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 1.95 | learning rate: 1.929E-04 | global batch size: 512 | lm loss: 2.319363E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.010 | 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Checkpoint global_step5000 is ready now! 28: [2022-11-25 21:25:33,036] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: successfully saved checkpoint at iteration 5000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 7101.23 31: iteration 5010/ 33899 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 2.73 | learning rate: 1.915E-04 | global batch size: 512 | lm loss: 2.333362E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 187.254 | TFLOPs: 28.11 | 31: iteration 5020/ 33899 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 1.86 | learning rate: 1.915E-04 | global batch size: 512 | lm loss: 2.346430E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.456 | TFLOPs: 41.34 | 31: iteration 5030/ 33899 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 1.79 | learning rate: 1.915E-04 | global batch size: 512 | lm loss: 2.327897E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.847 | TFLOPs: 42.90 | 31: iteration 5040/ 33899 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 1.84 | learning rate: 1.914E-04 | global batch size: 512 | lm loss: 2.312781E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.645 | TFLOPs: 41.67 | 31: iteration 5050/ 33899 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 1.91 | learning rate: 1.914E-04 | global batch size: 512 | lm loss: 2.321015E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.513 | 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iterations: 0 | samples per second: 286.501 | TFLOPs: 43.00 | 31: iteration 5090/ 33899 | consumed samples: 2606080 | consumed tokens: 5337251840 | elapsed time per iteration (s): 1.84 | learning rate: 1.912E-04 | global batch size: 512 | lm loss: 2.327801E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.104 | TFLOPs: 41.74 | 31: iteration 5100/ 33899 | consumed samples: 2611200 | consumed tokens: 5347737600 | elapsed time per iteration (s): 1.95 | learning rate: 1.912E-04 | global batch size: 512 | lm loss: 2.321467E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.077 | TFLOPs: 39.34 | 31: iteration 5110/ 33899 | consumed samples: 2616320 | consumed tokens: 5358223360 | elapsed time per iteration (s): 1.81 | learning rate: 1.912E-04 | global batch size: 512 | lm loss: 2.307671E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.112 | TFLOPs: 42.49 | 31: iteration 5120/ 33899 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 1.87 | learning rate: 1.911E-04 | global batch size: 512 | lm loss: 2.322111E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.303 | TFLOPs: 41.17 | 31: iteration 5130/ 33899 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 1.86 | learning rate: 1.911E-04 | global batch size: 512 | lm loss: 2.308962E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.296 | TFLOPs: 41.32 | 31: iteration 5140/ 33899 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 1.78 | learning rate: 1.911E-04 | global batch size: 512 | lm loss: 2.322214E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.408 | TFLOPs: 43.14 | 31: iteration 5150/ 33899 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 1.82 | learning rate: 1.910E-04 | global batch size: 512 | lm loss: 2.317335E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.072 | TFLOPs: 42.19 | 31: iteration 5160/ 33899 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 1.84 | learning rate: 1.910E-04 | global batch size: 512 | lm loss: 2.334156E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.084 | TFLOPs: 41.74 | 31: iteration 5170/ 33899 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 1.88 | learning rate: 1.910E-04 | global batch size: 512 | lm loss: 2.323460E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.860 | TFLOPs: 40.95 | 31: iteration 5180/ 33899 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 1.84 | learning rate: 1.909E-04 | global batch size: 512 | lm loss: 2.319683E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.312 | TFLOPs: 41.77 | 31: iteration 5190/ 33899 | consumed samples: 2657280 | consumed tokens: 5442109440 | elapsed time per iteration (s): 1.81 | learning rate: 1.909E-04 | global batch size: 512 | lm loss: 2.314452E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.321 | TFLOPs: 42.37 | 31: iteration 5200/ 33899 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 1.84 | learning rate: 1.908E-04 | global batch size: 512 | lm loss: 2.306249E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.599 | TFLOPs: 41.82 | 31: iteration 5210/ 33899 | consumed samples: 2667520 | consumed tokens: 5463080960 | elapsed time per iteration (s): 1.80 | learning rate: 1.908E-04 | global batch size: 512 | lm loss: 2.315362E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.949 | TFLOPs: 42.62 | 31: iteration 5220/ 33899 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 1.86 | learning rate: 1.908E-04 | global batch size: 512 | lm loss: 2.317388E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.805 | TFLOPs: 41.25 | 31: iteration 5230/ 33899 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 1.86 | learning rate: 1.907E-04 | global batch size: 512 | lm loss: 2.304734E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.983 | TFLOPs: 41.42 | 31: iteration 5240/ 33899 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 1.92 | learning rate: 1.907E-04 | global batch size: 512 | lm loss: 2.310107E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.267 | TFLOPs: 39.97 | 31: iteration 5250/ 33899 | consumed samples: 2688000 | consumed tokens: 5505024000 | elapsed time per iteration (s): 1.87 | learning rate: 1.907E-04 | global batch size: 512 | lm loss: 2.306141E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.573 | TFLOPs: 41.06 | 31: iteration 5260/ 33899 | consumed samples: 2693120 | consumed tokens: 5515509760 | elapsed time per iteration (s): 1.90 | learning rate: 1.906E-04 | global batch size: 512 | lm loss: 2.337818E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.156 | TFLOPs: 40.55 | 31: iteration 5270/ 33899 | consumed samples: 2698240 | consumed tokens: 5525995520 | elapsed time per iteration (s): 1.88 | learning rate: 1.906E-04 | global batch size: 512 | lm loss: 2.306453E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.049 | TFLOPs: 40.83 | 31: iteration 5280/ 33899 | consumed samples: 2703360 | consumed tokens: 5536481280 | elapsed time per iteration (s): 1.93 | learning rate: 1.905E-04 | global batch size: 512 | lm loss: 2.295457E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.890 | 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iterations: 0 | samples per second: 281.873 | TFLOPs: 42.31 | 31: iteration 5320/ 33899 | consumed samples: 2723840 | consumed tokens: 5578424320 | elapsed time per iteration (s): 1.90 | learning rate: 1.904E-04 | global batch size: 512 | lm loss: 2.295212E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.941 | TFLOPs: 40.37 | 31: iteration 5330/ 33899 | consumed samples: 2728960 | consumed tokens: 5588910080 | elapsed time per iteration (s): 1.77 | learning rate: 1.904E-04 | global batch size: 512 | lm loss: 2.311218E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.136 | TFLOPs: 43.40 | 31: iteration 5340/ 33899 | consumed samples: 2734080 | consumed tokens: 5599395840 | elapsed time per iteration (s): 1.81 | learning rate: 1.903E-04 | global batch size: 512 | lm loss: 2.314783E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.360 | TFLOPs: 42.38 | 31: iteration 5350/ 33899 | consumed samples: 2739200 | consumed tokens: 5609881600 | elapsed time per iteration (s): 1.82 | learning rate: 1.903E-04 | global batch size: 512 | lm loss: 2.310627E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.685 | TFLOPs: 42.28 | 31: iteration 5360/ 33899 | consumed samples: 2744320 | consumed tokens: 5620367360 | elapsed time per iteration (s): 1.82 | learning rate: 1.902E-04 | global batch size: 512 | lm loss: 2.327054E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.437 | TFLOPs: 42.24 | 31: iteration 5370/ 33899 | consumed samples: 2749440 | consumed tokens: 5630853120 | elapsed time per iteration (s): 1.84 | learning rate: 1.902E-04 | global batch size: 512 | lm loss: 2.291334E+00 | 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batch size: 512 | lm loss: 2.295603E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.753 | TFLOPs: 42.74 | 31: iteration 5410/ 33899 | consumed samples: 2769920 | consumed tokens: 5672796160 | elapsed time per iteration (s): 1.84 | learning rate: 1.900E-04 | global batch size: 512 | lm loss: 2.291302E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.804 | TFLOPs: 41.70 | 31: iteration 5420/ 33899 | consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 1.81 | learning rate: 1.900E-04 | global batch size: 512 | lm loss: 2.297052E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.147 | TFLOPs: 42.35 | 31: iteration 5430/ 33899 | consumed samples: 2780160 | consumed tokens: 5693767680 | elapsed time per iteration (s): 1.85 | learning rate: 1.900E-04 | global batch size: 512 | lm loss: 2.293283E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.838 | TFLOPs: 41.55 | 31: iteration 5440/ 33899 | consumed samples: 2785280 | consumed tokens: 5704253440 | elapsed time per iteration (s): 1.88 | learning rate: 1.899E-04 | global batch size: 512 | lm loss: 2.309159E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.263 | TFLOPs: 40.87 | 31: iteration 5450/ 33899 | consumed samples: 2790400 | consumed tokens: 5714739200 | elapsed time per iteration (s): 1.79 | learning rate: 1.899E-04 | global batch size: 512 | lm loss: 2.293912E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.560 | TFLOPs: 43.01 | 31: iteration 5460/ 33899 | consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 1.82 | learning rate: 1.899E-04 | global batch size: 512 | lm loss: 2.296351E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.738 | TFLOPs: 42.29 | 31: iteration 5470/ 33899 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 1.91 | learning rate: 1.898E-04 | global batch size: 512 | lm loss: 2.268229E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.423 | TFLOPs: 40.14 | 31: iteration 5480/ 33899 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 2.24 | learning rate: 1.898E-04 | global batch size: 512 | lm loss: 2.302167E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 228.572 | TFLOPs: 34.31 | 31: iteration 5490/ 33899 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 1.92 | learning rate: 1.897E-04 | global batch size: 512 | lm loss: 2.291919E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.029 | TFLOPs: 39.93 | 31: iteration 5500/ 33899 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 1.84 | learning rate: 1.897E-04 | global batch size: 512 | lm loss: 2.300953E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.575 | TFLOPs: 41.81 | 31: iteration 5510/ 33899 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 1.84 | learning rate: 1.897E-04 | global batch size: 512 | lm loss: 2.301100E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.799 | 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grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.253 | TFLOPs: 41.61 | 31: iteration 5610/ 33899 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 1.82 | learning rate: 1.893E-04 | global batch size: 512 | lm loss: 2.306886E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.965 | TFLOPs: 42.32 | 31: iteration 5620/ 33899 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 1.91 | learning rate: 1.892E-04 | global batch size: 512 | lm loss: 2.306130E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.580 | TFLOPs: 40.16 | 31: iteration 5630/ 33899 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 1.85 | learning rate: 1.892E-04 | global batch size: 512 | lm loss: 2.294861E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.176 | TFLOPs: 41.60 | 31: iteration 5640/ 33899 | consumed samples: 2887680 | consumed tokens: 5913968640 | elapsed time per iteration (s): 1.91 | learning rate: 1.891E-04 | global batch size: 512 | lm loss: 2.306112E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.237 | TFLOPs: 40.26 | 31: iteration 5650/ 33899 | consumed samples: 2892800 | consumed tokens: 5924454400 | elapsed time per iteration (s): 1.92 | learning rate: 1.891E-04 | global batch size: 512 | lm loss: 2.275564E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.190 | TFLOPs: 39.95 | 31: iteration 5660/ 33899 | consumed samples: 2897920 | consumed tokens: 5934940160 | elapsed time per iteration (s): 1.86 | learning rate: 1.891E-04 | global batch size: 512 | lm loss: 2.276996E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.798 | TFLOPs: 41.40 | 31: iteration 5670/ 33899 | consumed samples: 2903040 | consumed tokens: 5945425920 | elapsed time per iteration (s): 1.86 | learning rate: 1.890E-04 | global batch size: 512 | lm loss: 2.282669E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.039 | TFLOPs: 41.28 | 31: iteration 5680/ 33899 | consumed samples: 2908160 | consumed tokens: 5955911680 | elapsed time per iteration (s): 1.94 | learning rate: 1.890E-04 | global batch size: 512 | lm loss: 2.303017E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.610 | TFLOPs: 39.57 | 31: iteration 5690/ 33899 | consumed samples: 2913280 | consumed tokens: 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iterations: 0 | samples per second: 268.505 | TFLOPs: 40.30 | 31: iteration 5780/ 33899 | consumed samples: 2959360 | consumed tokens: 6060769280 | elapsed time per iteration (s): 1.86 | learning rate: 1.886E-04 | global batch size: 512 | lm loss: 2.295885E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.569 | TFLOPs: 41.21 | 31: iteration 5790/ 33899 | consumed samples: 2964480 | consumed tokens: 6071255040 | elapsed time per iteration (s): 1.86 | learning rate: 1.885E-04 | global batch size: 512 | lm loss: 2.266162E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.122 | TFLOPs: 41.29 | 31: iteration 5800/ 33899 | consumed samples: 2969600 | consumed tokens: 6081740800 | elapsed time per iteration (s): 1.86 | learning rate: 1.885E-04 | global batch size: 512 | lm loss: 2.291382E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.814 | TFLOPs: 41.40 | 31: iteration 5810/ 33899 | consumed samples: 2974720 | consumed tokens: 6092226560 | elapsed time per iteration (s): 1.85 | learning rate: 1.885E-04 | global batch size: 512 | lm loss: 2.304222E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.660 | TFLOPs: 41.53 | 31: iteration 5820/ 33899 | consumed samples: 2979840 | consumed tokens: 6102712320 | elapsed time per iteration (s): 1.88 | learning rate: 1.884E-04 | global batch size: 512 | lm loss: 2.287564E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.477 | TFLOPs: 40.90 | 31: iteration 5830/ 33899 | consumed samples: 2984960 | consumed tokens: 6113198080 | elapsed time per iteration (s): 1.89 | learning rate: 1.884E-04 | global batch size: 512 | lm loss: 2.273130E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.726 | TFLOPs: 40.63 | 31: iteration 5840/ 33899 | consumed samples: 2990080 | consumed tokens: 6123683840 | elapsed time per iteration (s): 1.91 | learning rate: 1.883E-04 | global batch size: 512 | lm loss: 2.283696E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.368 | TFLOPs: 40.28 | 31: iteration 5850/ 33899 | consumed samples: 2995200 | consumed tokens: 6134169600 | elapsed time per iteration (s): 1.95 | learning rate: 1.883E-04 | global batch size: 512 | lm loss: 2.278185E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.665 | TFLOPs: 39.42 | 31: iteration 5860/ 33899 | consumed samples: 3000320 | consumed tokens: 6144655360 | elapsed time per iteration (s): 1.81 | learning rate: 1.882E-04 | global batch size: 512 | lm loss: 2.277679E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.418 | TFLOPs: 42.39 | 31: iteration 5870/ 33899 | consumed samples: 3005440 | consumed tokens: 6155141120 | elapsed time per iteration (s): 1.84 | learning rate: 1.882E-04 | global batch size: 512 | lm loss: 2.276494E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.729 | TFLOPs: 41.69 | 31: iteration 5880/ 33899 | consumed samples: 3010560 | consumed tokens: 6165626880 | elapsed time per iteration (s): 1.89 | learning rate: 1.882E-04 | global batch size: 512 | lm loss: 2.270279E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.866 | TFLOPs: 40.66 | 31: iteration 5890/ 33899 | consumed samples: 3015680 | consumed tokens: 6176112640 | elapsed time per iteration (s): 1.93 | learning rate: 1.881E-04 | global batch size: 512 | lm loss: 2.277330E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.703 | TFLOPs: 39.73 | 31: iteration 5900/ 33899 | consumed samples: 3020800 | consumed tokens: 6186598400 | elapsed time per iteration (s): 1.84 | learning rate: 1.881E-04 | global batch size: 512 | lm loss: 2.274262E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.219 | TFLOPs: 41.76 | 31: iteration 5910/ 33899 | consumed samples: 3025920 | consumed tokens: 6197084160 | elapsed time per iteration (s): 1.82 | learning rate: 1.880E-04 | global batch size: 512 | lm loss: 2.270649E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.605 | TFLOPs: 42.12 | 31: iteration 5920/ 33899 | consumed samples: 3031040 | consumed tokens: 6207569920 | elapsed time per iteration (s): 1.87 | learning rate: 1.880E-04 | global batch size: 512 | lm loss: 2.240858E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.524 | TFLOPs: 41.05 | 31: iteration 5930/ 33899 | consumed samples: 3036160 | consumed tokens: 6218055680 | elapsed time per iteration (s): 1.85 | learning rate: 1.880E-04 | global batch size: 512 | lm loss: 2.260056E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.101 | TFLOPs: 41.44 | 31: iteration 5940/ 33899 | consumed samples: 3041280 | consumed tokens: 6228541440 | elapsed time per iteration (s): 1.88 | learning rate: 1.879E-04 | global batch size: 512 | lm loss: 2.272763E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.056 | TFLOPs: 40.98 | 31: iteration 5950/ 33899 | consumed samples: 3046400 | consumed tokens: 6239027200 | elapsed time per iteration (s): 1.95 | learning rate: 1.879E-04 | global batch size: 512 | lm loss: 2.265644E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.938 | TFLOPs: 39.47 | 31: iteration 5960/ 33899 | consumed samples: 3051520 | consumed tokens: 6249512960 | elapsed time per iteration (s): 1.91 | learning rate: 1.878E-04 | global batch size: 512 | lm loss: 2.298414E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.890 | TFLOPs: 40.21 | 31: iteration 5970/ 33899 | consumed samples: 3056640 | consumed tokens: 6259998720 | elapsed time per iteration (s): 1.78 | learning rate: 1.878E-04 | global batch size: 512 | lm loss: 2.293187E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.016 | TFLOPs: 43.08 | 31: iteration 5980/ 33899 | consumed samples: 3061760 | consumed tokens: 6270484480 | elapsed time per iteration (s): 1.88 | learning rate: 1.877E-04 | global batch size: 512 | lm loss: 2.253127E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.784 | TFLOPs: 40.94 | 31: iteration 5990/ 33899 | consumed samples: 3066880 | consumed tokens: 6280970240 | elapsed time per iteration (s): 1.87 | learning rate: 1.877E-04 | global batch size: 512 | lm loss: 2.286189E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.276 | TFLOPs: 41.17 | 0: [2022-11-25 21:56:42,204] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00018765600840547612, 0.00018765600840547612, 0.00018765600840547612], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 6000/ 33899 | consumed samples: 3072000 | consumed tokens: 6291456000 | elapsed time per iteration (s): 1.88 | learning rate: 1.877E-04 | global batch size: 512 | lm loss: 2.285539E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.506 | TFLOPs: 40.90 | 0: steps: 6000 loss: 2.3290 iter time (s): 1.854 samples/sec: 276.086 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 6000 | lm loss value: 2.239561E+00 | lm loss PPL: 9.389207E+00 | 31: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 6000 to checkpoints_2b8 0: [2022-11-25 21:56:42,783] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save! 0: [2022-11-25 21:56:42,791] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step6000/layer_01-model_00-model_states.pt... 0: [2022-11-25 21:56:43,107] [INFO] 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global batch size: 512 | lm loss: 2.255543E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.293 | TFLOPs: 42.82 | 31: iteration 6030/ 33899 | consumed samples: 3087360 | consumed tokens: 6322913280 | elapsed time per iteration (s): 1.84 | learning rate: 1.875E-04 | global batch size: 512 | lm loss: 2.250377E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.983 | TFLOPs: 41.72 | 31: iteration 6040/ 33899 | consumed samples: 3092480 | consumed tokens: 6333399040 | elapsed time per iteration (s): 1.86 | learning rate: 1.875E-04 | global batch size: 512 | lm loss: 2.269397E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.473 | TFLOPs: 41.35 | 31: iteration 6050/ 33899 | consumed samples: 3097600 | consumed tokens: 6343884800 | elapsed time per iteration (s): 1.86 | learning rate: 1.874E-04 | global batch size: 512 | lm loss: 2.253469E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.490 | TFLOPs: 41.35 | 31: iteration 6060/ 33899 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 1.86 | learning rate: 1.874E-04 | global batch size: 512 | lm loss: 2.254088E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.678 | TFLOPs: 41.23 | 31: iteration 6070/ 33899 | consumed samples: 3107840 | consumed tokens: 6364856320 | elapsed time per iteration (s): 1.83 | learning rate: 1.874E-04 | global batch size: 512 | lm loss: 2.282818E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.180 | TFLOPs: 42.05 | 31: iteration 6080/ 33899 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 1.91 | learning rate: 1.873E-04 | global batch size: 512 | lm loss: 2.271007E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.883 | TFLOPs: 40.21 | 31: iteration 6090/ 33899 | consumed samples: 3118080 | consumed tokens: 6385827840 | elapsed time per iteration (s): 1.91 | learning rate: 1.873E-04 | global batch size: 512 | lm loss: 2.233756E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.569 | TFLOPs: 40.16 | 31: iteration 6100/ 33899 | consumed samples: 3123200 | consumed tokens: 6396313600 | elapsed time per iteration (s): 1.81 | learning rate: 1.872E-04 | global batch size: 512 | lm loss: 2.266102E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.132 | TFLOPs: 42.35 | 31: iteration 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284.390 | TFLOPs: 42.69 | 31: iteration 6140/ 33899 | consumed samples: 3143680 | consumed tokens: 6438256640 | elapsed time per iteration (s): 1.86 | learning rate: 1.871E-04 | global batch size: 512 | lm loss: 2.268529E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.676 | TFLOPs: 41.38 | 31: iteration 6150/ 33899 | consumed samples: 3148800 | consumed tokens: 6448742400 | elapsed time per iteration (s): 1.88 | learning rate: 1.870E-04 | global batch size: 512 | lm loss: 2.269027E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.589 | TFLOPs: 40.91 | 31: iteration 6160/ 33899 | consumed samples: 3153920 | consumed tokens: 6459228160 | elapsed time per iteration (s): 1.85 | learning rate: 1.870E-04 | global batch size: 512 | lm loss: 2.266346E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.255 | TFLOPs: 41.61 | 31: iteration 6170/ 33899 | consumed samples: 3159040 | consumed tokens: 6469713920 | elapsed time per iteration (s): 1.89 | learning rate: 1.869E-04 | global batch size: 512 | lm loss: 2.280369E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.208 | TFLOPs: 40.71 | 31: iteration 6180/ 33899 | consumed samples: 3164160 | consumed tokens: 6480199680 | elapsed time per iteration (s): 1.77 | learning rate: 1.869E-04 | global batch size: 512 | lm loss: 2.268858E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.498 | TFLOPs: 43.30 | 31: iteration 6190/ 33899 | consumed samples: 3169280 | consumed tokens: 6490685440 | elapsed time per iteration (s): 1.87 | learning rate: 1.868E-04 | global batch size: 512 | lm loss: 2.264236E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.359 | TFLOPs: 41.03 | 31: iteration 6200/ 33899 | consumed samples: 3174400 | consumed tokens: 6501171200 | elapsed time per iteration (s): 1.81 | learning rate: 1.868E-04 | global batch size: 512 | lm loss: 2.262436E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.392 | TFLOPs: 42.39 | 31: iteration 6210/ 33899 | consumed samples: 3179520 | consumed tokens: 6511656960 | elapsed time per iteration (s): 1.88 | learning rate: 1.867E-04 | global batch size: 512 | lm loss: 2.276663E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.379 | TFLOPs: 40.88 | 31: iteration 6220/ 33899 | consumed samples: 3184640 | consumed tokens: 6522142720 | elapsed time per iteration (s): 1.80 | learning rate: 1.867E-04 | global batch size: 512 | lm loss: 2.257604E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.961 | TFLOPs: 42.77 | 31: iteration 6230/ 33899 | consumed samples: 3189760 | consumed tokens: 6532628480 | elapsed time per iteration (s): 1.85 | learning rate: 1.867E-04 | global batch size: 512 | lm loss: 2.277144E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.501 | TFLOPs: 41.65 | 31: iteration 6240/ 33899 | consumed samples: 3194880 | consumed tokens: 6543114240 | elapsed time per iteration (s): 1.86 | learning rate: 1.866E-04 | global batch size: 512 | lm loss: 2.250615E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.423 | TFLOPs: 41.34 | 31: iteration 6250/ 33899 | consumed samples: 3200000 | consumed tokens: 6553600000 | elapsed time per iteration (s): 1.80 | learning rate: 1.866E-04 | global batch size: 512 | lm loss: 2.238414E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.349 | TFLOPs: 42.68 | 31: iteration 6260/ 33899 | consumed samples: 3205120 | consumed tokens: 6564085760 | elapsed time per iteration (s): 1.87 | learning rate: 1.865E-04 | global batch size: 512 | lm loss: 2.256371E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.351 | TFLOPs: 41.03 | 31: iteration 6270/ 33899 | consumed samples: 3210240 | consumed tokens: 6574571520 | elapsed time per iteration (s): 1.84 | learning rate: 1.865E-04 | global batch size: 512 | lm loss: 2.238538E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.086 | TFLOPs: 41.74 | 31: iteration 6280/ 33899 | consumed samples: 3215360 | consumed tokens: 6585057280 | elapsed time 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consumed tokens: 6616514560 | elapsed time per iteration (s): 1.83 | learning rate: 1.863E-04 | global batch size: 512 | lm loss: 2.239855E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.450 | TFLOPs: 41.94 | 31: iteration 6320/ 33899 | consumed samples: 3235840 | consumed tokens: 6627000320 | elapsed time per iteration (s): 1.85 | learning rate: 1.863E-04 | global batch size: 512 | lm loss: 2.273531E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.070 | TFLOPs: 41.44 | 31: iteration 6330/ 33899 | consumed samples: 3240960 | consumed tokens: 6637486080 | elapsed time per iteration (s): 1.85 | learning rate: 1.862E-04 | global batch size: 512 | lm loss: 2.245363E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.241 | TFLOPs: 41.61 | 31: iteration 6340/ 33899 | consumed samples: 3246080 | consumed tokens: 6647971840 | elapsed time per iteration (s): 1.94 | learning rate: 1.862E-04 | global batch size: 512 | lm loss: 2.265267E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.603 | TFLOPs: 39.57 | 31: iteration 6350/ 33899 | consumed samples: 3251200 | consumed tokens: 6658457600 | elapsed time per iteration (s): 1.83 | learning rate: 1.861E-04 | global batch size: 512 | lm loss: 2.249481E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.439 | TFLOPs: 41.94 | 31: iteration 6360/ 33899 | consumed samples: 3256320 | consumed tokens: 6668943360 | elapsed time per iteration (s): 1.86 | learning rate: 1.861E-04 | global batch size: 512 | lm loss: 2.241787E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.991 | TFLOPs: 41.27 | 31: iteration 6370/ 33899 | consumed samples: 3261440 | consumed tokens: 6679429120 | elapsed time per iteration (s): 1.79 | learning rate: 1.860E-04 | global batch size: 512 | lm loss: 2.237283E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.269 | TFLOPs: 42.97 | 31: iteration 6380/ 33899 | consumed samples: 3266560 | consumed tokens: 6689914880 | elapsed time per iteration (s): 1.82 | learning rate: 1.860E-04 | global batch size: 512 | lm loss: 2.266725E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.242 | TFLOPs: 42.21 | 31: iteration 6390/ 33899 | consumed samples: 3271680 | consumed tokens: 6700400640 | elapsed time per iteration (s): 1.91 | learning rate: 1.859E-04 | global batch size: 512 | lm loss: 2.249653E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.545 | TFLOPs: 40.16 | 31: iteration 6400/ 33899 | consumed samples: 3276800 | consumed tokens: 6710886400 | elapsed time per iteration (s): 1.85 | learning rate: 1.859E-04 | global batch size: 512 | lm loss: 2.252815E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.824 | TFLOPs: 41.55 | 31: iteration 6410/ 33899 | consumed samples: 3281920 | consumed tokens: 6721372160 | elapsed time per iteration (s): 1.87 | learning rate: 1.859E-04 | global batch size: 512 | lm loss: 2.250977E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.143 | TFLOPs: 41.00 | 31: iteration 6420/ 33899 | consumed samples: 3287040 | consumed tokens: 6731857920 | elapsed time per iteration (s): 1.87 | learning rate: 1.858E-04 | global batch size: 512 | lm loss: 2.249680E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.367 | TFLOPs: 41.18 | 31: iteration 6430/ 33899 | consumed samples: 3292160 | consumed tokens: 6742343680 | elapsed time per iteration (s): 1.80 | learning rate: 1.858E-04 | global batch size: 512 | lm loss: 2.226802E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.177 | TFLOPs: 42.80 | 31: iteration 6440/ 33899 | consumed samples: 3297280 | consumed tokens: 6752829440 | elapsed time per iteration (s): 1.88 | learning rate: 1.857E-04 | global batch size: 512 | lm loss: 2.249953E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.036 | TFLOPs: 40.98 | 31: iteration 6450/ 33899 | consumed samples: 3302400 | consumed tokens: 6763315200 | elapsed time per iteration (s): 1.95 | learning rate: 1.857E-04 | global batch size: 512 | lm loss: 7.761689E+00 | grad norm: 1.915 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.129 | TFLOPs: 39.34 | 31: iteration 6460/ 33899 | consumed samples: 3307520 | consumed tokens: 6773800960 | elapsed time per iteration (s): 1.91 | learning rate: 1.856E-04 | global batch size: 512 | lm loss: 7.823193E+00 | grad norm: 2.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.262 | TFLOPs: 40.26 | 31: iteration 6470/ 33899 | consumed samples: 3312640 | consumed tokens: 6784286720 | elapsed time per iteration (s): 1.89 | learning rate: 1.856E-04 | global batch size: 512 | lm loss: 7.507084E+00 | grad norm: 1.024 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.579 | TFLOPs: 40.61 | 31: iteration 6480/ 33899 | consumed samples: 3317760 | consumed tokens: 6794772480 | elapsed time per iteration (s): 1.91 | learning rate: 1.855E-04 | global batch size: 512 | lm loss: 7.251688E+00 | grad norm: 1.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.627 | TFLOPs: 40.17 | 31: iteration 6490/ 33899 | consumed samples: 3322880 | consumed tokens: 6805258240 | elapsed time per iteration (s): 1.85 | learning rate: 1.855E-04 | global batch size: 512 | lm loss: 6.915280E+00 | grad norm: 0.863 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.746 | TFLOPs: 41.54 | 31: iteration 6500/ 33899 | consumed samples: 3328000 | consumed tokens: 6815744000 | elapsed time per iteration (s): 1.79 | learning rate: 1.854E-04 | global batch size: 512 | lm loss: 6.664541E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.258 | TFLOPs: 42.82 | 31: iteration 6510/ 33899 | consumed samples: 3333120 | consumed tokens: 6826229760 | elapsed time per iteration (s): 1.85 | learning rate: 1.854E-04 | global batch size: 512 | lm loss: 6.442417E+00 | grad norm: 1.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.985 | TFLOPs: 41.57 | 31: iteration 6520/ 33899 | consumed samples: 3338240 | consumed tokens: 6836715520 | elapsed time per iteration (s): 1.88 | learning rate: 1.854E-04 | global batch size: 512 | lm loss: 6.203802E+00 | grad norm: 0.977 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.250 | TFLOPs: 40.86 | 31: iteration 6530/ 33899 | consumed samples: 3343360 | consumed tokens: 6847201280 | elapsed time per iteration (s): 1.93 | learning rate: 1.853E-04 | global batch size: 512 | lm loss: 5.984508E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.783 | TFLOPs: 39.89 | 31: iteration 6540/ 33899 | consumed samples: 3348480 | consumed tokens: 6857687040 | elapsed time per iteration (s): 1.91 | learning rate: 1.853E-04 | global batch size: 512 | lm loss: 5.889635E+00 | grad norm: 0.906 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.077 | TFLOPs: 40.24 | 31: iteration 6550/ 33899 | consumed samples: 3353600 | consumed tokens: 6868172800 | elapsed time per iteration (s): 3.94 | learning rate: 1.852E-04 | global batch size: 512 | lm loss: 5.752882E+00 | grad norm: 0.707 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 129.903 | TFLOPs: 19.50 | 31: iteration 6560/ 33899 | consumed samples: 3358720 | consumed tokens: 6878658560 | elapsed time per iteration (s): 1.88 | learning rate: 1.852E-04 | global batch size: 512 | lm loss: 5.604517E+00 | grad norm: 0.616 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.734 | TFLOPs: 40.94 | 31: iteration 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278.149 | TFLOPs: 41.75 | 31: iteration 6600/ 33899 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 1.82 | learning rate: 1.850E-04 | global batch size: 512 | lm loss: 5.024341E+00 | grad norm: 1.563 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.150 | TFLOPs: 42.20 | 31: iteration 6610/ 33899 | consumed samples: 3384320 | consumed tokens: 6931087360 | elapsed time per iteration (s): 1.85 | learning rate: 1.849E-04 | global batch size: 512 | lm loss: 4.816801E+00 | grad norm: 0.927 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.156 | TFLOPs: 41.60 | 31: iteration 6620/ 33899 | consumed samples: 3389440 | consumed tokens: 6941573120 | elapsed time per iteration (s): 1.82 | learning rate: 1.849E-04 | global batch size: 512 | lm loss: 4.229502E+00 | grad norm: 1.792 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.630 | TFLOPs: 42.27 | 31: iteration 6630/ 33899 | consumed samples: 3394560 | consumed tokens: 6952058880 | elapsed time per iteration (s): 1.86 | learning rate: 1.848E-04 | global batch size: 512 | lm loss: 3.745714E+00 | grad norm: 1.049 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.734 | TFLOPs: 41.24 | 31: iteration 6640/ 33899 | consumed samples: 3399680 | consumed tokens: 6962544640 | elapsed time per iteration (s): 1.84 | learning rate: 1.848E-04 | global batch size: 512 | lm loss: 3.357602E+00 | grad norm: 0.619 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.725 | TFLOPs: 41.69 | 31: iteration 6650/ 33899 | consumed samples: 3404800 | consumed tokens: 6973030400 | elapsed time per iteration (s): 1.84 | learning rate: 1.847E-04 | global batch size: 512 | lm loss: 3.014323E+00 | grad norm: 1.790 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.618 | TFLOPs: 41.67 | 31: iteration 6660/ 33899 | consumed samples: 3409920 | consumed tokens: 6983516160 | elapsed time per iteration (s): 1.84 | learning rate: 1.847E-04 | global batch size: 512 | lm loss: 2.803407E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.244 | TFLOPs: 41.76 | 31: iteration 6670/ 33899 | consumed samples: 3415040 | consumed tokens: 6994001920 | elapsed time per iteration (s): 1.87 | learning rate: 1.847E-04 | global batch size: 512 | lm loss: 2.622305E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.023 | TFLOPs: 41.13 | 31: iteration 6680/ 33899 | consumed samples: 3420160 | consumed tokens: 7004487680 | elapsed time per iteration (s): 1.89 | learning rate: 1.846E-04 | global batch size: 512 | lm loss: 2.509292E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.178 | TFLOPs: 40.70 | 31: iteration 6690/ 33899 | consumed samples: 3425280 | consumed tokens: 7014973440 | elapsed time per iteration (s): 1.85 | learning rate: 1.846E-04 | global batch size: 512 | lm loss: 2.447999E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.740 | TFLOPs: 41.54 | 31: iteration 6700/ 33899 | consumed samples: 3430400 | consumed tokens: 7025459200 | elapsed time per iteration (s): 1.78 | learning rate: 1.845E-04 | global batch size: 512 | lm loss: 2.410630E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.004 | TFLOPs: 43.23 | 31: iteration 6710/ 33899 | consumed samples: 3435520 | consumed tokens: 7035944960 | elapsed time per iteration (s): 1.86 | learning rate: 1.845E-04 | global batch size: 512 | lm loss: 2.411203E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.363 | TFLOPs: 41.33 | 31: iteration 6720/ 33899 | consumed samples: 3440640 | consumed tokens: 7046430720 | elapsed time per iteration (s): 1.87 | learning rate: 1.844E-04 | global batch size: 512 | lm loss: 2.349931E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.883 | TFLOPs: 41.11 | 31: iteration 6730/ 33899 | consumed samples: 3445760 | consumed tokens: 7056916480 | elapsed time per iteration (s): 1.91 | learning rate: 1.844E-04 | global batch size: 512 | lm loss: 2.361219E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.388 | TFLOPs: 40.28 | 31: iteration 6740/ 33899 | consumed samples: 3450880 | consumed tokens: 7067402240 | elapsed time per iteration (s): 1.76 | learning rate: 1.843E-04 | global batch size: 512 | lm loss: 2.316661E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.173 | TFLOPs: 43.55 | 31: iteration 6750/ 33899 | consumed samples: 3456000 | consumed tokens: 7077888000 | elapsed time per iteration (s): 1.77 | learning rate: 1.843E-04 | global batch size: 512 | lm loss: 2.305492E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.937 | TFLOPs: 43.52 | 31: iteration 6760/ 33899 | consumed samples: 3461120 | consumed tokens: 7088373760 | elapsed time per iteration (s): 1.81 | learning rate: 1.842E-04 | global batch size: 512 | lm loss: 2.337350E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.152 | TFLOPs: 42.35 | 31: iteration 6770/ 33899 | consumed samples: 3466240 | consumed tokens: 7098859520 | elapsed time per iteration (s): 1.89 | learning rate: 1.842E-04 | global batch size: 512 | lm loss: 2.318588E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.520 | TFLOPs: 40.60 | 31: iteration 6780/ 33899 | consumed samples: 3471360 | consumed tokens: 7109345280 | elapsed time per iteration (s): 1.82 | learning rate: 1.841E-04 | global batch size: 512 | lm loss: 2.306927E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.197 | TFLOPs: 42.21 | 31: iteration 6790/ 33899 | consumed samples: 3476480 | consumed tokens: 7119831040 | elapsed time per iteration (s): 1.87 | learning rate: 1.841E-04 | global batch size: 512 | lm loss: 2.309890E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.584 | TFLOPs: 41.06 | 31: iteration 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per iteration (s): 1.76 | learning rate: 1.832E-04 | global batch size: 512 | lm loss: 2.276867E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.352 | TFLOPs: 43.58 | 31: iteration 6980/ 33899 | consumed samples: 3573760 | consumed tokens: 7319060480 | elapsed time per iteration (s): 1.84 | learning rate: 1.832E-04 | global batch size: 512 | lm loss: 2.273861E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.287 | TFLOPs: 41.77 | 31: iteration 6990/ 33899 | consumed samples: 3578880 | consumed tokens: 7329546240 | elapsed time per iteration (s): 1.79 | learning rate: 1.831E-04 | global batch size: 512 | lm loss: 2.259465E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.817 | TFLOPs: 42.90 | 31: iteration 7000/ 33899 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 1.83 | learning rate: 1.831E-04 | global batch size: 512 | lm loss: 2.237793E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.258 | TFLOPs: 42.07 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 7000 | lm loss value: 2.212147E+00 | lm loss PPL: 9.135309E+00 | 31: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 7000 to checkpoints_2b8 0: [2022-11-25 22:27:55,649] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2022-11-25 22:27:55,754] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step7000/layer_01-model_00-model_states.pt... 0: [2022-11-25 22:27:56,040] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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28: [2022-11-25 22:28:02,049] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2022-11-25 22:28:02,050] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step7000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 3: [2022-11-25 22:28:02,051] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step7000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-25 22:28:02,051] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step7000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 0: [2022-11-25 22:28:02,051] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step7000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 3: [2022-11-25 22:28:02,051] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2022-11-25 22:28:02,051] [INFO] 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22:28:02,348] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step7000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 22:28:02,348] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 19: [2022-11-25 22:28:02,356] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step7000/bf16_zero_pp_rank_154_mp_rank_00_optim_states.pt. 19: [2022-11-25 22:28:02,356] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step7000/bf16_zero_pp_rank_154_mp_rank_00_optim_states.pt 19: [2022-11-25 22:28:02,356] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-25 22:28:02,358] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step7000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-25 22:28:02,358] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step7000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-25 22:28:02,358] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: successfully saved checkpoint at iteration 7000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 6718.03 31: iteration 7010/ 33899 | consumed samples: 3589120 | consumed tokens: 7350517760 | elapsed time per iteration (s): 2.59 | learning rate: 1.830E-04 | global batch size: 512 | lm loss: 2.285100E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 198.003 | TFLOPs: 29.72 | 31: iteration 7020/ 33899 | consumed samples: 3594240 | consumed tokens: 7361003520 | elapsed time per iteration (s): 1.84 | learning rate: 1.830E-04 | global batch size: 512 | lm loss: 2.265148E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.184 | TFLOPs: 41.75 | 31: iteration 7030/ 33899 | consumed samples: 3599360 | consumed tokens: 7371489280 | elapsed time per iteration (s): 1.92 | learning rate: 1.829E-04 | global batch size: 512 | lm loss: 2.241642E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.771 | TFLOPs: 40.04 | 31: iteration 7040/ 33899 | consumed samples: 3604480 | consumed tokens: 7381975040 | elapsed time per iteration (s): 1.84 | learning rate: 1.829E-04 | global batch size: 512 | lm loss: 2.248026E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.389 | TFLOPs: 41.78 | 31: iteration 7050/ 33899 | consumed samples: 3609600 | consumed tokens: 7392460800 | elapsed time per iteration (s): 1.80 | learning rate: 1.828E-04 | global batch size: 512 | lm loss: 2.248021E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.612 | TFLOPs: 42.72 | 31: iteration 7060/ 33899 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 1.84 | learning rate: 1.828E-04 | global batch size: 512 | lm loss: 2.263561E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.964 | TFLOPs: 41.72 | 31: iteration 7070/ 33899 | consumed samples: 3619840 | consumed tokens: 7413432320 | elapsed time per iteration (s): 1.83 | learning rate: 1.827E-04 | global batch size: 512 | lm loss: 2.258093E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.929 | TFLOPs: 42.02 | 31: iteration 7080/ 33899 | consumed samples: 3624960 | consumed tokens: 7423918080 | elapsed time per iteration (s): 1.89 | learning rate: 1.827E-04 | global batch size: 512 | lm loss: 2.280058E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.696 | TFLOPs: 40.63 | 31: iteration 7090/ 33899 | consumed samples: 3630080 | consumed tokens: 7434403840 | elapsed time per iteration (s): 1.82 | learning rate: 1.826E-04 | global batch size: 512 | lm loss: 2.269274E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.449 | TFLOPs: 42.24 | 31: iteration 7100/ 33899 | consumed samples: 3635200 | consumed tokens: 7444889600 | elapsed time per iteration (s): 2.20 | learning rate: 1.826E-04 | global batch size: 512 | lm loss: 2.254424E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 233.089 | TFLOPs: 34.99 | 31: iteration 7110/ 33899 | consumed samples: 3640320 | consumed tokens: 7455375360 | elapsed time per iteration (s): 1.83 | learning rate: 1.825E-04 | global batch size: 512 | lm loss: 2.248647E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.092 | TFLOPs: 41.89 | 31: iteration 7120/ 33899 | consumed samples: 3645440 | consumed tokens: 7465861120 | elapsed time per iteration (s): 1.81 | learning rate: 1.825E-04 | global batch size: 512 | lm loss: 2.255139E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.704 | TFLOPs: 42.43 | 31: iteration 7130/ 33899 | consumed samples: 3650560 | consumed tokens: 7476346880 | elapsed time per iteration (s): 1.92 | learning rate: 1.824E-04 | global batch size: 512 | lm loss: 2.267974E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.963 | TFLOPs: 40.07 | 31: iteration 7140/ 33899 | consumed samples: 3655680 | consumed tokens: 7486832640 | elapsed time per iteration (s): 1.82 | learning rate: 1.824E-04 | global batch size: 512 | lm loss: 2.239156E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.672 | TFLOPs: 42.13 | 31: iteration 7150/ 33899 | consumed samples: 3660800 | consumed tokens: 7497318400 | elapsed time per iteration (s): 1.95 | learning rate: 1.823E-04 | global batch size: 512 | lm loss: 2.235015E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.068 | TFLOPs: 39.33 | 31: iteration 7160/ 33899 | consumed samples: 3665920 | consumed tokens: 7507804160 | elapsed time per iteration (s): 1.84 | learning rate: 1.823E-04 | global batch size: 512 | lm loss: 2.213616E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.435 | TFLOPs: 41.79 | 31: iteration 7170/ 33899 | consumed samples: 3671040 | consumed tokens: 7518289920 | elapsed time per iteration (s): 1.80 | learning rate: 1.822E-04 | global batch size: 512 | lm loss: 2.238513E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.566 | TFLOPs: 42.71 | 31: iteration 7180/ 33899 | consumed samples: 3676160 | consumed tokens: 7528775680 | elapsed time per iteration (s): 1.75 | learning rate: 1.822E-04 | global batch size: 512 | lm loss: 2.273775E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 292.819 | TFLOPs: 43.95 | 31: iteration 7190/ 33899 | consumed samples: 3681280 | consumed tokens: 7539261440 | elapsed time per iteration (s): 1.83 | learning rate: 1.821E-04 | global batch size: 512 | lm loss: 2.253219E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.520 | TFLOPs: 41.95 | 31: iteration 7200/ 33899 | consumed samples: 3686400 | consumed tokens: 7549747200 | elapsed time per iteration (s): 1.82 | learning rate: 1.821E-04 | global batch size: 512 | lm loss: 2.233493E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.166 | TFLOPs: 42.20 | 31: iteration 7210/ 33899 | consumed samples: 3691520 | consumed tokens: 7560232960 | elapsed time per iteration (s): 1.80 | learning rate: 1.820E-04 | global batch size: 512 | lm loss: 2.223213E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.246 | TFLOPs: 42.66 | 31: iteration 7220/ 33899 | consumed samples: 3696640 | consumed tokens: 7570718720 | elapsed time per iteration (s): 1.79 | learning rate: 1.820E-04 | global batch size: 512 | lm loss: 2.230104E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.483 | TFLOPs: 42.85 | 31: iteration 7230/ 33899 | consumed samples: 3701760 | consumed tokens: 7581204480 | elapsed time per iteration (s): 1.82 | learning rate: 1.819E-04 | global batch size: 512 | lm loss: 2.242716E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.241 | TFLOPs: 42.21 | 31: iteration 7240/ 33899 | consumed samples: 3706880 | consumed tokens: 7591690240 | elapsed time per iteration (s): 1.83 | learning rate: 1.819E-04 | global batch size: 512 | lm loss: 2.241832E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.963 | TFLOPs: 42.02 | 31: iteration 7250/ 33899 | consumed samples: 3712000 | consumed tokens: 7602176000 | elapsed time per iteration (s): 1.99 | learning rate: 1.818E-04 | global batch size: 512 | lm loss: 2.230142E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 256.833 | TFLOPs: 38.55 | 31: iteration 7260/ 33899 | consumed samples: 3717120 | consumed tokens: 7612661760 | elapsed time per iteration (s): 1.87 | learning rate: 1.818E-04 | global batch size: 512 | lm loss: 2.273677E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.485 | TFLOPs: 41.20 | 31: iteration 7270/ 33899 | consumed samples: 3722240 | consumed tokens: 7623147520 | elapsed time per iteration (s): 1.92 | learning rate: 1.817E-04 | global batch size: 512 | lm loss: 2.241764E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.286 | TFLOPs: 40.12 | 31: iteration 7280/ 33899 | consumed samples: 3727360 | consumed tokens: 7633633280 | elapsed time per iteration (s): 1.84 | learning rate: 1.817E-04 | global batch size: 512 | lm loss: 2.222714E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.688 | TFLOPs: 41.68 | 31: iteration 7290/ 33899 | consumed samples: 3732480 | consumed tokens: 7644119040 | elapsed time per iteration (s): 1.83 | learning rate: 1.816E-04 | global batch size: 512 | lm loss: 2.221760E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.188 | TFLOPs: 42.05 | 31: iteration 7300/ 33899 | consumed samples: 3737600 | consumed tokens: 7654604800 | elapsed time per iteration (s): 1.83 | learning rate: 1.816E-04 | global batch size: 512 | lm loss: 2.255400E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.230 | TFLOPs: 42.06 | 31: iteration 7310/ 33899 | consumed samples: 3742720 | consumed tokens: 7665090560 | elapsed time per iteration (s): 1.88 | learning rate: 1.815E-04 | global batch size: 512 | lm loss: 2.247382E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.983 | TFLOPs: 40.82 | 31: iteration 7320/ 33899 | consumed samples: 3747840 | consumed tokens: 7675576320 | elapsed time per iteration (s): 1.82 | learning rate: 1.815E-04 | global batch size: 512 | lm loss: 2.217661E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.058 | TFLOPs: 42.19 | 31: iteration 7330/ 33899 | consumed samples: 3752960 | consumed tokens: 7686062080 | elapsed time per iteration (s): 1.80 | learning rate: 1.814E-04 | global batch size: 512 | lm loss: 2.229217E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.999 | TFLOPs: 42.78 | 31: iteration 7340/ 33899 | consumed samples: 3758080 | consumed tokens: 7696547840 | elapsed time per iteration (s): 1.81 | learning rate: 1.814E-04 | global batch size: 512 | lm loss: 2.238993E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.232 | TFLOPs: 42.36 | 31: iteration 7350/ 33899 | consumed samples: 3763200 | consumed tokens: 7707033600 | elapsed time per iteration (s): 1.81 | learning rate: 1.813E-04 | global batch size: 512 | lm loss: 2.236909E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.440 | TFLOPs: 42.54 | 31: iteration 7360/ 33899 | consumed samples: 3768320 | consumed tokens: 7717519360 | elapsed time per iteration (s): 1.89 | learning rate: 1.813E-04 | global batch size: 512 | lm loss: 2.232574E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.597 | TFLOPs: 40.77 | 31: iteration 7370/ 33899 | consumed samples: 3773440 | consumed tokens: 7728005120 | elapsed time per iteration (s): 1.93 | learning rate: 1.812E-04 | global batch size: 512 | lm loss: 2.239226E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.532 | TFLOPs: 39.85 | 31: iteration 7380/ 33899 | consumed samples: 3778560 | consumed tokens: 7738490880 | elapsed time per iteration (s): 1.82 | learning rate: 1.811E-04 | global batch size: 512 | lm loss: 2.228829E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.545 | TFLOPs: 42.26 | 31: iteration 7390/ 33899 | consumed samples: 3783680 | consumed tokens: 7748976640 | elapsed time per iteration (s): 1.93 | learning rate: 1.811E-04 | global batch size: 512 | lm loss: 2.240718E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.625 | TFLOPs: 39.72 | 31: iteration 7400/ 33899 | consumed samples: 3788800 | consumed tokens: 7759462400 | elapsed time per iteration (s): 1.91 | learning rate: 1.810E-04 | global batch size: 512 | lm loss: 2.234750E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.011 | TFLOPs: 40.23 | 31: iteration 7410/ 33899 | consumed samples: 3793920 | consumed tokens: 7769948160 | elapsed time per iteration (s): 1.84 | learning rate: 1.810E-04 | global batch size: 512 | lm loss: 2.235669E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.539 | TFLOPs: 41.81 | 31: iteration 7420/ 33899 | consumed samples: 3799040 | consumed tokens: 7780433920 | elapsed time per iteration (s): 1.90 | learning rate: 1.809E-04 | global batch size: 512 | lm loss: 2.229214E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.350 | TFLOPs: 40.43 | 31: iteration 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2.235209E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.904 | TFLOPs: 42.31 | 31: iteration 7780/ 33899 | consumed samples: 3983360 | consumed tokens: 8157921280 | elapsed time per iteration (s): 1.93 | learning rate: 1.790E-04 | global batch size: 512 | lm loss: 2.210683E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.476 | TFLOPs: 39.85 | 31: iteration 7790/ 33899 | consumed samples: 3988480 | consumed tokens: 8168407040 | elapsed time per iteration (s): 1.88 | learning rate: 1.790E-04 | global batch size: 512 | lm loss: 2.215058E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.918 | TFLOPs: 40.96 | 31: iteration 7800/ 33899 | consumed samples: 3993600 | consumed tokens: 8178892800 | elapsed time per iteration (s): 1.88 | learning rate: 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per iteration (s): 1.87 | learning rate: 1.788E-04 | global batch size: 512 | lm loss: 2.223391E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.629 | TFLOPs: 41.07 | 31: iteration 7840/ 33899 | consumed samples: 4014080 | consumed tokens: 8220835840 | elapsed time per iteration (s): 1.86 | learning rate: 1.787E-04 | global batch size: 512 | lm loss: 2.210003E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.595 | TFLOPs: 41.37 | 31: iteration 7850/ 33899 | consumed samples: 4019200 | consumed tokens: 8231321600 | elapsed time per iteration (s): 1.80 | learning rate: 1.787E-04 | global batch size: 512 | lm loss: 2.231024E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.539 | TFLOPs: 42.71 | 31: iteration 7860/ 33899 | consumed samples: 4024320 | 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nan iterations: 0 | samples per second: 265.403 | TFLOPs: 39.84 | 31: iteration 7950/ 33899 | consumed samples: 4070400 | consumed tokens: 8336179200 | elapsed time per iteration (s): 1.84 | learning rate: 1.781E-04 | global batch size: 512 | lm loss: 2.217620E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.533 | TFLOPs: 41.66 | 31: iteration 7960/ 33899 | consumed samples: 4075520 | consumed tokens: 8346664960 | elapsed time per iteration (s): 1.80 | learning rate: 1.781E-04 | global batch size: 512 | lm loss: 2.201795E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.524 | TFLOPs: 42.71 | 31: iteration 7970/ 33899 | consumed samples: 4080640 | consumed tokens: 8357150720 | elapsed time per iteration (s): 1.86 | learning rate: 1.780E-04 | global batch size: 512 | lm loss: 2.208332E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.726 | TFLOPs: 41.23 | 31: iteration 7980/ 33899 | consumed samples: 4085760 | consumed tokens: 8367636480 | elapsed time per iteration (s): 1.79 | learning rate: 1.779E-04 | global batch size: 512 | lm loss: 2.211091E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.283 | TFLOPs: 42.82 | 31: iteration 7990/ 33899 | consumed samples: 4090880 | consumed tokens: 8378122240 | elapsed time per iteration (s): 1.84 | learning rate: 1.779E-04 | global batch size: 512 | lm loss: 2.224645E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.895 | TFLOPs: 41.71 | 0: [2022-11-25 22:59:02,793] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[0.00017783163476101769, 0.00017783163476101769, 0.00017783163476101769], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 8000/ 33899 | consumed samples: 4096000 | consumed tokens: 8388608000 | elapsed time per iteration (s): 1.85 | learning rate: 1.778E-04 | global batch size: 512 | lm loss: 2.218859E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.728 | TFLOPs: 41.54 | 0: steps: 8000 loss: 2.2648 iter time (s): 1.860 samples/sec: 275.321 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 8000 | lm loss value: 2.163054E+00 | lm loss PPL: 8.697664E+00 | 31: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 8000 to checkpoints_2b8 0: [2022-11-25 22:59:03,646] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save! 0: [2022-11-25 22:59:03,658] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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iterations: 0 | samples per second: 268.948 | TFLOPs: 40.37 | 31: iteration 8060/ 33899 | consumed samples: 4126720 | consumed tokens: 8451522560 | elapsed time per iteration (s): 1.86 | learning rate: 1.775E-04 | global batch size: 512 | lm loss: 2.225968E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.502 | TFLOPs: 41.35 | 31: iteration 8070/ 33899 | consumed samples: 4131840 | consumed tokens: 8462008320 | elapsed time per iteration (s): 1.78 | learning rate: 1.774E-04 | global batch size: 512 | lm loss: 2.189227E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.847 | TFLOPs: 43.20 | 31: iteration 8080/ 33899 | consumed samples: 4136960 | consumed tokens: 8472494080 | elapsed time per iteration (s): 1.90 | learning rate: 1.774E-04 | global batch size: 512 | lm loss: 2.210828E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.951 | TFLOPs: 40.52 | 31: iteration 8090/ 33899 | consumed samples: 4142080 | consumed tokens: 8482979840 | elapsed time per iteration (s): 1.88 | learning rate: 1.773E-04 | global batch size: 512 | lm loss: 2.207912E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.032 | TFLOPs: 40.98 | 31: iteration 8100/ 33899 | consumed samples: 4147200 | consumed tokens: 8493465600 | elapsed time per iteration (s): 1.83 | learning rate: 1.773E-04 | global batch size: 512 | lm loss: 2.193752E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.467 | TFLOPs: 42.10 | 31: iteration 8110/ 33899 | consumed samples: 4152320 | consumed tokens: 8503951360 | elapsed time per iteration (s): 1.86 | learning rate: 1.772E-04 | global batch size: 512 | lm loss: 2.193737E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.904 | TFLOPs: 41.41 | 31: iteration 8120/ 33899 | consumed samples: 4157440 | consumed tokens: 8514437120 | elapsed time per iteration (s): 1.87 | learning rate: 1.772E-04 | global batch size: 512 | lm loss: 2.195040E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.989 | TFLOPs: 41.12 | 31: iteration 8130/ 33899 | consumed samples: 4162560 | consumed tokens: 8524922880 | elapsed time per iteration (s): 1.92 | learning rate: 1.771E-04 | global batch size: 512 | lm loss: 2.203898E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.260 | TFLOPs: 40.11 | 31: iteration 8140/ 33899 | consumed samples: 4167680 | consumed tokens: 8535408640 | elapsed time per iteration (s): 3.36 | learning rate: 1.771E-04 | global 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1.90 | learning rate: 1.769E-04 | global batch size: 512 | lm loss: 2.200641E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.042 | TFLOPs: 40.53 | 31: iteration 8180/ 33899 | consumed samples: 4188160 | consumed tokens: 8577351680 | elapsed time per iteration (s): 1.90 | learning rate: 1.768E-04 | global batch size: 512 | lm loss: 2.206355E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.003 | TFLOPs: 40.53 | 31: iteration 8190/ 33899 | consumed samples: 4193280 | consumed tokens: 8587837440 | elapsed time per iteration (s): 1.85 | learning rate: 1.768E-04 | global batch size: 512 | lm loss: 2.221905E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.226 | TFLOPs: 41.46 | 31: iteration 8200/ 33899 | consumed samples: 4198400 | consumed tokens: 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TFLOPs: 42.39 | 31: iteration 8260/ 33899 | consumed samples: 4229120 | consumed tokens: 8661237760 | elapsed time per iteration (s): 1.86 | learning rate: 1.764E-04 | global batch size: 512 | lm loss: 2.204055E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.600 | TFLOPs: 41.37 | 31: iteration 8270/ 33899 | consumed samples: 4234240 | consumed tokens: 8671723520 | elapsed time per iteration (s): 1.89 | learning rate: 1.763E-04 | global batch size: 512 | lm loss: 2.201107E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.649 | TFLOPs: 40.62 | 31: iteration 8280/ 33899 | consumed samples: 4239360 | consumed tokens: 8682209280 | elapsed time per iteration (s): 1.86 | learning rate: 1.763E-04 | global batch size: 512 | lm loss: 2.196668E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.077 | TFLOPs: 41.29 | 31: iteration 8290/ 33899 | consumed samples: 4244480 | consumed tokens: 8692695040 | elapsed time per iteration (s): 1.87 | learning rate: 1.762E-04 | global batch size: 512 | lm loss: 2.199604E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.108 | TFLOPs: 41.14 | 31: iteration 8300/ 33899 | consumed samples: 4249600 | consumed tokens: 8703180800 | elapsed time per iteration (s): 1.82 | learning rate: 1.761E-04 | global batch size: 512 | lm loss: 2.193133E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.603 | TFLOPs: 42.27 | 31: iteration 8310/ 33899 | consumed samples: 4254720 | consumed tokens: 8713666560 | elapsed time per iteration (s): 1.80 | learning rate: 1.761E-04 | global batch size: 512 | lm loss: 2.212591E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.685 | TFLOPs: 42.73 | 31: iteration 8320/ 33899 | consumed samples: 4259840 | consumed tokens: 8724152320 | elapsed time per iteration (s): 1.78 | learning rate: 1.760E-04 | global batch size: 512 | lm loss: 2.202383E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.295 | TFLOPs: 43.27 | 31: iteration 8330/ 33899 | consumed samples: 4264960 | consumed tokens: 8734638080 | elapsed time per iteration (s): 1.77 | learning rate: 1.760E-04 | global batch size: 512 | lm loss: 2.193211E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.478 | TFLOPs: 43.30 | 31: iteration 8340/ 33899 | consumed samples: 4270080 | consumed tokens: 8745123840 | elapsed time per iteration (s): 1.81 | learning rate: 1.759E-04 | global batch size: 512 | lm loss: 2.194858E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.432 | TFLOPs: 42.54 | 31: iteration 8350/ 33899 | consumed samples: 4275200 | consumed tokens: 8755609600 | elapsed time per iteration (s): 1.82 | learning rate: 1.759E-04 | global batch size: 512 | lm loss: 2.193645E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.987 | TFLOPs: 42.17 | 31: iteration 8360/ 33899 | consumed samples: 4280320 | consumed tokens: 8766095360 | elapsed time per iteration (s): 1.78 | learning rate: 1.758E-04 | global batch size: 512 | lm loss: 2.179306E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.200 | TFLOPs: 43.11 | 31: iteration 8370/ 33899 | consumed samples: 4285440 | consumed tokens: 8776581120 | elapsed time per iteration (s): 1.84 | learning rate: 1.757E-04 | global batch size: 512 | lm loss: 2.217449E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.834 | TFLOPs: 41.70 | 31: iteration 8380/ 33899 | consumed samples: 4290560 | consumed tokens: 8787066880 | elapsed time per iteration (s): 1.84 | learning rate: 1.757E-04 | global batch size: 512 | lm loss: 2.205539E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.009 | TFLOPs: 41.73 | 31: iteration 8390/ 33899 | consumed samples: 4295680 | consumed tokens: 8797552640 | elapsed time per iteration (s): 1.87 | learning rate: 1.756E-04 | global batch size: 512 | lm loss: 2.189161E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.699 | TFLOPs: 41.08 | 31: iteration 8400/ 33899 | consumed samples: 4300800 | consumed tokens: 8808038400 | elapsed time per iteration (s): 1.81 | learning rate: 1.756E-04 | global batch size: 512 | lm loss: 2.186016E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.327 | TFLOPs: 42.38 | 31: iteration 8410/ 33899 | consumed samples: 4305920 | consumed tokens: 8818524160 | elapsed time per iteration (s): 1.89 | learning rate: 1.755E-04 | global batch size: 512 | lm loss: 2.173869E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.555 | TFLOPs: 40.61 | 31: iteration 8420/ 33899 | consumed samples: 4311040 | consumed tokens: 8829009920 | elapsed time per iteration (s): 1.83 | learning rate: 1.755E-04 | global batch size: 512 | lm loss: 2.183724E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.409 | TFLOPs: 42.09 | 31: iteration 8430/ 33899 | consumed samples: 4316160 | consumed tokens: 8839495680 | elapsed time per iteration (s): 1.85 | learning rate: 1.754E-04 | global batch size: 512 | lm loss: 2.198456E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.211 | TFLOPs: 41.61 | 31: iteration 8440/ 33899 | consumed samples: 4321280 | consumed tokens: 8849981440 | elapsed time per iteration (s): 1.86 | learning rate: 1.753E-04 | global batch size: 512 | lm loss: 2.191831E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.100 | TFLOPs: 41.29 | 31: iteration 8450/ 33899 | consumed samples: 4326400 | consumed tokens: 8860467200 | elapsed time per iteration (s): 1.86 | learning rate: 1.753E-04 | global batch size: 512 | lm loss: 2.194844E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.005 | TFLOPs: 41.43 | 31: iteration 8460/ 33899 | consumed samples: 4331520 | consumed tokens: 8870952960 | elapsed time per iteration (s): 1.83 | learning rate: 1.752E-04 | global batch size: 512 | lm loss: 2.173507E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.390 | TFLOPs: 41.93 | 31: iteration 8470/ 33899 | consumed samples: 4336640 | consumed tokens: 8881438720 | elapsed time per iteration (s): 1.93 | learning rate: 1.752E-04 | global batch size: 512 | lm loss: 2.184580E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.601 | TFLOPs: 39.72 | 31: iteration 8480/ 33899 | consumed samples: 4341760 | consumed tokens: 8891924480 | elapsed time per iteration (s): 1.84 | learning rate: 1.751E-04 | global batch size: 512 | lm loss: 2.180941E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.837 | TFLOPs: 41.70 | 31: iteration 8490/ 33899 | consumed samples: 4346880 | consumed tokens: 8902410240 | elapsed time per iteration (s): 1.84 | learning rate: 1.750E-04 | global batch size: 512 | lm loss: 2.203405E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.721 | TFLOPs: 41.68 | 31: iteration 8500/ 33899 | consumed samples: 4352000 | consumed tokens: 8912896000 | elapsed time per iteration (s): 1.81 | learning rate: 1.750E-04 | global batch size: 512 | lm loss: 2.206587E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.526 | TFLOPs: 42.41 | 31: iteration 8510/ 33899 | consumed samples: 4357120 | consumed tokens: 8923381760 | elapsed time per iteration (s): 1.87 | learning rate: 1.749E-04 | global batch size: 512 | lm loss: 2.205882E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.387 | TFLOPs: 41.18 | 31: iteration 8520/ 33899 | consumed samples: 4362240 | consumed tokens: 8933867520 | elapsed time per iteration (s): 1.84 | learning rate: 1.749E-04 | global batch size: 512 | lm loss: 2.208535E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.781 | TFLOPs: 41.84 | 31: iteration 8530/ 33899 | consumed samples: 4367360 | consumed tokens: 8944353280 | elapsed time per iteration (s): 1.86 | learning rate: 1.748E-04 | global batch size: 512 | lm loss: 2.178962E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.872 | TFLOPs: 41.41 | 31: iteration 8540/ 33899 | consumed samples: 4372480 | consumed tokens: 8954839040 | elapsed time per iteration (s): 1.83 | learning rate: 1.748E-04 | global batch size: 512 | lm loss: 2.196825E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.565 | TFLOPs: 41.96 | 31: iteration 8550/ 33899 | consumed samples: 4377600 | consumed tokens: 8965324800 | elapsed time per iteration (s): 1.79 | learning rate: 1.747E-04 | global batch size: 512 | lm loss: 2.193384E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.874 | TFLOPs: 42.91 | 31: iteration 8560/ 33899 | consumed samples: 4382720 | consumed tokens: 8975810560 | elapsed time per iteration (s): 1.87 | learning rate: 1.746E-04 | global batch size: 512 | lm loss: 2.203361E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.522 | TFLOPs: 41.20 | 31: iteration 8570/ 33899 | consumed samples: 4387840 | consumed tokens: 8986296320 | elapsed time per iteration (s): 1.81 | learning rate: 1.746E-04 | global batch size: 512 | lm loss: 2.181674E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.690 | TFLOPs: 42.43 | 31: iteration 8580/ 33899 | consumed samples: 4392960 | consumed tokens: 8996782080 | elapsed time per iteration (s): 1.85 | learning rate: 1.745E-04 | global batch size: 512 | lm loss: 3.036715E+00 | grad norm: 7.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.258 | TFLOPs: 41.61 | 31: iteration 8590/ 33899 | consumed samples: 4398080 | consumed tokens: 9007267840 | elapsed time per iteration (s): 1.88 | learning rate: 1.745E-04 | global batch size: 512 | lm loss: 7.212498E+00 | grad norm: 3.610 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.719 | TFLOPs: 40.93 | 31: iteration 8600/ 33899 | consumed samples: 4403200 | consumed tokens: 9017753600 | elapsed time per iteration (s): 1.81 | learning rate: 1.744E-04 | global batch size: 512 | lm loss: 6.545473E+00 | grad norm: 2.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.244 | TFLOPs: 42.51 | 31: iteration 8610/ 33899 | consumed samples: 4408320 | consumed tokens: 9028239360 | elapsed time per iteration (s): 1.92 | learning rate: 1.743E-04 | global batch size: 512 | lm loss: 5.654456E+00 | grad norm: 1.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.006 | TFLOPs: 40.08 | 31: iteration 8620/ 33899 | consumed samples: 4413440 | consumed tokens: 9038725120 | elapsed time per iteration (s): 1.88 | learning rate: 1.743E-04 | global batch size: 512 | lm loss: 4.608638E+00 | grad norm: 1.925 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.734 | TFLOPs: 40.94 | 31: iteration 8630/ 33899 | consumed samples: 4418560 | consumed tokens: 9049210880 | elapsed time per iteration (s): 1.82 | learning rate: 1.742E-04 | global batch size: 512 | lm loss: 3.495174E+00 | grad norm: 1.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.606 | TFLOPs: 42.27 | 31: iteration 8640/ 33899 | consumed samples: 4423680 | consumed tokens: 9059696640 | elapsed time per iteration (s): 1.90 | learning rate: 1.742E-04 | global batch size: 512 | lm loss: 3.021847E+00 | grad norm: 0.936 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.156 | TFLOPs: 40.55 | 31: iteration 8650/ 33899 | consumed samples: 4428800 | consumed tokens: 9070182400 | elapsed time per iteration (s): 1.92 | learning rate: 1.741E-04 | global batch size: 512 | lm loss: 2.669839E+00 | grad norm: 0.687 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.078 | TFLOPs: 40.09 | 31: iteration 8660/ 33899 | consumed samples: 4433920 | consumed tokens: 9080668160 | elapsed time per iteration (s): 1.82 | learning rate: 1.741E-04 | global batch size: 512 | lm loss: 2.472247E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.790 | TFLOPs: 42.30 | 31: iteration 8670/ 33899 | consumed samples: 4439040 | consumed tokens: 9091153920 | elapsed time per iteration (s): 1.86 | learning rate: 1.740E-04 | global batch size: 512 | lm loss: 2.387301E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.889 | TFLOPs: 41.26 | 31: iteration 8680/ 33899 | consumed samples: 4444160 | consumed tokens: 9101639680 | elapsed time per iteration (s): 1.92 | learning rate: 1.739E-04 | global batch size: 512 | lm loss: 2.297751E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.456 | TFLOPs: 39.99 | 31: iteration 8690/ 33899 | consumed samples: 4449280 | consumed tokens: 9112125440 | elapsed time per iteration (s): 1.80 | learning rate: 1.739E-04 | global batch size: 512 | lm loss: 2.282170E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.430 | TFLOPs: 42.69 | 31: iteration 8700/ 33899 | consumed samples: 4454400 | consumed tokens: 9122611200 | elapsed time per iteration (s): 1.94 | learning rate: 1.738E-04 | global batch size: 512 | lm loss: 2.288768E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.113 | TFLOPs: 39.64 | 31: iteration 8710/ 33899 | consumed samples: 4459520 | consumed tokens: 9133096960 | elapsed time per iteration (s): 1.88 | learning rate: 1.738E-04 | global batch size: 512 | lm loss: 2.253742E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.005 | TFLOPs: 40.98 | 31: iteration 8720/ 33899 | consumed samples: 4464640 | consumed tokens: 9143582720 | elapsed time per iteration (s): 1.84 | learning rate: 1.737E-04 | global batch size: 512 | lm loss: 2.249200E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.060 | TFLOPs: 41.74 | 31: iteration 8730/ 33899 | consumed samples: 4469760 | consumed tokens: 9154068480 | elapsed time per iteration (s): 1.86 | learning rate: 1.736E-04 | global batch size: 512 | lm loss: 2.256251E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.926 | TFLOPs: 41.26 | 31: iteration 8740/ 33899 | consumed samples: 4474880 | consumed tokens: 9164554240 | elapsed time per iteration (s): 1.91 | learning rate: 1.736E-04 | global batch size: 512 | lm loss: 2.222548E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.735 | TFLOPs: 40.34 | 31: iteration 8750/ 33899 | consumed samples: 4480000 | consumed tokens: 9175040000 | elapsed time per iteration (s): 1.79 | learning rate: 1.735E-04 | global batch size: 512 | lm loss: 2.233405E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.326 | TFLOPs: 42.98 | 31: iteration 8760/ 33899 | consumed samples: 4485120 | consumed tokens: 9185525760 | elapsed time per iteration (s): 1.82 | learning rate: 1.735E-04 | global batch size: 512 | lm loss: 2.220550E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.647 | TFLOPs: 42.12 | 31: iteration 8770/ 33899 | consumed samples: 4490240 | consumed tokens: 9196011520 | elapsed time per iteration (s): 1.83 | learning rate: 1.734E-04 | global batch size: 512 | lm loss: 2.258501E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.562 | TFLOPs: 41.96 | 31: iteration 8780/ 33899 | consumed samples: 4495360 | consumed tokens: 9206497280 | elapsed time per iteration (s): 1.79 | learning rate: 1.733E-04 | global batch size: 512 | lm loss: 2.220406E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.167 | TFLOPs: 42.95 | 31: iteration 8790/ 33899 | consumed samples: 4500480 | consumed tokens: 9216983040 | elapsed time per iteration (s): 1.85 | learning rate: 1.733E-04 | global batch size: 512 | lm loss: 2.220500E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.177 | TFLOPs: 41.45 | 31: iteration 8800/ 33899 | consumed samples: 4505600 | consumed tokens: 9227468800 | elapsed time per iteration (s): 1.79 | learning rate: 1.732E-04 | global batch size: 512 | lm loss: 2.219247E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.721 | TFLOPs: 42.89 | 31: iteration 8810/ 33899 | consumed samples: 4510720 | consumed tokens: 9237954560 | elapsed time per iteration (s): 1.79 | learning rate: 1.732E-04 | global batch size: 512 | lm loss: 2.226073E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.257 | TFLOPs: 42.97 | 31: iteration 8820/ 33899 | consumed samples: 4515840 | consumed tokens: 9248440320 | elapsed time per iteration (s): 1.83 | learning rate: 1.731E-04 | global batch size: 512 | lm loss: 2.199977E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.055 | TFLOPs: 41.88 | 31: iteration 8830/ 33899 | consumed samples: 4520960 | consumed tokens: 9258926080 | elapsed time per iteration (s): 1.80 | learning rate: 1.730E-04 | global batch size: 512 | lm loss: 2.223709E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.209 | TFLOPs: 42.66 | 31: iteration 8840/ 33899 | consumed samples: 4526080 | consumed tokens: 9269411840 | elapsed time per iteration (s): 1.80 | learning rate: 1.730E-04 | global batch size: 512 | lm loss: 2.191275E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.083 | TFLOPs: 42.79 | 31: iteration 8850/ 33899 | consumed samples: 4531200 | consumed tokens: 9279897600 | elapsed time per iteration (s): 1.81 | learning rate: 1.729E-04 | global batch size: 512 | lm loss: 2.226990E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.486 | TFLOPs: 42.55 | 31: iteration 8860/ 33899 | consumed samples: 4536320 | consumed tokens: 9290383360 | elapsed time per iteration (s): 1.87 | learning rate: 1.729E-04 | global batch size: 512 | lm loss: 2.208445E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.136 | TFLOPs: 41.00 | 31: iteration 8870/ 33899 | consumed samples: 4541440 | consumed tokens: 9300869120 | elapsed time per iteration (s): 1.91 | learning rate: 1.728E-04 | global batch size: 512 | lm loss: 2.188846E+00 | grad norm: 0.660 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.687 | TFLOPs: 40.33 | 31: iteration 8880/ 33899 | consumed samples: 4546560 | consumed tokens: 9311354880 | elapsed time per iteration (s): 1.96 | learning rate: 1.727E-04 | global batch size: 512 | lm loss: 2.242278E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 260.732 | TFLOPs: 39.13 | 31: iteration 8890/ 33899 | consumed samples: 4551680 | consumed tokens: 9321840640 | elapsed time per iteration (s): 1.88 | learning rate: 1.727E-04 | global batch size: 512 | lm loss: 2.230579E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.535 | TFLOPs: 40.91 | 31: iteration 8900/ 33899 | consumed samples: 4556800 | consumed tokens: 9332326400 | elapsed time per iteration (s): 1.85 | learning rate: 1.726E-04 | global batch size: 512 | lm loss: 2.204379E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.975 | TFLOPs: 41.57 | 31: iteration 8910/ 33899 | consumed samples: 4561920 | consumed tokens: 9342812160 | elapsed time per iteration (s): 1.89 | learning rate: 1.726E-04 | global batch size: 512 | lm loss: 2.210703E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.426 | TFLOPs: 40.59 | 31: iteration 8920/ 33899 | consumed samples: 4567040 | consumed tokens: 9353297920 | elapsed time per iteration (s): 2.00 | learning rate: 1.725E-04 | global batch size: 512 | lm loss: 2.208704E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 256.173 | TFLOPs: 38.45 | 31: iteration 8930/ 33899 | consumed samples: 4572160 | consumed tokens: 9363783680 | elapsed time per iteration (s): 1.83 | learning rate: 1.724E-04 | global batch size: 512 | lm loss: 2.194474E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.942 | TFLOPs: 42.02 | 31: iteration 8940/ 33899 | consumed samples: 4577280 | consumed tokens: 9374269440 | elapsed time per iteration (s): 2.00 | learning rate: 1.724E-04 | global batch size: 512 | lm loss: 2.211535E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 255.866 | TFLOPs: 38.40 | 31: iteration 8950/ 33899 | consumed samples: 4582400 | consumed tokens: 9384755200 | elapsed time per iteration (s): 1.88 | learning rate: 1.723E-04 | global batch size: 512 | lm loss: 2.211536E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.213 | TFLOPs: 40.86 | 31: iteration 8960/ 33899 | consumed samples: 4587520 | consumed tokens: 9395240960 | elapsed time per iteration (s): 1.84 | learning rate: 1.722E-04 | global batch size: 512 | lm loss: 2.174751E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.633 | TFLOPs: 41.82 | 31: iteration 8970/ 33899 | consumed samples: 4592640 | consumed tokens: 9405726720 | elapsed time per iteration (s): 1.88 | learning rate: 1.722E-04 | global batch size: 512 | lm loss: 2.207633E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.993 | TFLOPs: 40.97 | 31: iteration 8980/ 33899 | consumed samples: 4597760 | consumed tokens: 9416212480 | elapsed time per iteration (s): 1.98 | learning rate: 1.721E-04 | global batch size: 512 | lm loss: 2.197650E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 258.722 | TFLOPs: 38.83 | 31: iteration 8990/ 33899 | consumed samples: 4602880 | consumed tokens: 9426698240 | elapsed time per iteration (s): 1.86 | learning rate: 1.721E-04 | global batch size: 512 | lm loss: 2.203281E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.549 | TFLOPs: 41.36 | 31: iteration 9000/ 33899 | consumed samples: 4608000 | consumed tokens: 9437184000 | elapsed time per iteration (s): 1.97 | learning rate: 1.720E-04 | global batch size: 512 | lm loss: 2.198960E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.628 | TFLOPs: 38.97 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 9000 | lm loss value: 2.127781E+00 | lm loss PPL: 8.396218E+00 | 31: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 9000 to checkpoints_2b8 0: [2022-11-25 23:33:09,950] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step9000 is begin to save! 0: [2022-11-25 23:33:10,014] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step9000/layer_01-model_00-model_states.pt... 0: [2022-11-25 23:33:10,320] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step9000/layer_01-model_00-model_states.pt. 0: [2022-11-25 23:33:10,321] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_2b8/global_step9000/bf16_zero_pp_rank_169_mp_rank_00_optim_states.pt. 21: [2022-11-25 23:33:16,867] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step9000/bf16_zero_pp_rank_169_mp_rank_00_optim_states.pt 21: [2022-11-25 23:33:16,867] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: successfully saved checkpoint at iteration 9000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 6974.35 31: iteration 9010/ 33899 | consumed samples: 4613120 | consumed tokens: 9447669760 | elapsed time per iteration (s): 2.65 | learning rate: 1.719E-04 | global batch size: 512 | lm loss: 2.212392E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 193.038 | TFLOPs: 28.97 | 31: iteration 9020/ 33899 | consumed samples: 4618240 | consumed tokens: 9458155520 | elapsed time per iteration (s): 1.94 | learning rate: 1.719E-04 | global batch size: 512 | lm loss: 2.187546E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.886 | TFLOPs: 39.61 | 31: iteration 9030/ 33899 | consumed samples: 4623360 | consumed tokens: 9468641280 | elapsed time per iteration (s): 1.89 | learning rate: 1.718E-04 | global batch size: 512 | lm loss: 2.184865E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.703 | TFLOPs: 40.63 | 31: iteration 9040/ 33899 | consumed samples: 4628480 | consumed tokens: 9479127040 | elapsed time per iteration (s): 1.88 | learning rate: 1.718E-04 | global batch size: 512 | lm loss: 2.193924E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.771 | TFLOPs: 40.79 | 31: iteration 9050/ 33899 | consumed samples: 4633600 | consumed tokens: 9489612800 | elapsed time per iteration (s): 1.85 | learning rate: 1.717E-04 | global batch size: 512 | lm loss: 2.199107E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.064 | TFLOPs: 41.44 | 31: iteration 9060/ 33899 | consumed samples: 4638720 | consumed tokens: 9500098560 | elapsed time per iteration (s): 1.92 | learning rate: 1.716E-04 | global batch size: 512 | lm loss: 2.220476E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.362 | TFLOPs: 40.13 | 31: iteration 9070/ 33899 | consumed samples: 4643840 | consumed tokens: 9510584320 | elapsed time per iteration (s): 1.99 | learning rate: 1.716E-04 | global batch size: 512 | lm loss: 2.192436E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 257.198 | TFLOPs: 38.60 | 31: iteration 9080/ 33899 | consumed samples: 4648960 | consumed tokens: 9521070080 | elapsed time per iteration (s): 1.86 | learning rate: 1.715E-04 | global batch size: 512 | lm loss: 2.159376E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.658 | TFLOPs: 41.37 | 31: iteration 9090/ 33899 | consumed samples: 4654080 | consumed tokens: 9531555840 | elapsed time per iteration (s): 1.89 | learning rate: 1.715E-04 | global batch size: 512 | lm loss: 2.177740E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.996 | TFLOPs: 40.68 | 31: iteration 9100/ 33899 | consumed samples: 4659200 | consumed tokens: 9542041600 | elapsed time per iteration (s): 1.90 | learning rate: 1.714E-04 | global batch size: 512 | lm loss: 2.191099E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.152 | TFLOPs: 40.40 | 31: iteration 9110/ 33899 | consumed samples: 4664320 | consumed tokens: 9552527360 | elapsed time per iteration (s): 1.87 | learning rate: 1.713E-04 | global batch size: 512 | lm loss: 2.185496E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.431 | TFLOPs: 41.19 | 31: iteration 9120/ 33899 | consumed samples: 4669440 | consumed tokens: 9563013120 | elapsed time per iteration (s): 1.93 | learning rate: 1.713E-04 | global batch size: 512 | lm loss: 2.170107E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.107 | TFLOPs: 39.79 | 31: iteration 9130/ 33899 | consumed samples: 4674560 | consumed tokens: 9573498880 | elapsed time per iteration (s): 2.10 | learning rate: 1.712E-04 | global batch size: 512 | lm loss: 2.171261E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 244.009 | TFLOPs: 36.62 | 31: iteration 9140/ 33899 | consumed samples: 4679680 | consumed tokens: 9583984640 | elapsed time per iteration (s): 1.83 | learning rate: 1.711E-04 | global batch size: 512 | lm loss: 2.188060E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.666 | TFLOPs: 41.98 | 31: iteration 9150/ 33899 | consumed samples: 4684800 | consumed tokens: 9594470400 | elapsed time per iteration (s): 1.83 | learning rate: 1.711E-04 | global batch size: 512 | lm loss: 2.196270E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.956 | TFLOPs: 42.02 | 31: iteration 9160/ 33899 | consumed samples: 4689920 | consumed tokens: 9604956160 | elapsed time per iteration (s): 1.83 | learning rate: 1.710E-04 | global batch size: 512 | lm loss: 2.191631E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.449 | TFLOPs: 42.09 | 31: iteration 9170/ 33899 | consumed samples: 4695040 | consumed tokens: 9615441920 | elapsed time per iteration (s): 1.89 | learning rate: 1.710E-04 | global batch size: 512 | lm loss: 2.190776E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.694 | TFLOPs: 40.63 | 31: iteration 9180/ 33899 | consumed samples: 4700160 | consumed tokens: 9625927680 | elapsed time per iteration (s): 1.82 | learning rate: 1.709E-04 | global batch size: 512 | lm loss: 2.177585E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.935 | TFLOPs: 42.17 | 31: iteration 9190/ 33899 | consumed samples: 4705280 | consumed tokens: 9636413440 | elapsed time per iteration (s): 1.88 | learning rate: 1.708E-04 | global batch size: 512 | lm loss: 2.204841E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.772 | TFLOPs: 40.79 | 31: iteration 9200/ 33899 | consumed samples: 4710400 | consumed tokens: 9646899200 | elapsed time per iteration (s): 1.76 | learning rate: 1.708E-04 | global batch size: 512 | lm loss: 2.193120E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.465 | TFLOPs: 43.60 | 31: iteration 9210/ 33899 | consumed samples: 4715520 | consumed tokens: 9657384960 | elapsed time per iteration (s): 1.81 | learning rate: 1.707E-04 | global batch size: 512 | lm loss: 2.169799E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.028 | TFLOPs: 42.48 | 31: iteration 9220/ 33899 | consumed samples: 4720640 | consumed tokens: 9667870720 | elapsed time per iteration (s): 1.89 | learning rate: 1.706E-04 | global batch size: 512 | lm loss: 2.201761E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.600 | TFLOPs: 40.62 | 31: iteration 9230/ 33899 | consumed samples: 4725760 | consumed tokens: 9678356480 | elapsed time per iteration (s): 1.83 | learning rate: 1.706E-04 | global batch size: 512 | lm loss: 2.161320E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.654 | TFLOPs: 41.97 | 31: iteration 9240/ 33899 | consumed samples: 4730880 | consumed tokens: 9688842240 | elapsed time per iteration (s): 1.76 | learning rate: 1.705E-04 | global batch size: 512 | lm loss: 2.168418E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.563 | TFLOPs: 43.61 | 31: iteration 9250/ 33899 | consumed samples: 4736000 | consumed tokens: 9699328000 | elapsed time per iteration (s): 1.89 | learning rate: 1.705E-04 | global batch size: 512 | lm loss: 2.184591E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.790 | TFLOPs: 40.64 | 31: iteration 9260/ 33899 | consumed samples: 4741120 | consumed tokens: 9709813760 | elapsed time per iteration (s): 1.89 | learning rate: 1.704E-04 | global batch size: 512 | lm loss: 2.165531E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.654 | TFLOPs: 40.62 | 31: iteration 9270/ 33899 | consumed samples: 4746240 | consumed tokens: 9720299520 | elapsed time per iteration (s): 1.83 | learning rate: 1.703E-04 | global batch size: 512 | lm loss: 2.188624E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.876 | TFLOPs: 42.01 | 31: iteration 9280/ 33899 | consumed samples: 4751360 | consumed tokens: 9730785280 | elapsed time per iteration (s): 1.84 | learning rate: 1.703E-04 | global batch size: 512 | lm loss: 2.195420E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.690 | TFLOPs: 41.83 | 31: iteration 9290/ 33899 | consumed samples: 4756480 | consumed tokens: 9741271040 | elapsed time per iteration (s): 1.82 | learning rate: 1.702E-04 | global batch size: 512 | lm loss: 2.174562E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.053 | TFLOPs: 42.33 | 31: iteration 9300/ 33899 | consumed samples: 4761600 | consumed tokens: 9751756800 | elapsed time per iteration (s): 1.83 | learning rate: 1.701E-04 | global batch size: 512 | lm loss: 2.171855E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.053 | TFLOPs: 41.88 | 31: iteration 9310/ 33899 | consumed samples: 4766720 | consumed tokens: 9762242560 | elapsed time per iteration (s): 1.84 | learning rate: 1.701E-04 | global batch size: 512 | lm loss: 2.184695E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.737 | TFLOPs: 41.84 | 31: iteration 9320/ 33899 | consumed samples: 4771840 | consumed tokens: 9772728320 | elapsed time per iteration (s): 1.83 | learning rate: 1.700E-04 | global batch size: 512 | lm loss: 2.185585E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.312 | TFLOPs: 42.07 | 31: iteration 9330/ 33899 | consumed samples: 4776960 | consumed tokens: 9783214080 | elapsed time per iteration (s): 1.82 | learning rate: 1.700E-04 | global batch size: 512 | lm loss: 2.190738E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.318 | TFLOPs: 42.22 | 31: iteration 9340/ 33899 | consumed samples: 4782080 | consumed tokens: 9793699840 | elapsed time per iteration (s): 1.93 | learning rate: 1.699E-04 | global batch size: 512 | lm loss: 2.190403E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.741 | TFLOPs: 39.89 | 31: iteration 9350/ 33899 | consumed samples: 4787200 | consumed tokens: 9804185600 | elapsed time per iteration (s): 1.82 | learning rate: 1.698E-04 | global batch size: 512 | lm loss: 2.180532E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.064 | TFLOPs: 42.34 | 31: iteration 9360/ 33899 | consumed samples: 4792320 | consumed tokens: 9814671360 | elapsed time per iteration (s): 1.88 | learning rate: 1.698E-04 | global batch size: 512 | lm loss: 2.186586E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.833 | TFLOPs: 40.80 | 31: iteration 9370/ 33899 | consumed samples: 4797440 | consumed tokens: 9825157120 | elapsed time per iteration (s): 1.85 | learning rate: 1.697E-04 | global batch size: 512 | lm loss: 2.180930E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.362 | TFLOPs: 41.48 | 31: iteration 9380/ 33899 | consumed samples: 4802560 | consumed tokens: 9835642880 | elapsed time per iteration (s): 1.84 | learning rate: 1.696E-04 | global batch size: 512 | lm loss: 2.182020E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.409 | TFLOPs: 41.79 | 31: iteration 9390/ 33899 | consumed samples: 4807680 | consumed tokens: 9846128640 | elapsed time per iteration (s): 1.90 | learning rate: 1.696E-04 | global batch size: 512 | lm loss: 2.168319E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.809 | TFLOPs: 40.35 | 31: iteration 9400/ 33899 | consumed samples: 4812800 | consumed tokens: 9856614400 | elapsed time per iteration (s): 1.81 | learning rate: 1.695E-04 | global batch size: 512 | lm loss: 2.179075E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.266 | TFLOPs: 42.37 | 31: iteration 9410/ 33899 | consumed samples: 4817920 | consumed tokens: 9867100160 | elapsed time per iteration (s): 1.82 | learning rate: 1.695E-04 | global batch size: 512 | lm loss: 2.167219E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.830 | TFLOPs: 42.30 | 31: iteration 9420/ 33899 | consumed samples: 4823040 | consumed tokens: 9877585920 | elapsed time per iteration (s): 1.83 | learning rate: 1.694E-04 | global batch size: 512 | lm loss: 2.162624E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.186 | TFLOPs: 42.05 | 31: iteration 9430/ 33899 | consumed samples: 4828160 | consumed tokens: 9888071680 | elapsed time per iteration (s): 1.97 | learning rate: 1.693E-04 | global batch size: 512 | lm loss: 2.171499E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.362 | TFLOPs: 38.93 | 31: iteration 9440/ 33899 | consumed samples: 4833280 | consumed tokens: 9898557440 | elapsed time per iteration (s): 1.86 | learning rate: 1.693E-04 | global batch size: 512 | lm loss: 2.177117E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.924 | TFLOPs: 41.26 | 31: iteration 9450/ 33899 | consumed samples: 4838400 | consumed tokens: 9909043200 | elapsed time per iteration (s): 1.91 | learning rate: 1.692E-04 | global batch size: 512 | lm loss: 2.180487E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.977 | TFLOPs: 40.22 | 31: iteration 9460/ 33899 | consumed samples: 4843520 | consumed tokens: 9919528960 | elapsed time per iteration (s): 1.87 | learning rate: 1.691E-04 | global batch size: 512 | lm loss: 2.167965E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.367 | TFLOPs: 41.18 | 31: iteration 9470/ 33899 | consumed samples: 4848640 | consumed tokens: 9930014720 | elapsed time per iteration (s): 1.86 | learning rate: 1.691E-04 | global batch size: 512 | lm loss: 2.191578E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.290 | TFLOPs: 41.32 | 31: iteration 9480/ 33899 | consumed samples: 4853760 | consumed tokens: 9940500480 | elapsed time per iteration (s): 1.87 | learning rate: 1.690E-04 | global batch size: 512 | lm loss: 2.157865E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.544 | TFLOPs: 41.06 | 31: iteration 9490/ 33899 | consumed samples: 4858880 | consumed tokens: 9950986240 | elapsed time per iteration (s): 1.81 | learning rate: 1.689E-04 | global batch size: 512 | lm loss: 2.193081E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.157 | TFLOPs: 42.50 | 31: iteration 9500/ 33899 | consumed samples: 4864000 | consumed tokens: 9961472000 | elapsed time per iteration (s): 1.81 | learning rate: 1.689E-04 | global batch size: 512 | lm loss: 2.189385E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.265 | TFLOPs: 42.37 | 31: iteration 9510/ 33899 | consumed samples: 4869120 | consumed tokens: 9971957760 | elapsed time per iteration (s): 1.81 | learning rate: 1.688E-04 | global batch size: 512 | lm loss: 2.194527E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.642 | TFLOPs: 42.42 | 31: iteration 9520/ 33899 | consumed samples: 4874240 | consumed tokens: 9982443520 | elapsed time per iteration (s): 1.88 | learning rate: 1.688E-04 | global batch size: 512 | lm loss: 2.176542E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.835 | TFLOPs: 40.95 | 31: iteration 9530/ 33899 | consumed samples: 4879360 | consumed tokens: 9992929280 | elapsed time per iteration (s): 1.86 | learning rate: 1.687E-04 | global batch size: 512 | lm loss: 2.164183E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.712 | TFLOPs: 41.38 | 31: iteration 9540/ 33899 | consumed samples: 4884480 | consumed tokens: 10003415040 | elapsed time per iteration (s): 1.91 | learning rate: 1.686E-04 | global batch size: 512 | lm loss: 2.166186E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.500 | TFLOPs: 40.30 | 31: iteration 9550/ 33899 | consumed samples: 4889600 | consumed tokens: 10013900800 | elapsed time per iteration (s): 1.85 | learning rate: 1.686E-04 | global batch size: 512 | lm loss: 2.200013E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.392 | TFLOPs: 41.48 | 31: iteration 9560/ 33899 | consumed samples: 4894720 | consumed tokens: 10024386560 | elapsed time per iteration (s): 1.85 | learning rate: 1.685E-04 | global batch size: 512 | lm loss: 2.185381E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.080 | TFLOPs: 41.59 | 31: iteration 9570/ 33899 | consumed samples: 4899840 | consumed tokens: 10034872320 | elapsed time per iteration (s): 1.83 | learning rate: 1.684E-04 | global batch size: 512 | lm loss: 2.161598E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.057 | TFLOPs: 42.04 | 31: iteration 9580/ 33899 | consumed samples: 4904960 | consumed tokens: 10045358080 | elapsed time per iteration (s): 1.84 | learning rate: 1.684E-04 | global batch size: 512 | lm loss: 2.171655E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.747 | TFLOPs: 41.69 | 31: iteration 9590/ 33899 | consumed samples: 4910080 | consumed tokens: 10055843840 | elapsed time per iteration (s): 1.81 | learning rate: 1.683E-04 | global batch size: 512 | lm loss: 2.169553E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.105 | TFLOPs: 42.34 | 31: iteration 9600/ 33899 | consumed samples: 4915200 | consumed tokens: 10066329600 | elapsed time per iteration (s): 1.82 | learning rate: 1.682E-04 | global batch size: 512 | lm loss: 2.178472E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.793 | TFLOPs: 42.15 | 31: iteration 9610/ 33899 | consumed samples: 4920320 | consumed tokens: 10076815360 | elapsed time per iteration (s): 1.87 | learning rate: 1.682E-04 | global batch size: 512 | lm loss: 2.171803E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.630 | TFLOPs: 41.07 | 31: iteration 9620/ 33899 | consumed samples: 4925440 | consumed tokens: 10087301120 | elapsed time per iteration (s): 1.90 | learning rate: 1.681E-04 | global batch size: 512 | lm loss: 2.176224E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.143 | TFLOPs: 40.55 | 31: iteration 9630/ 33899 | consumed samples: 4930560 | consumed tokens: 10097786880 | elapsed time per iteration (s): 1.84 | learning rate: 1.681E-04 | global batch size: 512 | lm loss: 2.182856E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.897 | TFLOPs: 41.86 | 31: iteration 9640/ 33899 | consumed samples: 4935680 | consumed tokens: 10108272640 | elapsed time per iteration (s): 1.85 | learning rate: 1.680E-04 | global batch size: 512 | lm loss: 2.155427E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.546 | TFLOPs: 41.51 | 31: iteration 9650/ 33899 | consumed samples: 4940800 | consumed tokens: 10118758400 | elapsed time per iteration (s): 1.80 | learning rate: 1.679E-04 | global batch size: 512 | lm loss: 2.173972E+00 | grad norm: 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size: 512 | lm loss: 2.162256E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.497 | TFLOPs: 41.50 | 31: iteration 9690/ 33899 | consumed samples: 4961280 | consumed tokens: 10160701440 | elapsed time per iteration (s): 1.83 | learning rate: 1.677E-04 | global batch size: 512 | lm loss: 2.154134E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.818 | TFLOPs: 42.00 | 31: iteration 9700/ 33899 | consumed samples: 4966400 | consumed tokens: 10171187200 | elapsed time per iteration (s): 1.79 | learning rate: 1.676E-04 | global batch size: 512 | lm loss: 2.170932E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.964 | TFLOPs: 42.92 | 31: iteration 9710/ 33899 | consumed samples: 4971520 | consumed tokens: 10181672960 | elapsed time per iteration (s): 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[2022-11-26 00:04:31,500] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[0.00016563661673498395, 0.00016563661673498395, 0.00016563661673498395], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 10000/ 33899 | consumed samples: 5120000 | consumed tokens: 10485760000 | elapsed time per iteration (s): 1.87 | learning rate: 1.656E-04 | global batch size: 512 | lm loss: 2.181961E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.449 | TFLOPs: 41.19 | 0: steps: 10000 loss: 2.1635 iter time (s): 1.954 samples/sec: 262.093 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 10000 | lm loss value: 2.098396E+00 | lm loss PPL: 8.153080E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_2b8 0: [2022-11-26 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checkpoints_2b8/global_step10000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-26 00:04:38,468] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step10000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-26 00:04:38,468] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 5: [2022-11-26 00:04:38,468] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step10000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-26 00:04:38,468] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step10000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-26 00:04:38,468] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 8: [2022-11-26 00:04:38,470] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step10000/bf16_zero_pp_rank_65_mp_rank_00_optim_states.pt. 8: [2022-11-26 00:04:38,470] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step10000/bf16_zero_pp_rank_65_mp_rank_00_optim_states.pt 8: [2022-11-26 00:04:38,470] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 15: [2022-11-26 00:04:38,470] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step10000/bf16_zero_pp_rank_124_mp_rank_00_optim_states.pt. 15: [2022-11-26 00:04:38,471] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step10000/bf16_zero_pp_rank_124_mp_rank_00_optim_states.pt 15: [2022-11-26 00:04:38,471] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 20: [2022-11-26 00:04:38,491] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step10000/bf16_zero_pp_rank_165_mp_rank_00_optim_states.pt. 20: [2022-11-26 00:04:38,491] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step10000/bf16_zero_pp_rank_165_mp_rank_00_optim_states.pt 20: [2022-11-26 00:04:38,491] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 6419.29 31: iteration 10010/ 33899 | consumed samples: 5125120 | consumed tokens: 10496245760 | elapsed time per iteration (s): 2.57 | learning rate: 1.656E-04 | global batch size: 512 | lm loss: 2.153848E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 198.982 | TFLOPs: 29.87 | 31: iteration 10020/ 33899 | consumed samples: 5130240 | consumed tokens: 10506731520 | elapsed time per iteration (s): 1.88 | learning rate: 1.655E-04 | global batch size: 512 | lm loss: 2.169023E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.513 | TFLOPs: 40.90 | 31: iteration 10030/ 33899 | consumed samples: 5135360 | consumed tokens: 10517217280 | elapsed time per iteration (s): 1.89 | learning rate: 1.654E-04 | global batch size: 512 | lm loss: 2.157912E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.526 | TFLOPs: 40.75 | 31: iteration 10040/ 33899 | consumed samples: 5140480 | consumed tokens: 10527703040 | elapsed time per iteration (s): 1.78 | learning rate: 1.654E-04 | global batch size: 512 | lm loss: 2.140327E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.090 | TFLOPs: 43.09 | 31: iteration 10050/ 33899 | consumed samples: 5145600 | consumed tokens: 10538188800 | elapsed time per iteration (s): 1.90 | learning rate: 1.653E-04 | global batch size: 512 | lm loss: 2.149550E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.541 | TFLOPs: 40.46 | 31: iteration 10060/ 33899 | consumed samples: 5150720 | consumed tokens: 10548674560 | elapsed time per iteration (s): 1.82 | learning rate: 1.652E-04 | global batch size: 512 | lm loss: 2.141041E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.701 | TFLOPs: 42.28 | 31: iteration 10070/ 33899 | consumed samples: 5155840 | consumed tokens: 10559160320 | elapsed time per iteration (s): 1.80 | learning rate: 1.652E-04 | global batch size: 512 | lm loss: 2.154505E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.568 | TFLOPs: 42.71 | 31: iteration 10080/ 33899 | consumed samples: 5160960 | consumed tokens: 10569646080 | elapsed time per iteration (s): 1.83 | learning rate: 1.651E-04 | global batch size: 512 | lm loss: 2.182810E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.896 | TFLOPs: 42.01 | 31: iteration 10090/ 33899 | consumed samples: 5166080 | consumed tokens: 10580131840 | elapsed time per iteration (s): 1.82 | learning rate: 1.650E-04 | global batch size: 512 | lm loss: 2.157891E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.846 | TFLOPs: 42.15 | 31: iteration 10100/ 33899 | consumed samples: 5171200 | consumed tokens: 10590617600 | elapsed time per iteration (s): 1.86 | learning rate: 1.650E-04 | global batch size: 512 | lm loss: 2.163505E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.338 | TFLOPs: 41.33 | 31: iteration 10110/ 33899 | consumed samples: 5176320 | consumed tokens: 10601103360 | elapsed time per iteration (s): 1.86 | learning rate: 1.649E-04 | global batch size: 512 | lm loss: 2.127716E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.111 | TFLOPs: 41.29 | 31: iteration 10120/ 33899 | consumed samples: 5181440 | consumed tokens: 10611589120 | elapsed time per iteration (s): 1.82 | learning rate: 1.648E-04 | global batch size: 512 | lm loss: 2.155215E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.534 | TFLOPs: 42.26 | 31: iteration 10130/ 33899 | consumed samples: 5186560 | consumed tokens: 10622074880 | elapsed time per iteration (s): 1.90 | learning rate: 1.648E-04 | global batch size: 512 | lm loss: 2.146661E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.350 | TFLOPs: 40.43 | 31: iteration 10140/ 33899 | consumed samples: 5191680 | consumed tokens: 10632560640 | elapsed time per iteration (s): 1.90 | learning rate: 1.647E-04 | global batch size: 512 | lm loss: 2.157442E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.108 | TFLOPs: 40.54 | 31: iteration 10150/ 33899 | consumed samples: 5196800 | consumed tokens: 10643046400 | elapsed time per iteration (s): 1.95 | learning rate: 1.646E-04 | global batch size: 512 | lm loss: 2.166713E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.068 | TFLOPs: 39.33 | 31: iteration 10160/ 33899 | consumed samples: 5201920 | consumed tokens: 10653532160 | elapsed time per iteration (s): 1.84 | learning rate: 1.646E-04 | global batch size: 512 | lm loss: 2.150430E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.478 | TFLOPs: 41.80 | 31: iteration 10170/ 33899 | consumed samples: 5207040 | consumed tokens: 10664017920 | elapsed time per iteration (s): 1.86 | learning rate: 1.645E-04 | global batch size: 512 | lm loss: 2.161258E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.673 | TFLOPs: 41.23 | 31: iteration 10180/ 33899 | consumed samples: 5212160 | consumed tokens: 10674503680 | elapsed time per iteration (s): 1.92 | learning rate: 1.644E-04 | global batch size: 512 | lm loss: 2.140968E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.698 | TFLOPs: 40.03 | 31: iteration 10190/ 33899 | consumed samples: 5217280 | consumed tokens: 10684989440 | elapsed time per iteration (s): 1.98 | learning rate: 1.644E-04 | global batch size: 512 | lm loss: 2.147695E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 257.941 | TFLOPs: 38.72 | 31: iteration 10200/ 33899 | consumed samples: 5222400 | consumed tokens: 10695475200 | elapsed time per iteration (s): 1.90 | learning rate: 1.643E-04 | global batch size: 512 | lm loss: 2.157103E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.416 | TFLOPs: 40.44 | 31: iteration 10210/ 33899 | consumed samples: 5227520 | consumed tokens: 10705960960 | elapsed time per iteration (s): 1.85 | learning rate: 1.642E-04 | global batch size: 512 | lm loss: 2.154573E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.070 | TFLOPs: 41.44 | 31: iteration 10220/ 33899 | consumed samples: 5232640 | consumed tokens: 10716446720 | elapsed time per iteration (s): 1.84 | learning rate: 1.642E-04 | global batch size: 512 | lm loss: 2.161877E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.975 | TFLOPs: 41.72 | 31: iteration 10230/ 33899 | consumed samples: 5237760 | consumed tokens: 10726932480 | elapsed time per iteration (s): 1.81 | learning rate: 1.641E-04 | global batch size: 512 | lm loss: 2.149711E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.294 | TFLOPs: 42.52 | 31: iteration 10240/ 33899 | consumed samples: 5242880 | consumed tokens: 10737418240 | elapsed time per iteration (s): 1.83 | learning rate: 1.640E-04 | global batch size: 512 | lm loss: 2.154883E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.765 | TFLOPs: 41.99 | 31: iteration 10250/ 33899 | consumed samples: 5248000 | consumed tokens: 10747904000 | elapsed time per iteration (s): 1.85 | learning rate: 1.640E-04 | global batch size: 512 | lm loss: 2.158960E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.005 | TFLOPs: 41.58 | 31: iteration 10260/ 33899 | consumed samples: 5253120 | consumed tokens: 10758389760 | elapsed time per iteration (s): 1.75 | learning rate: 1.639E-04 | global batch size: 512 | lm loss: 2.177448E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 292.380 | TFLOPs: 43.88 | 31: iteration 10270/ 33899 | consumed samples: 5258240 | consumed tokens: 10768875520 | elapsed time per iteration (s): 1.80 | learning rate: 1.638E-04 | global batch size: 512 | lm loss: 2.151640E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.835 | TFLOPs: 42.60 | 31: iteration 10280/ 33899 | consumed samples: 5263360 | consumed tokens: 10779361280 | elapsed time per iteration (s): 1.79 | learning rate: 1.638E-04 | global batch size: 512 | lm loss: 2.161558E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.406 | TFLOPs: 42.84 | 31: iteration 10290/ 33899 | consumed samples: 5268480 | consumed tokens: 10789847040 | elapsed time per iteration (s): 1.81 | learning rate: 1.637E-04 | global batch size: 512 | lm loss: 2.136212E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.162 | TFLOPs: 42.50 | 31: iteration 10300/ 33899 | consumed samples: 5273600 | consumed tokens: 10800332800 | elapsed time per iteration (s): 1.80 | learning rate: 1.636E-04 | global batch size: 512 | lm loss: 2.146040E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.658 | TFLOPs: 42.58 | 31: iteration 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second: 267.582 | TFLOPs: 40.16 | 31: iteration 10340/ 33899 | consumed samples: 5294080 | consumed tokens: 10842275840 | elapsed time per iteration (s): 1.90 | learning rate: 1.634E-04 | global batch size: 512 | lm loss: 2.146318E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.057 | TFLOPs: 40.38 | 31: iteration 10350/ 33899 | consumed samples: 5299200 | consumed tokens: 10852761600 | elapsed time per iteration (s): 1.87 | learning rate: 1.633E-04 | global batch size: 512 | lm loss: 2.154135E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.178 | TFLOPs: 41.00 | 31: iteration 10360/ 33899 | consumed samples: 5304320 | consumed tokens: 10863247360 | elapsed time per iteration (s): 1.89 | learning rate: 1.632E-04 | global batch size: 512 | lm loss: 2.136845E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.008 | TFLOPs: 40.68 | 31: iteration 10370/ 33899 | consumed samples: 5309440 | consumed tokens: 10873733120 | elapsed time per iteration (s): 1.86 | learning rate: 1.632E-04 | global batch size: 512 | lm loss: 2.146321E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.362 | TFLOPs: 41.33 | 31: iteration 10380/ 33899 | consumed samples: 5314560 | consumed tokens: 10884218880 | elapsed time per iteration (s): 1.87 | learning rate: 1.631E-04 | global batch size: 512 | lm loss: 2.156231E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.074 | TFLOPs: 41.14 | 31: iteration 10390/ 33899 | consumed samples: 5319680 | consumed tokens: 10894704640 | elapsed time per iteration (s): 1.82 | learning rate: 1.630E-04 | global batch size: 512 | lm loss: 2.150736E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.357 | TFLOPs: 42.23 | 31: iteration 10400/ 33899 | consumed samples: 5324800 | consumed tokens: 10905190400 | elapsed time per iteration (s): 1.83 | learning rate: 1.629E-04 | global batch size: 512 | lm loss: 2.165350E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.056 | TFLOPs: 42.03 | 31: iteration 10410/ 33899 | consumed samples: 5329920 | consumed tokens: 10915676160 | elapsed time per iteration (s): 1.86 | learning rate: 1.629E-04 | global batch size: 512 | lm loss: 2.152289E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.755 | TFLOPs: 41.39 | 31: iteration 10420/ 33899 | consumed samples: 5335040 | consumed tokens: 10926161920 | elapsed time per iteration (s): 1.86 | learning rate: 1.628E-04 | global batch size: 512 | lm loss: 2.131414E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.731 | TFLOPs: 41.24 | 31: iteration 10430/ 33899 | consumed samples: 5340160 | consumed tokens: 10936647680 | elapsed time per iteration (s): 1.91 | learning rate: 1.627E-04 | global batch size: 512 | lm loss: 2.155347E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.719 | TFLOPs: 40.33 | 31: iteration 10440/ 33899 | consumed samples: 5345280 | consumed tokens: 10947133440 | elapsed time per iteration (s): 1.96 | learning rate: 1.627E-04 | global batch size: 512 | lm loss: 2.162077E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.423 | TFLOPs: 39.24 | 31: iteration 10450/ 33899 | consumed samples: 5350400 | consumed tokens: 10957619200 | elapsed time per iteration (s): 1.81 | learning rate: 1.626E-04 | global batch size: 512 | lm loss: 2.140156E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.161 | TFLOPs: 42.35 | 31: iteration 10460/ 33899 | consumed samples: 5355520 | consumed tokens: 10968104960 | elapsed time per iteration (s): 1.90 | learning rate: 1.625E-04 | global batch size: 512 | lm loss: 2.141666E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.058 | TFLOPs: 40.38 | 31: iteration 10470/ 33899 | consumed samples: 5360640 | consumed tokens: 10978590720 | elapsed time per iteration (s): 2.01 | learning rate: 1.625E-04 | global batch size: 512 | lm loss: 2.136325E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 254.329 | TFLOPs: 38.17 | 31: iteration 10480/ 33899 | consumed samples: 5365760 | consumed tokens: 10989076480 | elapsed time per iteration (s): 1.84 | learning rate: 1.624E-04 | global batch size: 512 | lm loss: 2.140654E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.230 | TFLOPs: 41.76 | 31: iteration 10490/ 33899 | consumed samples: 5370880 | consumed tokens: 10999562240 | elapsed time per iteration (s): 1.80 | learning rate: 1.623E-04 | global batch size: 512 | lm loss: 2.130649E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.558 | TFLOPs: 42.71 | 31: iteration 10500/ 33899 | consumed samples: 5376000 | consumed tokens: 11010048000 | elapsed time per iteration (s): 1.89 | learning rate: 1.623E-04 | global batch size: 512 | lm loss: 2.154685E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.756 | TFLOPs: 40.64 | 31: iteration 10510/ 33899 | consumed samples: 5381120 | consumed tokens: 11020533760 | elapsed time per iteration (s): 2.59 | learning rate: 1.622E-04 | global batch size: 512 | lm loss: 2.162989E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 197.708 | TFLOPs: 29.67 | 31: iteration 10520/ 33899 | consumed samples: 5386240 | consumed tokens: 11031019520 | elapsed time per iteration (s): 1.80 | learning rate: 1.621E-04 | global batch size: 512 | lm loss: 2.154910E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.822 | TFLOPs: 42.60 | 31: iteration 10530/ 33899 | consumed samples: 5391360 | consumed tokens: 11041505280 | elapsed time per iteration (s): 1.89 | learning rate: 1.621E-04 | global batch size: 512 | lm loss: 2.165139E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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| consumed samples: 5585920 | consumed tokens: 11439964160 | elapsed time per iteration (s): 1.78 | learning rate: 1.594E-04 | global batch size: 512 | lm loss: 2.207679E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.209 | TFLOPs: 43.11 | 31: iteration 10920/ 33899 | consumed samples: 5591040 | consumed tokens: 11450449920 | elapsed time per iteration (s): 1.80 | learning rate: 1.593E-04 | global batch size: 512 | lm loss: 2.205692E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.696 | TFLOPs: 42.58 | 31: iteration 10930/ 33899 | consumed samples: 5596160 | consumed tokens: 11460935680 | elapsed time per iteration (s): 1.80 | learning rate: 1.593E-04 | global batch size: 512 | lm loss: 2.211730E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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1: [2022-11-26 00:35:49,204] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step11000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-26 00:35:49,204] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2022-11-26 00:35:49,205] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step11000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-26 00:35:49,206] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step11000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-26 00:35:49,206] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2022-11-26 00:35:49,207] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step11000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-26 00:35:49,207] [INFO] 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checkpoints_2b8/global_step11000/bf16_zero_pp_rank_94_mp_rank_00_optim_states.pt 11: [2022-11-26 00:35:49,222] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: successfully saved checkpoint at iteration 11000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 6646.88 31: iteration 11010/ 33899 | consumed samples: 5637120 | consumed tokens: 11544821760 | elapsed time per iteration (s): 2.55 | learning rate: 1.587E-04 | global batch size: 512 | lm loss: 2.161701E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 200.574 | TFLOPs: 30.11 | 31: iteration 11020/ 33899 | consumed samples: 5642240 | consumed tokens: 11555307520 | elapsed time per iteration (s): 1.84 | learning rate: 1.586E-04 | global batch size: 512 | lm loss: 2.146796E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.313 | TFLOPs: 41.77 | 31: iteration 11030/ 33899 | consumed samples: 5647360 | consumed tokens: 11565793280 | elapsed time per iteration (s): 1.94 | learning rate: 1.586E-04 | global batch size: 512 | lm loss: 2.155673E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.400 | TFLOPs: 39.69 | 31: iteration 11040/ 33899 | consumed samples: 5652480 | consumed tokens: 11576279040 | elapsed time per iteration (s): 1.87 | learning rate: 1.585E-04 | global batch size: 512 | lm loss: 2.154127E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.029 | TFLOPs: 41.13 | 31: iteration 11050/ 33899 | consumed samples: 5657600 | consumed tokens: 11586764800 | elapsed time per iteration (s): 1.78 | learning rate: 1.584E-04 | global batch size: 512 | lm loss: 2.168948E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.714 | TFLOPs: 43.18 | 31: iteration 11060/ 33899 | consumed samples: 5662720 | consumed tokens: 11597250560 | elapsed time per iteration (s): 1.86 | learning rate: 1.584E-04 | global batch size: 512 | lm loss: 2.165200E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.942 | TFLOPs: 41.27 | 31: iteration 11070/ 33899 | consumed samples: 5667840 | consumed tokens: 11607736320 | elapsed time per iteration (s): 1.82 | learning rate: 1.583E-04 | global batch size: 512 | lm loss: 2.145489E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.220 | TFLOPs: 42.21 | 31: iteration 11080/ 33899 | consumed samples: 5672960 | consumed tokens: 11618222080 | elapsed time per iteration (s): 1.82 | learning rate: 1.582E-04 | global batch size: 512 | lm loss: 2.160232E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.138 | TFLOPs: 42.20 | 31: iteration 11090/ 33899 | consumed samples: 5678080 | consumed tokens: 11628707840 | elapsed time per iteration (s): 2.01 | learning rate: 1.581E-04 | global batch size: 512 | lm loss: 2.142817E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 254.453 | TFLOPs: 38.19 | 31: iteration 11100/ 33899 | consumed samples: 5683200 | consumed tokens: 11639193600 | elapsed time per iteration (s): 2.07 | learning rate: 1.581E-04 | global batch size: 512 | lm loss: 2.160472E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 247.546 | TFLOPs: 37.16 | 31: iteration 11110/ 33899 | consumed samples: 5688320 | consumed tokens: 11649679360 | elapsed time per iteration (s): 1.87 | learning rate: 1.580E-04 | global batch size: 512 | lm loss: 2.154969E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.962 | TFLOPs: 41.12 | 31: iteration 11120/ 33899 | consumed samples: 5693440 | consumed tokens: 11660165120 | elapsed time per iteration (s): 1.90 | learning rate: 1.579E-04 | global batch size: 512 | lm loss: 2.166668E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.880 | TFLOPs: 40.36 | 31: iteration 11130/ 33899 | consumed samples: 5698560 | consumed tokens: 11670650880 | elapsed time per iteration (s): 1.86 | learning rate: 1.579E-04 | global batch size: 512 | lm loss: 2.133723E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.494 | TFLOPs: 41.35 | 31: iteration 11140/ 33899 | consumed samples: 5703680 | consumed tokens: 11681136640 | elapsed time per iteration (s): 1.85 | learning rate: 1.578E-04 | global batch size: 512 | lm loss: 2.169520E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.252 | TFLOPs: 41.46 | 31: iteration 11150/ 33899 | consumed samples: 5708800 | consumed tokens: 11691622400 | elapsed time per iteration (s): 1.87 | learning rate: 1.577E-04 | global batch size: 512 | lm loss: 2.161100E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.804 | TFLOPs: 41.10 | 31: iteration 11160/ 33899 | consumed samples: 5713920 | consumed tokens: 11702108160 | elapsed time per iteration (s): 1.87 | learning rate: 1.576E-04 | global batch size: 512 | lm loss: 2.137592E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.359 | TFLOPs: 41.18 | 31: iteration 11170/ 33899 | consumed samples: 5719040 | consumed tokens: 11712593920 | elapsed time per iteration (s): 1.90 | learning rate: 1.576E-04 | global batch size: 512 | lm loss: 2.143568E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.398 | TFLOPs: 40.44 | 31: iteration 11180/ 33899 | consumed samples: 5724160 | consumed tokens: 11723079680 | elapsed time per iteration (s): 1.86 | learning rate: 1.575E-04 | global batch size: 512 | lm loss: 2.122878E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.797 | TFLOPs: 41.40 | 31: iteration 11190/ 33899 | consumed samples: 5729280 | consumed tokens: 11733565440 | elapsed time per iteration (s): 1.78 | learning rate: 1.574E-04 | global batch size: 512 | lm loss: 2.135496E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.331 | TFLOPs: 43.28 | 31: iteration 11200/ 33899 | consumed samples: 5734400 | consumed tokens: 11744051200 | elapsed time per iteration (s): 1.80 | learning rate: 1.574E-04 | global batch size: 512 | lm loss: 2.116510E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.743 | TFLOPs: 42.74 | 31: iteration 11210/ 33899 | consumed samples: 5739520 | consumed tokens: 11754536960 | elapsed time per iteration (s): 1.82 | learning rate: 1.573E-04 | global batch size: 512 | lm loss: 2.125979E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.094 | TFLOPs: 42.19 | 31: iteration 11220/ 33899 | consumed samples: 5744640 | consumed tokens: 11765022720 | elapsed time per iteration (s): 1.86 | learning rate: 1.572E-04 | global batch size: 512 | lm loss: 2.127374E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.776 | TFLOPs: 41.24 | 31: iteration 11230/ 33899 | consumed samples: 5749760 | consumed tokens: 11775508480 | elapsed time per iteration (s): 1.89 | learning rate: 1.571E-04 | global batch size: 512 | lm loss: 2.155771E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.434 | TFLOPs: 40.74 | 31: iteration 11240/ 33899 | consumed samples: 5754880 | consumed tokens: 11785994240 | elapsed time per iteration (s): 1.83 | learning rate: 1.571E-04 | global batch size: 512 | lm loss: 2.145690E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.660 | TFLOPs: 41.98 | 31: iteration 11250/ 33899 | consumed samples: 5760000 | consumed tokens: 11796480000 | elapsed time per iteration (s): 1.87 | learning rate: 1.570E-04 | global batch size: 512 | lm loss: 2.136120E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.215 | TFLOPs: 41.16 | 31: iteration 11260/ 33899 | consumed samples: 5765120 | consumed tokens: 11806965760 | elapsed time per iteration (s): 1.95 | learning rate: 1.569E-04 | global batch size: 512 | lm loss: 2.156169E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.809 | TFLOPs: 39.45 | 31: iteration 11270/ 33899 | consumed samples: 5770240 | consumed tokens: 11817451520 | elapsed time per iteration (s): 1.87 | learning rate: 1.569E-04 | global batch size: 512 | lm loss: 2.149997E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.262 | TFLOPs: 41.17 | 31: iteration 11280/ 33899 | consumed samples: 5775360 | consumed tokens: 11827937280 | elapsed time per iteration (s): 1.83 | learning rate: 1.568E-04 | global batch size: 512 | lm loss: 2.155739E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.686 | TFLOPs: 41.98 | 31: iteration 11290/ 33899 | consumed samples: 5780480 | consumed tokens: 11838423040 | elapsed time per iteration (s): 2.11 | learning rate: 1.567E-04 | global batch size: 512 | lm loss: 2.126702E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 242.283 | TFLOPs: 36.37 | 31: iteration 11300/ 33899 | consumed samples: 5785600 | consumed tokens: 11848908800 | elapsed time per iteration (s): 1.88 | learning rate: 1.566E-04 | global batch size: 512 | lm loss: 2.141648E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.648 | TFLOPs: 40.77 | 31: iteration 11310/ 33899 | consumed samples: 5790720 | consumed tokens: 11859394560 | elapsed time per iteration (s): 1.79 | learning rate: 1.566E-04 | global batch size: 512 | lm loss: 2.127203E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.739 | TFLOPs: 42.89 | 31: iteration 11320/ 33899 | consumed samples: 5795840 | consumed tokens: 11869880320 | elapsed time per iteration (s): 1.80 | learning rate: 1.565E-04 | global batch size: 512 | lm loss: 2.145821E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.149 | TFLOPs: 42.80 | 31: iteration 11330/ 33899 | consumed samples: 5800960 | consumed tokens: 11880366080 | elapsed time per iteration (s): 1.77 | learning rate: 1.564E-04 | global batch size: 512 | lm loss: 2.136143E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.833 | TFLOPs: 43.35 | 31: iteration 11340/ 33899 | consumed samples: 5806080 | consumed tokens: 11890851840 | elapsed time per iteration (s): 1.82 | learning rate: 1.563E-04 | global batch size: 512 | lm loss: 2.140002E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.019 | TFLOPs: 42.33 | 31: iteration 11350/ 33899 | consumed samples: 5811200 | consumed tokens: 11901337600 | elapsed time per iteration (s): 1.82 | learning rate: 1.563E-04 | global batch size: 512 | lm loss: 2.149876E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.451 | TFLOPs: 42.24 | 31: iteration 11360/ 33899 | consumed samples: 5816320 | consumed tokens: 11911823360 | elapsed time per iteration (s): 1.86 | learning rate: 1.562E-04 | global batch size: 512 | lm loss: 2.140752E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.155 | TFLOPs: 41.30 | 31: iteration 11370/ 33899 | consumed samples: 5821440 | consumed tokens: 11922309120 | elapsed time per iteration 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second: 264.538 | TFLOPs: 39.71 | 31: iteration 11460/ 33899 | consumed samples: 5867520 | consumed tokens: 12016680960 | elapsed time per iteration (s): 1.78 | learning rate: 1.555E-04 | global batch size: 512 | lm loss: 2.136823E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.027 | TFLOPs: 43.23 | 31: iteration 11470/ 33899 | consumed samples: 5872640 | consumed tokens: 12027166720 | elapsed time per iteration (s): 1.82 | learning rate: 1.554E-04 | global batch size: 512 | lm loss: 2.117161E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.704 | TFLOPs: 42.13 | 31: iteration 11480/ 33899 | consumed samples: 5877760 | consumed tokens: 12037652480 | elapsed time per iteration (s): 1.86 | learning rate: 1.553E-04 | global batch size: 512 | lm loss: 2.136083E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.943 | TFLOPs: 41.27 | 31: iteration 11490/ 33899 | consumed samples: 5882880 | consumed tokens: 12048138240 | elapsed time per iteration (s): 1.80 | learning rate: 1.553E-04 | global batch size: 512 | lm loss: 2.113512E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.613 | TFLOPs: 42.72 | 31: iteration 11500/ 33899 | consumed samples: 5888000 | consumed tokens: 12058624000 | elapsed time per iteration (s): 1.87 | learning rate: 1.552E-04 | global batch size: 512 | lm loss: 2.126364E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.422 | TFLOPs: 41.04 | 31: iteration 11510/ 33899 | consumed samples: 5893120 | consumed tokens: 12069109760 | elapsed time per iteration (s): 1.92 | learning rate: 1.551E-04 | global batch size: 512 | lm loss: 2.131590E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.178 | TFLOPs: 39.95 | 31: iteration 11520/ 33899 | consumed samples: 5898240 | consumed tokens: 12079595520 | elapsed time per iteration (s): 1.81 | learning rate: 1.550E-04 | global batch size: 512 | lm loss: 2.124930E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.550 | TFLOPs: 42.56 | 31: iteration 11530/ 33899 | consumed samples: 5903360 | consumed tokens: 12090081280 | elapsed time per iteration (s): 1.84 | learning rate: 1.550E-04 | global batch size: 512 | lm loss: 2.128560E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.021 | TFLOPs: 41.73 | 31: iteration 11540/ 33899 | consumed samples: 5908480 | consumed tokens: 12100567040 | elapsed time per iteration (s): 1.84 | learning rate: 1.549E-04 | global batch size: 512 | lm loss: 2.137627E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.904 | TFLOPs: 41.86 | 31: iteration 11550/ 33899 | consumed samples: 5913600 | consumed tokens: 12111052800 | elapsed time per iteration (s): 1.85 | learning rate: 1.548E-04 | global batch size: 512 | lm loss: 2.113017E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.752 | TFLOPs: 41.54 | 31: iteration 11560/ 33899 | consumed samples: 5918720 | consumed tokens: 12121538560 | elapsed time per iteration (s): 1.83 | learning rate: 1.548E-04 | global batch size: 512 | lm loss: 2.111340E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.377 | TFLOPs: 41.93 | 31: iteration 11570/ 33899 | consumed samples: 5923840 | consumed tokens: 12132024320 | elapsed time per iteration (s): 1.93 | learning rate: 1.547E-04 | global batch size: 512 | lm loss: 2.145394E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.115 | TFLOPs: 39.79 | 31: iteration 11580/ 33899 | consumed samples: 5928960 | consumed tokens: 12142510080 | elapsed time per iteration (s): 1.81 | learning rate: 1.546E-04 | global batch size: 512 | lm loss: 2.100229E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.803 | TFLOPs: 42.45 | 31: iteration 11590/ 33899 | consumed samples: 5934080 | consumed tokens: 12152995840 | elapsed time per iteration (s): 1.81 | learning rate: 1.545E-04 | global batch size: 512 | lm loss: 2.140414E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.677 | TFLOPs: 42.43 | 31: iteration 11600/ 33899 | consumed samples: 5939200 | consumed tokens: 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| consumed samples: 5954560 | consumed tokens: 12194938880 | elapsed time per iteration (s): 1.90 | learning rate: 1.542E-04 | global batch size: 512 | lm loss: 2.131886E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.314 | TFLOPs: 40.42 | 31: iteration 11640/ 33899 | consumed samples: 5959680 | consumed tokens: 12205424640 | elapsed time per iteration (s): 1.80 | learning rate: 1.542E-04 | global batch size: 512 | lm loss: 2.137621E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.045 | TFLOPs: 42.63 | 31: iteration 11650/ 33899 | consumed samples: 5964800 | consumed tokens: 12215910400 | elapsed time per iteration (s): 1.85 | learning rate: 1.541E-04 | global batch size: 512 | lm loss: 2.136503E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.942 | TFLOPs: 41.57 | 31: iteration 11660/ 33899 | consumed samples: 5969920 | consumed tokens: 12226396160 | elapsed time per iteration (s): 1.95 | learning rate: 1.540E-04 | global batch size: 512 | lm loss: 2.135210E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.209 | TFLOPs: 39.51 | 31: iteration 11670/ 33899 | consumed samples: 5975040 | consumed tokens: 12236881920 | elapsed time per iteration (s): 1.95 | learning rate: 1.539E-04 | global batch size: 512 | lm loss: 2.126112E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.568 | TFLOPs: 39.41 | 31: iteration 11680/ 33899 | consumed samples: 5980160 | consumed tokens: 12247367680 | elapsed time per iteration (s): 1.92 | learning rate: 1.539E-04 | global batch size: 512 | lm loss: 2.135800E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.585 | TFLOPs: 40.01 | 31: iteration 11690/ 33899 | consumed samples: 5985280 | consumed tokens: 12257853440 | elapsed time per iteration (s): 1.87 | learning rate: 1.538E-04 | global batch size: 512 | lm loss: 2.130323E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.865 | TFLOPs: 41.11 | 31: iteration 11700/ 33899 | consumed samples: 5990400 | consumed tokens: 12268339200 | elapsed time per iteration (s): 1.83 | learning rate: 1.537E-04 | global batch size: 512 | lm loss: 2.113919E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.156 | TFLOPs: 42.05 | 31: iteration 11710/ 33899 | consumed samples: 5995520 | consumed tokens: 12278824960 | elapsed time per iteration (s): 2.03 | learning rate: 1.536E-04 | global batch size: 512 | lm loss: 2.128229E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 252.399 | TFLOPs: 37.88 | 31: iteration 11720/ 33899 | consumed samples: 6000640 | consumed tokens: 12289310720 | elapsed time per iteration (s): 1.90 | learning rate: 1.536E-04 | global batch size: 512 | lm loss: 2.122863E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.635 | TFLOPs: 40.47 | 31: iteration 11730/ 33899 | consumed samples: 6005760 | consumed tokens: 12299796480 | elapsed time per iteration (s): 1.88 | learning rate: 1.535E-04 | global batch size: 512 | lm loss: 2.113976E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.489 | TFLOPs: 40.90 | 31: iteration 11740/ 33899 | consumed samples: 6010880 | consumed tokens: 12310282240 | elapsed time per iteration (s): 1.84 | learning rate: 1.534E-04 | global batch size: 512 | lm loss: 2.143388E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.128 | TFLOPs: 41.75 | 31: iteration 11750/ 33899 | consumed samples: 6016000 | consumed tokens: 12320768000 | elapsed time per iteration (s): 1.85 | learning rate: 1.534E-04 | global batch size: 512 | lm loss: 2.134351E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.003 | TFLOPs: 41.58 | 31: iteration 11760/ 33899 | consumed samples: 6021120 | consumed tokens: 12331253760 | elapsed time per iteration (s): 1.84 | learning rate: 1.533E-04 | global batch size: 512 | lm loss: 2.124123E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.074 | TFLOPs: 41.74 | 31: iteration 11770/ 33899 | consumed samples: 6026240 | consumed tokens: 12341739520 | elapsed time per iteration (s): 1.82 | learning rate: 1.532E-04 | global batch size: 512 | lm loss: 2.168876E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.522 | TFLOPs: 42.25 | 31: iteration 11780/ 33899 | consumed samples: 6031360 | consumed tokens: 12352225280 | elapsed time per iteration (s): 1.80 | learning rate: 1.531E-04 | global batch size: 512 | lm loss: 2.155660E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.069 | TFLOPs: 42.79 | 31: iteration 11790/ 33899 | consumed samples: 6036480 | consumed tokens: 12362711040 | elapsed time per iteration (s): 1.83 | learning rate: 1.531E-04 | global batch size: 512 | lm loss: 2.118483E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.611 | TFLOPs: 41.97 | 31: iteration 11800/ 33899 | consumed samples: 6041600 | consumed tokens: 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| consumed samples: 6056960 | consumed tokens: 12404654080 | elapsed time per iteration (s): 1.83 | learning rate: 1.528E-04 | global batch size: 512 | lm loss: 2.106726E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.650 | TFLOPs: 41.97 | 31: iteration 11840/ 33899 | consumed samples: 6062080 | consumed tokens: 12415139840 | elapsed time per iteration (s): 1.84 | learning rate: 1.527E-04 | global batch size: 512 | lm loss: 2.118300E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.894 | TFLOPs: 41.71 | 31: iteration 11850/ 33899 | consumed samples: 6067200 | consumed tokens: 12425625600 | elapsed time per iteration (s): 1.89 | learning rate: 1.526E-04 | global batch size: 512 | lm loss: 2.132819E+00 | grad norm: 0.155 | 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: 263.236 | TFLOPs: 39.51 | 31: iteration 11920/ 33899 | consumed samples: 6103040 | consumed tokens: 12499025920 | elapsed time per iteration (s): 1.88 | learning rate: 1.521E-04 | global batch size: 512 | lm loss: 2.107421E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.859 | TFLOPs: 40.80 | 31: iteration 11930/ 33899 | consumed samples: 6108160 | consumed tokens: 12509511680 | elapsed time per iteration (s): 1.87 | learning rate: 1.520E-04 | global batch size: 512 | lm loss: 2.112611E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.963 | TFLOPs: 41.12 | 31: iteration 11940/ 33899 | consumed samples: 6113280 | consumed tokens: 12519997440 | elapsed time per iteration (s): 1.89 | learning rate: 1.519E-04 | global batch size: 512 | lm loss: 2.134023E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.731 | TFLOPs: 40.64 | 31: iteration 11950/ 33899 | consumed samples: 6118400 | consumed tokens: 12530483200 | elapsed time per iteration (s): 1.83 | learning rate: 1.519E-04 | global batch size: 512 | lm loss: 2.143162E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.071 | TFLOPs: 41.89 | 31: iteration 11960/ 33899 | consumed samples: 6123520 | consumed tokens: 12540968960 | elapsed time per iteration (s): 1.89 | learning rate: 1.518E-04 | global batch size: 512 | lm loss: 2.109112E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.512 | TFLOPs: 40.60 | 31: iteration 11970/ 33899 | consumed samples: 6128640 | consumed tokens: 12551454720 | elapsed time per iteration (s): 1.82 | 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step=12000, skipped=0, lr=[0.00015149715739720332, 0.00015149715739720332, 0.00015149715739720332], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 12000/ 33899 | consumed samples: 6144000 | consumed tokens: 12582912000 | elapsed time per iteration (s): 2.44 | learning rate: 1.515E-04 | global batch size: 512 | lm loss: 2.123212E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 209.893 | TFLOPs: 31.50 | 0: steps: 12000 loss: 2.1707 iter time (s): 1.862 samples/sec: 274.991 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 12000 | lm loss value: 2.077026E+00 | lm loss PPL: 7.980702E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 12000 to checkpoints_2b8 0: [2022-11-26 01:06:56,391] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint 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checkpoints_2b8/global_step12000/bf16_zero_pp_rank_129_mp_rank_00_optim_states.pt 16: [2022-11-26 01:07:02,894] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 13: [2022-11-26 01:07:02,895] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_105_mp_rank_00_optim_states.pt. 13: [2022-11-26 01:07:02,895] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_105_mp_rank_00_optim_states.pt 13: [2022-11-26 01:07:02,896] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 6: [2022-11-26 01:07:02,899] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-26 01:07:02,899] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-26 01:07:02,899] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 31: [2022-11-26 01:07:02,899] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_252_mp_rank_00_optim_states.pt. 30: [2022-11-26 01:07:02,899] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_240_mp_rank_00_optim_states.pt. 31: [2022-11-26 01:07:02,899] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_252_mp_rank_00_optim_states.pt 30: [2022-11-26 01:07:02,899] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_240_mp_rank_00_optim_states.pt 31: [2022-11-26 01:07:02,899] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 30: [2022-11-26 01:07:02,899] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 14: [2022-11-26 01:07:02,900] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_116_mp_rank_00_optim_states.pt. 14: [2022-11-26 01:07:02,900] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_116_mp_rank_00_optim_states.pt 14: [2022-11-26 01:07:02,900] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 8: [2022-11-26 01:07:02,901] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_70_mp_rank_00_optim_states.pt. 8: [2022-11-26 01:07:02,902] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_70_mp_rank_00_optim_states.pt 8: [2022-11-26 01:07:02,902] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 5: [2022-11-26 01:07:02,903] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-26 01:07:02,903] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step12000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-26 01:07:02,903] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 0: successfully saved checkpoint at iteration 12000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 6531.05 31: iteration 12010/ 33899 | consumed samples: 6149120 | consumed tokens: 12593397760 | elapsed time per iteration (s): 2.53 | learning rate: 1.514E-04 | global batch size: 512 | lm loss: 2.111783E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 202.595 | TFLOPs: 30.41 | 31: iteration 12020/ 33899 | consumed samples: 6154240 | consumed tokens: 12603883520 | elapsed time per iteration (s): 1.81 | learning rate: 1.513E-04 | global batch size: 512 | lm loss: 2.126264E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.420 | TFLOPs: 42.39 | 31: iteration 12030/ 33899 | consumed samples: 6159360 | consumed tokens: 12614369280 | elapsed time per iteration (s): 1.76 | learning rate: 1.513E-04 | global batch size: 512 | lm loss: 2.128843E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.715 | TFLOPs: 43.63 | 31: iteration 12040/ 33899 | consumed samples: 6164480 | consumed tokens: 12624855040 | elapsed time per iteration (s): 1.82 | learning rate: 1.512E-04 | global batch size: 512 | lm loss: 2.124076E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.877 | TFLOPs: 42.16 | 31: iteration 12050/ 33899 | consumed samples: 6169600 | consumed tokens: 12635340800 | elapsed time per iteration (s): 1.88 | learning rate: 1.511E-04 | global batch size: 512 | lm loss: 2.103174E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.879 | TFLOPs: 40.96 | 31: iteration 12060/ 33899 | consumed samples: 6174720 | consumed tokens: 12645826560 | elapsed time per iteration (s): 1.83 | learning rate: 1.510E-04 | global batch size: 512 | lm loss: 2.130215E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.261 | TFLOPs: 42.07 | 31: iteration 12070/ 33899 | consumed samples: 6179840 | consumed tokens: 12656312320 | elapsed time per iteration (s): 1.81 | learning rate: 1.510E-04 | global batch size: 512 | lm loss: 2.109648E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.863 | TFLOPs: 42.46 | 31: iteration 12080/ 33899 | consumed samples: 6184960 | consumed tokens: 12666798080 | elapsed time per iteration (s): 1.82 | learning rate: 1.509E-04 | global batch size: 512 | lm loss: 2.125135E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.674 | TFLOPs: 42.28 | 31: iteration 12090/ 33899 | consumed samples: 6190080 | consumed tokens: 12677283840 | elapsed time per iteration (s): 1.87 | learning rate: 1.508E-04 | global batch size: 512 | lm loss: 2.119717E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.146 | TFLOPs: 41.00 | 31: iteration 12100/ 33899 | consumed samples: 6195200 | consumed tokens: 12687769600 | elapsed time per iteration (s): 1.88 | learning rate: 1.507E-04 | global batch size: 512 | lm loss: 2.123594E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.810 | TFLOPs: 40.80 | 31: iteration 12110/ 33899 | consumed samples: 6200320 | consumed tokens: 12698255360 | elapsed time per iteration (s): 1.89 | learning rate: 1.507E-04 | global batch size: 512 | lm loss: 2.105379E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.178 | TFLOPs: 40.70 | 31: iteration 12120/ 33899 | consumed samples: 6205440 | consumed tokens: 12708741120 | elapsed time per iteration (s): 1.85 | learning rate: 1.506E-04 | global batch size: 512 | lm loss: 2.114335E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.173 | TFLOPs: 41.60 | 31: iteration 12130/ 33899 | consumed samples: 6210560 | consumed tokens: 12719226880 | elapsed time per iteration (s): 1.89 | learning rate: 1.505E-04 | global batch size: 512 | lm loss: 2.119465E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.548 | TFLOPs: 40.61 | 31: iteration 12140/ 33899 | consumed samples: 6215680 | consumed tokens: 12729712640 | elapsed time per iteration (s): 1.85 | learning rate: 1.504E-04 | global batch size: 512 | lm loss: 2.129281E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.977 | TFLOPs: 41.57 | 31: iteration 12150/ 33899 | consumed samples: 6220800 | consumed tokens: 12740198400 | elapsed time per iteration (s): 1.84 | learning rate: 1.504E-04 | global batch size: 512 | lm loss: 2.099045E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.672 | TFLOPs: 41.68 | 31: iteration 12160/ 33899 | consumed samples: 6225920 | consumed tokens: 12750684160 | elapsed time per iteration (s): 1.89 | learning rate: 1.503E-04 | global batch size: 512 | lm loss: 2.112099E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.429 | TFLOPs: 40.74 | 31: iteration 12170/ 33899 | consumed samples: 6231040 | consumed tokens: 12761169920 | elapsed time per iteration (s): 1.88 | learning rate: 1.502E-04 | global batch size: 512 | lm loss: 2.121847E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.831 | TFLOPs: 40.95 | 31: iteration 12180/ 33899 | consumed samples: 6236160 | consumed tokens: 12771655680 | elapsed time per iteration (s): 1.91 | learning rate: 1.501E-04 | global batch size: 512 | lm loss: 2.116560E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.516 | TFLOPs: 40.15 | 31: iteration 12190/ 33899 | consumed samples: 6241280 | consumed tokens: 12782141440 | elapsed time per iteration (s): 1.80 | learning rate: 1.501E-04 | global batch size: 512 | lm loss: 2.105948E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.066 | TFLOPs: 42.64 | 31: iteration 12200/ 33899 | consumed samples: 6246400 | consumed tokens: 12792627200 | elapsed time per iteration (s): 1.81 | learning rate: 1.500E-04 | global batch size: 512 | lm loss: 2.113643E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.410 | TFLOPs: 42.54 | 31: iteration 12210/ 33899 | consumed samples: 6251520 | consumed tokens: 12803112960 | elapsed time per iteration (s): 1.85 | learning rate: 1.499E-04 | global batch size: 512 | lm loss: 2.128489E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.083 | TFLOPs: 41.59 | 31: iteration 12220/ 33899 | consumed samples: 6256640 | consumed tokens: 12813598720 | elapsed time per iteration (s): 1.83 | learning rate: 1.498E-04 | global batch size: 512 | lm loss: 2.126891E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.847 | TFLOPs: 42.00 | 31: iteration 12230/ 33899 | consumed samples: 6261760 | consumed tokens: 12824084480 | elapsed time per iteration (s): 1.88 | learning rate: 1.498E-04 | global batch size: 512 | lm loss: 2.119627E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.900 | TFLOPs: 40.96 | 31: iteration 12240/ 33899 | consumed samples: 6266880 | consumed tokens: 12834570240 | elapsed time per iteration (s): 1.76 | learning rate: 1.497E-04 | global batch size: 512 | lm loss: 2.120781E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.538 | TFLOPs: 43.61 | 31: iteration 12250/ 33899 | consumed samples: 6272000 | consumed tokens: 12845056000 | elapsed time per iteration (s): 1.86 | learning rate: 1.496E-04 | global batch size: 512 | lm loss: 2.124486E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.340 | TFLOPs: 41.33 | 31: iteration 12260/ 33899 | consumed samples: 6277120 | consumed tokens: 12855541760 | elapsed time per iteration (s): 1.85 | learning rate: 1.495E-04 | global batch size: 512 | lm loss: 2.147232E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.956 | TFLOPs: 41.57 | 31: iteration 12270/ 33899 | consumed samples: 6282240 | consumed tokens: 12866027520 | elapsed time per iteration (s): 1.82 | learning rate: 1.495E-04 | global batch size: 512 | lm loss: 2.129652E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.933 | TFLOPs: 42.17 | 31: iteration 12280/ 33899 | consumed samples: 6287360 | consumed tokens: 12876513280 | elapsed time per iteration (s): 1.84 | learning rate: 1.494E-04 | global batch size: 512 | lm loss: 2.123657E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.721 | TFLOPs: 41.83 | 31: iteration 12290/ 33899 | consumed samples: 6292480 | consumed tokens: 12886999040 | elapsed time per iteration (s): 1.81 | learning rate: 1.493E-04 | global batch size: 512 | lm loss: 2.142981E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.392 | TFLOPs: 42.54 | 31: iteration 12300/ 33899 | consumed samples: 6297600 | consumed tokens: 12897484800 | elapsed time per iteration (s): 1.86 | learning rate: 1.492E-04 | global batch size: 512 | lm loss: 2.095250E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.965 | TFLOPs: 41.27 | 31: iteration 12310/ 33899 | consumed samples: 6302720 | consumed tokens: 12907970560 | elapsed time per iteration (s): 1.82 | learning rate: 1.492E-04 | global batch size: 512 | lm loss: 2.137495E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.429 | TFLOPs: 42.24 | 31: iteration 12320/ 33899 | consumed samples: 6307840 | consumed tokens: 12918456320 | elapsed time per iteration (s): 1.97 | learning rate: 1.491E-04 | global batch size: 512 | lm loss: 2.127578E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.463 | TFLOPs: 38.94 | 31: iteration 12330/ 33899 | consumed samples: 6312960 | consumed tokens: 12928942080 | elapsed time per iteration (s): 1.85 | learning rate: 1.490E-04 | global batch size: 512 | lm loss: 2.127179E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.176 | TFLOPs: 41.60 | 31: iteration 12340/ 33899 | consumed samples: 6318080 | consumed tokens: 12939427840 | elapsed time per iteration (s): 1.85 | learning rate: 1.489E-04 | global batch size: 512 | lm loss: 2.119977E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.037 | TFLOPs: 41.43 | 31: iteration 12350/ 33899 | consumed samples: 6323200 | consumed tokens: 12949913600 | elapsed time per iteration (s): 1.82 | learning rate: 1.489E-04 | global batch size: 512 | lm loss: 2.142374E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.298 | TFLOPs: 42.22 | 31: iteration 12360/ 33899 | consumed samples: 6328320 | consumed tokens: 12960399360 | elapsed time per iteration (s): 1.82 | learning rate: 1.488E-04 | global batch size: 512 | lm loss: 2.093385E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.507 | TFLOPs: 42.25 | 31: iteration 12370/ 33899 | consumed samples: 6333440 | consumed tokens: 12970885120 | elapsed time per iteration (s): 1.84 | learning rate: 1.487E-04 | global batch size: 512 | lm loss: 2.104647E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.807 | TFLOPs: 41.70 | 31: iteration 12380/ 33899 | consumed samples: 6338560 | consumed tokens: 12981370880 | elapsed time per iteration (s): 1.89 | learning rate: 1.486E-04 | global batch size: 512 | lm loss: 2.096414E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.790 | TFLOPs: 40.64 | 31: iteration 12390/ 33899 | consumed samples: 6343680 | consumed tokens: 12991856640 | elapsed time per iteration (s): 1.84 | learning rate: 1.486E-04 | global batch size: 512 | lm loss: 2.120843E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.820 | TFLOPs: 41.85 | 31: iteration 12400/ 33899 | consumed samples: 6348800 | consumed tokens: 13002342400 | elapsed time per iteration (s): 1.86 | learning rate: 1.485E-04 | global batch size: 512 | lm loss: 2.116962E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.377 | TFLOPs: 41.33 | 31: iteration 12410/ 33899 | consumed samples: 6353920 | consumed tokens: 13012828160 | elapsed time per iteration (s): 1.84 | learning rate: 1.484E-04 | global batch size: 512 | lm loss: 2.129908E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.583 | TFLOPs: 41.81 | 31: iteration 12420/ 33899 | consumed samples: 6359040 | consumed tokens: 13023313920 | elapsed time per iteration (s): 1.85 | learning rate: 1.483E-04 | global batch size: 512 | lm loss: 2.112001E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.166 | TFLOPs: 41.60 | 31: iteration 12430/ 33899 | consumed samples: 6364160 | consumed tokens: 13033799680 | elapsed time per iteration (s): 1.81 | learning rate: 1.482E-04 | global batch size: 512 | lm loss: 2.099380E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.940 | TFLOPs: 42.47 | 31: iteration 12440/ 33899 | consumed samples: 6369280 | consumed tokens: 13044285440 | elapsed time per iteration (s): 2.35 | learning rate: 1.482E-04 | global batch size: 512 | lm loss: 2.109172E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 217.534 | TFLOPs: 32.65 | 31: iteration 12450/ 33899 | consumed samples: 6374400 | consumed tokens: 13054771200 | elapsed time per iteration (s): 1.90 | learning rate: 1.481E-04 | global batch size: 512 | lm loss: 2.103449E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.067 | TFLOPs: 40.54 | 31: iteration 12460/ 33899 | consumed samples: 6379520 | consumed tokens: 13065256960 | elapsed time per iteration (s): 1.80 | learning rate: 1.480E-04 | global batch size: 512 | lm loss: 2.101077E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.934 | TFLOPs: 42.62 | 31: iteration 12470/ 33899 | consumed samples: 6384640 | consumed tokens: 13075742720 | elapsed time per iteration (s): 1.79 | learning rate: 1.479E-04 | global batch size: 512 | lm loss: 2.106954E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.340 | TFLOPs: 42.98 | 31: iteration 12480/ 33899 | consumed samples: 6389760 | consumed tokens: 13086228480 | elapsed time per iteration (s): 1.83 | learning rate: 1.479E-04 | global batch size: 512 | lm loss: 2.106107E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.841 | TFLOPs: 42.00 | 31: iteration 12490/ 33899 | consumed samples: 6394880 | consumed tokens: 13096714240 | elapsed time per iteration (s): 1.89 | learning rate: 1.478E-04 | global batch size: 512 | lm loss: 2.092700E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.720 | TFLOPs: 40.63 | 31: iteration 12500/ 33899 | consumed samples: 6400000 | consumed tokens: 13107200000 | elapsed time per iteration (s): 1.87 | learning rate: 1.477E-04 | global batch size: 512 | lm loss: 2.110661E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.313 | TFLOPs: 41.17 | 31: iteration 12510/ 33899 | consumed samples: 6405120 | consumed tokens: 13117685760 | elapsed time per iteration (s): 1.83 | learning rate: 1.476E-04 | global batch size: 512 | lm loss: 2.102121E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.393 | TFLOPs: 42.09 | 31: iteration 12520/ 33899 | consumed samples: 6410240 | consumed tokens: 13128171520 | elapsed time per iteration (s): 1.86 | learning rate: 1.476E-04 | global batch size: 512 | lm loss: 2.116220E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.657 | TFLOPs: 41.22 | 31: iteration 12530/ 33899 | consumed samples: 6415360 | consumed tokens: 13138657280 | elapsed time per iteration (s): 1.88 | learning rate: 1.475E-04 | global batch size: 512 | lm loss: 2.124096E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.361 | TFLOPs: 40.88 | 31: iteration 12540/ 33899 | consumed samples: 6420480 | consumed tokens: 13149143040 | elapsed time per iteration (s): 1.83 | learning rate: 1.474E-04 | global batch size: 512 | lm loss: 2.115786E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.479 | TFLOPs: 42.10 | 31: iteration 12550/ 33899 | consumed samples: 6425600 | consumed tokens: 13159628800 | elapsed time per iteration (s): 1.80 | learning rate: 1.473E-04 | global batch size: 512 | lm loss: 2.115660E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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| consumed samples: 6620160 | consumed tokens: 13558087680 | elapsed time per iteration (s): 1.90 | learning rate: 1.444E-04 | global batch size: 512 | lm loss: 2.122269E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.190 | TFLOPs: 40.40 | 31: iteration 12940/ 33899 | consumed samples: 6625280 | consumed tokens: 13568573440 | elapsed time per iteration (s): 1.84 | learning rate: 1.443E-04 | global batch size: 512 | lm loss: 2.096333E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.621 | TFLOPs: 41.82 | 31: iteration 12950/ 33899 | consumed samples: 6630400 | consumed tokens: 13579059200 | elapsed time per iteration (s): 1.81 | learning rate: 1.442E-04 | global batch size: 512 | lm loss: 2.104375E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.576 | TFLOPs: 42.41 | 31: iteration 12960/ 33899 | consumed samples: 6635520 | consumed tokens: 13589544960 | elapsed time per iteration (s): 1.81 | learning rate: 1.442E-04 | global batch size: 512 | lm loss: 2.106759E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.308 | TFLOPs: 42.52 | 31: iteration 12970/ 33899 | consumed samples: 6640640 | consumed tokens: 13600030720 | elapsed time per iteration (s): 1.85 | learning rate: 1.441E-04 | global batch size: 512 | lm loss: 2.105203E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.137 | TFLOPs: 41.45 | 31: iteration 12980/ 33899 | consumed samples: 6645760 | consumed tokens: 13610516480 | elapsed time per iteration (s): 1.87 | learning rate: 1.440E-04 | global batch size: 512 | lm loss: 2.107928E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.228 | TFLOPs: 41.01 | 31: iteration 12990/ 33899 | consumed samples: 6650880 | consumed tokens: 13621002240 | elapsed time per iteration (s): 1.80 | learning rate: 1.439E-04 | global batch size: 512 | lm loss: 2.103216E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.945 | TFLOPs: 42.77 | 31: iteration 13000/ 33899 | consumed samples: 6656000 | consumed tokens: 13631488000 | elapsed time per iteration (s): 2.17 | learning rate: 1.439E-04 | global batch size: 512 | lm loss: 2.123025E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 236.375 | TFLOPs: 35.48 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 13000 | lm loss value: 2.049798E+00 | lm loss PPL: 7.766334E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 13000 to checkpoints_2b8 0: [2022-11-26 01:37:51,142] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step13000 is begin to save! 0: [2022-11-26 01:37:51,158] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step13000/layer_01-model_00-model_states.pt... 0: [2022-11-26 01:37:51,467] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step13000/layer_01-model_00-model_states.pt. 0: [2022-11-26 01:37:51,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step13000/layer_03-model_00-model_states.pt... 0: [2022-11-26 01:37:51,630] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step13000/layer_03-model_00-model_states.pt. 0: [2022-11-26 01:37:51,631] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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2.100328E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 204.388 | TFLOPs: 30.68 | 31: iteration 13020/ 33899 | consumed samples: 6666240 | consumed tokens: 13652459520 | elapsed time per iteration (s): 1.81 | learning rate: 1.437E-04 | global batch size: 512 | lm loss: 2.112960E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.413 | TFLOPs: 42.54 | 31: iteration 13030/ 33899 | consumed samples: 6671360 | consumed tokens: 13662945280 | elapsed time per iteration (s): 1.82 | learning rate: 1.436E-04 | global batch size: 512 | lm loss: 2.120414E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.882 | TFLOPs: 42.31 | 31: iteration 13040/ 33899 | consumed samples: 6676480 | consumed tokens: 13673431040 | elapsed time per iteration (s): 1.90 | learning rate: 1.435E-04 | global batch size: 512 | lm loss: 2.102931E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.027 | TFLOPs: 40.38 | 31: iteration 13050/ 33899 | consumed samples: 6681600 | consumed tokens: 13683916800 | elapsed time per iteration (s): 1.87 | learning rate: 1.435E-04 | global batch size: 512 | lm loss: 2.099220E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.978 | TFLOPs: 41.12 | 31: iteration 13060/ 33899 | consumed samples: 6686720 | consumed tokens: 13694402560 | elapsed time per iteration (s): 1.84 | learning rate: 1.434E-04 | global batch size: 512 | lm loss: 2.105827E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.016 | TFLOPs: 41.88 | 31: iteration 13070/ 33899 | consumed samples: 6691840 | consumed tokens: 13704888320 | elapsed time per iteration (s): 1.78 | learning rate: 1.433E-04 | global batch size: 512 | lm loss: 2.097349E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.005 | TFLOPs: 43.23 | 31: iteration 13080/ 33899 | consumed samples: 6696960 | consumed tokens: 13715374080 | elapsed time per iteration (s): 1.86 | learning rate: 1.432E-04 | global batch size: 512 | lm loss: 2.079147E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.008 | TFLOPs: 41.43 | 31: iteration 13090/ 33899 | consumed samples: 6702080 | consumed tokens: 13725859840 | elapsed time per iteration (s): 1.86 | learning rate: 1.431E-04 | global batch size: 512 | lm loss: 2.098734E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.148 | TFLOPs: 41.30 | 31: iteration 13100/ 33899 | consumed samples: 6707200 | consumed tokens: 13736345600 | elapsed time per iteration (s): 1.80 | learning rate: 1.431E-04 | global batch size: 512 | lm loss: 2.105431E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.143 | TFLOPs: 42.65 | 31: iteration 13110/ 33899 | consumed samples: 6712320 | consumed tokens: 13746831360 | elapsed time per iteration (s): 1.95 | learning rate: 1.430E-04 | global batch size: 512 | lm loss: 2.117911E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.830 | TFLOPs: 39.45 | 31: iteration 13120/ 33899 | consumed samples: 6717440 | consumed tokens: 13757317120 | elapsed time per iteration (s): 1.85 | learning rate: 1.429E-04 | global batch size: 512 | lm loss: 2.090230E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.668 | TFLOPs: 41.53 | 31: iteration 13130/ 33899 | consumed samples: 6722560 | consumed tokens: 13767802880 | elapsed time per iteration (s): 1.82 | learning rate: 1.428E-04 | global batch size: 512 | lm loss: 2.090380E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.751 | TFLOPs: 42.14 | 31: iteration 13140/ 33899 | consumed samples: 6727680 | consumed tokens: 13778288640 | elapsed time per iteration (s): 1.85 | learning rate: 1.428E-04 | global batch size: 512 | lm loss: 2.097992E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.787 | TFLOPs: 41.54 | 31: iteration 13150/ 33899 | consumed samples: 6732800 | consumed tokens: 13788774400 | elapsed time per iteration (s): 1.86 | learning rate: 1.427E-04 | global batch size: 512 | lm loss: 2.113182E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.599 | TFLOPs: 41.22 | 31: iteration 13160/ 33899 | consumed samples: 6737920 | consumed tokens: 13799260160 | elapsed time per iteration (s): 1.96 | learning rate: 1.426E-04 | global batch size: 512 | lm loss: 2.111324E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.471 | TFLOPs: 39.25 | 31: iteration 13170/ 33899 | consumed samples: 6743040 | consumed tokens: 13809745920 | elapsed time per iteration (s): 2.03 | learning rate: 1.425E-04 | global batch size: 512 | lm loss: 2.127463E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 252.237 | TFLOPs: 37.86 | 31: iteration 13180/ 33899 | consumed samples: 6748160 | consumed tokens: 13820231680 | elapsed time per iteration (s): 1.87 | learning rate: 1.424E-04 | global batch size: 512 | lm loss: 2.085785E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.109 | TFLOPs: 41.14 | 31: iteration 13190/ 33899 | consumed samples: 6753280 | consumed tokens: 13830717440 | elapsed time per iteration (s): 1.92 | learning rate: 1.424E-04 | global batch size: 512 | lm loss: 2.114257E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.587 | TFLOPs: 40.01 | 31: iteration 13200/ 33899 | consumed samples: 6758400 | consumed tokens: 13841203200 | elapsed time per iteration (s): 1.95 | learning rate: 1.423E-04 | global batch size: 512 | lm loss: 2.109286E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.030 | TFLOPs: 39.48 | 31: iteration 13210/ 33899 | consumed samples: 6763520 | consumed tokens: 13851688960 | elapsed time per iteration (s): 1.88 | learning rate: 1.422E-04 | global batch size: 512 | lm loss: 2.108298E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.954 | TFLOPs: 40.97 | 31: iteration 13220/ 33899 | consumed samples: 6768640 | consumed tokens: 13862174720 | elapsed time per iteration (s): 1.87 | learning rate: 1.421E-04 | global batch size: 512 | lm loss: 2.106254E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.662 | TFLOPs: 41.08 | 31: iteration 13230/ 33899 | consumed samples: 6773760 | consumed tokens: 13872660480 | elapsed time per iteration (s): 1.90 | learning rate: 1.420E-04 | global batch size: 512 | lm loss: 2.097907E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.699 | TFLOPs: 40.48 | 31: iteration 13240/ 33899 | consumed samples: 6778880 | consumed tokens: 13883146240 | elapsed time per iteration (s): 1.89 | learning rate: 1.420E-04 | global batch size: 512 | lm loss: 2.088836E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.923 | TFLOPs: 40.66 | 31: iteration 13250/ 33899 | consumed samples: 6784000 | consumed tokens: 13893632000 | elapsed time per iteration (s): 1.83 | learning rate: 1.419E-04 | global batch size: 512 | lm loss: 2.094604E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.397 | TFLOPs: 42.09 | 31: iteration 13260/ 33899 | consumed samples: 6789120 | consumed tokens: 13904117760 | elapsed time per iteration (s): 1.84 | learning rate: 1.418E-04 | global batch size: 512 | lm loss: 2.107131E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.951 | TFLOPs: 41.72 | 31: iteration 13270/ 33899 | consumed samples: 6794240 | consumed tokens: 13914603520 | elapsed time per iteration 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0 | number of nan iterations: 0 | samples per second: 278.249 | TFLOPs: 41.76 | 31: iteration 13390/ 33899 | consumed samples: 6855680 | consumed tokens: 14040432640 | elapsed time per iteration (s): 1.82 | learning rate: 1.408E-04 | global batch size: 512 | lm loss: 2.112516E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.961 | TFLOPs: 42.32 | 31: iteration 13400/ 33899 | consumed samples: 6860800 | consumed tokens: 14050918400 | elapsed time per iteration (s): 1.75 | learning rate: 1.407E-04 | global batch size: 512 | lm loss: 2.088070E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.828 | TFLOPs: 43.80 | 31: iteration 13410/ 33899 | consumed samples: 6865920 | consumed tokens: 14061404160 | elapsed time per iteration (s): 1.85 | learning rate: 1.406E-04 | global batch size: 512 | lm loss: 2.082750E+00 | grad norm: 0.140 | 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512 | lm loss: 2.094107E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.345 | TFLOPs: 42.53 | 31: iteration 13450/ 33899 | consumed samples: 6886400 | consumed tokens: 14103347200 | elapsed time per iteration (s): 1.77 | learning rate: 1.403E-04 | global batch size: 512 | lm loss: 2.097426E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.596 | TFLOPs: 43.32 | 31: iteration 13460/ 33899 | consumed samples: 6891520 | consumed tokens: 14113832960 | elapsed time per iteration (s): 1.84 | learning rate: 1.402E-04 | global batch size: 512 | lm loss: 2.088116E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.781 | TFLOPs: 41.84 | 31: iteration 13470/ 33899 | consumed samples: 6896640 | consumed tokens: 14124318720 | elapsed time per iteration (s): 1.81 | 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| consumed samples: 6927360 | consumed tokens: 14187233280 | elapsed time per iteration (s): 1.85 | learning rate: 1.397E-04 | global batch size: 512 | lm loss: 2.118017E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.444 | TFLOPs: 41.49 | 31: iteration 13540/ 33899 | consumed samples: 6932480 | consumed tokens: 14197719040 | elapsed time per iteration (s): 1.87 | learning rate: 1.396E-04 | global batch size: 512 | lm loss: 2.087885E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.204 | TFLOPs: 41.01 | 31: iteration 13550/ 33899 | consumed samples: 6937600 | consumed tokens: 14208204800 | elapsed time per iteration (s): 1.83 | learning rate: 1.395E-04 | global batch size: 512 | lm loss: 2.086670E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.499 | TFLOPs: 42.10 | 31: iteration 13560/ 33899 | consumed samples: 6942720 | consumed tokens: 14218690560 | elapsed time per iteration (s): 1.79 | learning rate: 1.394E-04 | global batch size: 512 | lm loss: 2.098282E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.272 | TFLOPs: 42.82 | 31: iteration 13570/ 33899 | consumed samples: 6947840 | consumed tokens: 14229176320 | elapsed time per iteration (s): 1.77 | learning rate: 1.394E-04 | global batch size: 512 | lm loss: 2.081483E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.745 | TFLOPs: 43.49 | 31: iteration 13580/ 33899 | consumed samples: 6952960 | consumed tokens: 14239662080 | elapsed time per iteration (s): 1.83 | learning rate: 1.393E-04 | global batch size: 512 | lm loss: 2.104910E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.493 | TFLOPs: 41.95 | 31: iteration 13590/ 33899 | consumed samples: 6958080 | consumed tokens: 14250147840 | elapsed time per iteration (s): 1.84 | learning rate: 1.392E-04 | global batch size: 512 | lm loss: 2.089171E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.009 | TFLOPs: 41.73 | 31: iteration 13600/ 33899 | consumed samples: 6963200 | consumed tokens: 14260633600 | elapsed time per iteration (s): 1.87 | learning rate: 1.391E-04 | global batch size: 512 | lm loss: 2.097737E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.330 | TFLOPs: 41.18 | 31: iteration 13610/ 33899 | consumed samples: 6968320 | consumed tokens: 14271119360 | elapsed time per iteration (s): 1.85 | learning rate: 1.390E-04 | global batch size: 512 | lm loss: 2.096439E+00 | grad norm: 0.142 | num 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lm loss: 2.085545E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.496 | TFLOPs: 43.15 | 31: iteration 13650/ 33899 | consumed samples: 6988800 | consumed tokens: 14313062400 | elapsed time per iteration (s): 1.77 | learning rate: 1.387E-04 | global batch size: 512 | lm loss: 2.098860E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.699 | TFLOPs: 43.33 | 31: iteration 13660/ 33899 | consumed samples: 6993920 | consumed tokens: 14323548160 | elapsed time per iteration (s): 2.01 | learning rate: 1.386E-04 | global batch size: 512 | lm loss: 2.100782E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 254.899 | TFLOPs: 38.26 | 31: iteration 13670/ 33899 | consumed samples: 6999040 | consumed tokens: 14334033920 | elapsed time per iteration (s): 1.85 | 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| consumed samples: 7029760 | consumed tokens: 14396948480 | elapsed time per iteration (s): 1.79 | learning rate: 1.381E-04 | global batch size: 512 | lm loss: 2.099236E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.711 | TFLOPs: 43.03 | 31: iteration 13740/ 33899 | consumed samples: 7034880 | consumed tokens: 14407434240 | elapsed time per iteration (s): 1.80 | learning rate: 1.380E-04 | global batch size: 512 | lm loss: 2.089685E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.253 | TFLOPs: 42.66 | 31: iteration 13750/ 33899 | consumed samples: 7040000 | consumed tokens: 14417920000 | elapsed time per iteration (s): 20.24 | learning rate: 1.379E-04 | global batch size: 512 | lm loss: 2.105145E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 25.296 | TFLOPs: 3.80 | 31: iteration 13760/ 33899 | consumed samples: 7045120 | consumed tokens: 14428405760 | elapsed time per iteration (s): 1.86 | learning rate: 1.378E-04 | global batch size: 512 | lm loss: 2.094289E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.138 | TFLOPs: 41.30 | 31: iteration 13770/ 33899 | consumed samples: 7050240 | consumed tokens: 14438891520 | elapsed time per iteration (s): 1.89 | learning rate: 1.378E-04 | global batch size: 512 | lm loss: 2.089024E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.116 | TFLOPs: 40.69 | 31: iteration 13780/ 33899 | consumed samples: 7055360 | consumed tokens: 14449377280 | elapsed time per iteration (s): 1.82 | learning rate: 1.377E-04 | global batch size: 512 | lm loss: 2.089537E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | 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lm loss: 2.102547E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.582 | TFLOPs: 41.36 | 31: iteration 13850/ 33899 | consumed samples: 7091200 | consumed tokens: 14522777600 | elapsed time per iteration (s): 1.76 | learning rate: 1.371E-04 | global batch size: 512 | lm loss: 2.094867E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.200 | TFLOPs: 43.56 | 31: iteration 13860/ 33899 | consumed samples: 7096320 | consumed tokens: 14533263360 | elapsed time per iteration (s): 1.82 | learning rate: 1.370E-04 | global batch size: 512 | lm loss: 2.114159E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.317 | TFLOPs: 42.22 | 31: iteration 13870/ 33899 | consumed samples: 7101440 | consumed tokens: 14543749120 | elapsed time per iteration (s): 1.79 | learning rate: 1.370E-04 | global batch size: 512 | lm loss: 2.093475E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.894 | TFLOPs: 42.91 | 31: iteration 13880/ 33899 | consumed samples: 7106560 | consumed tokens: 14554234880 | elapsed time per iteration (s): 1.77 | learning rate: 1.369E-04 | global batch size: 512 | lm loss: 2.104424E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.094 | TFLOPs: 43.39 | 31: iteration 13890/ 33899 | consumed samples: 7111680 | consumed tokens: 14564720640 | elapsed time per iteration (s): 1.90 | learning rate: 1.368E-04 | global batch size: 512 | lm loss: 2.097898E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.287 | TFLOPs: 40.42 | 31: iteration 13900/ 33899 | consumed samples: 7116800 | consumed tokens: 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| consumed samples: 7132160 | consumed tokens: 14606663680 | elapsed time per iteration (s): 1.80 | learning rate: 1.365E-04 | global batch size: 512 | lm loss: 2.113243E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.537 | TFLOPs: 42.71 | 31: iteration 13940/ 33899 | consumed samples: 7137280 | consumed tokens: 14617149440 | elapsed time per iteration (s): 1.85 | learning rate: 1.364E-04 | global batch size: 512 | lm loss: 2.096171E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.455 | TFLOPs: 41.49 | 31: iteration 13950/ 33899 | consumed samples: 7142400 | consumed tokens: 14627635200 | elapsed time per iteration (s): 1.80 | learning rate: 1.363E-04 | global batch size: 512 | lm loss: 2.059594E+00 | grad norm: 0.130 | 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: 270.384 | TFLOPs: 40.58 | 31: iteration 13990/ 33899 | consumed samples: 7162880 | consumed tokens: 14669578240 | elapsed time per iteration (s): 1.89 | learning rate: 1.360E-04 | global batch size: 512 | lm loss: 4.484171E+00 | grad norm: 18.690 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.651 | TFLOPs: 40.62 | 0: [2022-11-26 02:11:41,983] [INFO] [logging.py:68:log_dist] [Rank 0] step=14000, skipped=0, lr=[0.00013590741599882339, 0.00013590741599882339, 0.00013590741599882339], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 14000/ 33899 | consumed samples: 7168000 | consumed tokens: 14680064000 | elapsed time per iteration (s): 1.83 | learning rate: 1.359E-04 | global batch size: 512 | lm loss: 3.695399E+00 | grad norm: 7.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.557 | TFLOPs: 41.96 | 0: steps: 14000 loss: 3.2324 iter time (s): 1.932 samples/sec: 264.944 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 14000 | lm loss value: 2.964636E+00 | lm loss PPL: 1.938765E+01 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 14000 to checkpoints_2b8 0: [2022-11-26 02:11:42,587] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step14000 is begin to save! 0: [2022-11-26 02:11:42,600] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step14000/layer_01-model_00-model_states.pt... 0: [2022-11-26 02:11:42,916] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step14000/layer_01-model_00-model_states.pt. 0: [2022-11-26 02:11:42,916] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[Torch] Saved checkpoints_2b8/global_step14000/bf16_zero_pp_rank_90_mp_rank_00_optim_states.pt. 11: [2022-11-26 02:11:49,278] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step14000/bf16_zero_pp_rank_90_mp_rank_00_optim_states.pt 11: [2022-11-26 02:11:49,278] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 2: [2022-11-26 02:11:49,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step14000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2022-11-26 02:11:49,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step14000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-26 02:11:49,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 25: [2022-11-26 02:11:49,283] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step14000/bf16_zero_pp_rank_207_mp_rank_00_optim_states.pt. 25: [2022-11-26 02:11:49,283] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step14000/bf16_zero_pp_rank_207_mp_rank_00_optim_states.pt 25: [2022-11-26 02:11:49,283] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 2: [2022-11-26 02:11:49,283] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step14000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2022-11-26 02:11:49,283] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step14000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-26 02:11:49,283] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 4: [2022-11-26 02:11:49,284] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step14000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-26 02:11:49,284] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step14000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-26 02:11:49,284] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 0: successfully saved checkpoint at iteration 14000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 6715.02 31: iteration 14010/ 33899 | consumed samples: 7173120 | consumed tokens: 14690549760 | elapsed time per iteration (s): 2.55 | learning rate: 1.358E-04 | global batch size: 512 | lm loss: 2.631780E+00 | grad norm: 1.708 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 201.167 | TFLOPs: 30.19 | 31: iteration 14020/ 33899 | consumed samples: 7178240 | consumed tokens: 14701035520 | elapsed time per iteration (s): 1.81 | learning rate: 1.357E-04 | global batch size: 512 | lm loss: 2.379582E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.538 | TFLOPs: 42.41 | 31: iteration 14030/ 33899 | consumed samples: 7183360 | consumed tokens: 14711521280 | elapsed time per iteration (s): 1.86 | learning rate: 1.357E-04 | global batch size: 512 | lm loss: 2.225286E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.762 | TFLOPs: 41.39 | 31: iteration 14040/ 33899 | consumed samples: 7188480 | consumed tokens: 14722007040 | elapsed time per iteration (s): 1.82 | learning rate: 1.356E-04 | global batch size: 512 | lm loss: 2.193486E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.562 | TFLOPs: 42.11 | 31: iteration 14050/ 33899 | consumed samples: 7193600 | consumed tokens: 14732492800 | elapsed time per iteration (s): 1.85 | learning rate: 1.355E-04 | global batch size: 512 | lm loss: 2.164597E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.307 | TFLOPs: 41.62 | 31: iteration 14060/ 33899 | consumed samples: 7198720 | consumed tokens: 14742978560 | elapsed time per iteration (s): 1.88 | learning rate: 1.354E-04 | global batch size: 512 | lm loss: 2.138577E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.346 | TFLOPs: 40.88 | 31: iteration 14070/ 33899 | consumed samples: 7203840 | consumed tokens: 14753464320 | elapsed time per iteration (s): 1.84 | learning rate: 1.353E-04 | global batch size: 512 | lm loss: 2.149296E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.705 | TFLOPs: 41.83 | 31: iteration 14080/ 33899 | consumed samples: 7208960 | consumed tokens: 14763950080 | elapsed time per iteration (s): 1.81 | learning rate: 1.353E-04 | global batch size: 512 | lm loss: 2.116672E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.697 | TFLOPs: 42.43 | 31: iteration 14090/ 33899 | consumed samples: 7214080 | consumed tokens: 14774435840 | elapsed time per iteration (s): 1.87 | learning rate: 1.352E-04 | global batch size: 512 | lm loss: 2.106009E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.688 | TFLOPs: 41.08 | 31: iteration 14100/ 33899 | consumed samples: 7219200 | consumed tokens: 14784921600 | elapsed time per iteration (s): 1.98 | learning rate: 1.351E-04 | global batch size: 512 | lm loss: 2.102260E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.063 | TFLOPs: 38.88 | 31: iteration 14110/ 33899 | consumed samples: 7224320 | consumed tokens: 14795407360 | elapsed time per iteration (s): 1.81 | learning rate: 1.350E-04 | global batch size: 512 | lm loss: 2.113818E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.102 | TFLOPs: 42.49 | 31: iteration 14120/ 33899 | consumed samples: 7229440 | consumed tokens: 14805893120 | elapsed time per iteration (s): 1.86 | learning rate: 1.349E-04 | global batch size: 512 | lm loss: 2.100150E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.831 | TFLOPs: 41.25 | 31: iteration 14130/ 33899 | consumed samples: 7234560 | consumed tokens: 14816378880 | elapsed time per iteration (s): 1.81 | learning rate: 1.349E-04 | global batch size: 512 | lm loss: 2.104338E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.557 | TFLOPs: 42.41 | 31: iteration 14140/ 33899 | consumed samples: 7239680 | consumed tokens: 14826864640 | elapsed time per iteration (s): 1.80 | learning rate: 1.348E-04 | global batch size: 512 | lm loss: 2.101335E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.752 | TFLOPs: 42.74 | 31: iteration 14150/ 33899 | consumed samples: 7244800 | consumed tokens: 14837350400 | elapsed time per iteration (s): 1.78 | learning rate: 1.347E-04 | global batch size: 512 | lm loss: 2.109281E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.225 | TFLOPs: 43.11 | 31: iteration 14160/ 33899 | consumed samples: 7249920 | consumed tokens: 14847836160 | elapsed time per iteration (s): 1.86 | learning rate: 1.346E-04 | global batch size: 512 | lm loss: 2.143186E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.077 | TFLOPs: 41.29 | 31: iteration 14170/ 33899 | consumed samples: 7255040 | consumed tokens: 14858321920 | elapsed time per iteration (s): 1.81 | learning rate: 1.345E-04 | global batch size: 512 | lm loss: 2.116914E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.984 | TFLOPs: 42.47 | 31: iteration 14180/ 33899 | consumed samples: 7260160 | consumed tokens: 14868807680 | elapsed time per iteration (s): 1.85 | learning rate: 1.345E-04 | global batch size: 512 | lm loss: 2.101698E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.270 | TFLOPs: 41.62 | 31: iteration 14190/ 33899 | consumed samples: 7265280 | consumed tokens: 14879293440 | elapsed time per iteration (s): 1.80 | learning rate: 1.344E-04 | global batch size: 512 | lm loss: 2.100497E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.818 | TFLOPs: 42.75 | 31: iteration 14200/ 33899 | consumed samples: 7270400 | consumed tokens: 14889779200 | elapsed time per iteration (s): 1.84 | learning rate: 1.343E-04 | global batch size: 512 | lm loss: 2.107032E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.764 | TFLOPs: 41.84 | 31: iteration 14210/ 33899 | consumed samples: 7275520 | consumed tokens: 14900264960 | elapsed time per iteration (s): 1.84 | learning rate: 1.342E-04 | global batch size: 512 | lm loss: 2.112737E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.783 | TFLOPs: 41.69 | 31: iteration 14220/ 33899 | consumed samples: 7280640 | consumed tokens: 14910750720 | elapsed time per iteration (s): 1.78 | learning rate: 1.341E-04 | global batch size: 512 | lm loss: 2.082256E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.745 | TFLOPs: 43.19 | 31: iteration 14230/ 33899 | consumed samples: 7285760 | consumed tokens: 14921236480 | elapsed time per iteration (s): 1.82 | learning rate: 1.340E-04 | global batch size: 512 | lm loss: 2.084239E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.165 | TFLOPs: 42.20 | 31: iteration 14240/ 33899 | consumed samples: 7290880 | consumed tokens: 14931722240 | elapsed time per iteration (s): 1.82 | learning rate: 1.340E-04 | global batch size: 512 | lm loss: 2.081787E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.788 | TFLOPs: 42.29 | 31: iteration 14250/ 33899 | consumed samples: 7296000 | consumed tokens: 14942208000 | elapsed time per iteration (s): 1.81 | learning rate: 1.339E-04 | global batch size: 512 | lm loss: 2.104293E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.360 | TFLOPs: 42.38 | 31: iteration 14260/ 33899 | consumed samples: 7301120 | consumed tokens: 14952693760 | elapsed time per iteration (s): 1.80 | learning rate: 1.338E-04 | global batch size: 512 | lm loss: 2.112876E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.153 | TFLOPs: 42.80 | 31: iteration 14270/ 33899 | consumed samples: 7306240 | consumed tokens: 14963179520 | elapsed time per iteration (s): 1.85 | learning rate: 1.337E-04 | global batch size: 512 | lm loss: 2.097066E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.076 | TFLOPs: 41.59 | 31: iteration 14280/ 33899 | consumed samples: 7311360 | consumed tokens: 14973665280 | elapsed time per iteration (s): 1.87 | learning rate: 1.336E-04 | global batch size: 512 | lm loss: 2.105821E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.736 | TFLOPs: 41.09 | 31: iteration 14290/ 33899 | consumed samples: 7316480 | consumed tokens: 14984151040 | elapsed time per iteration (s): 1.78 | learning rate: 1.336E-04 | global batch size: 512 | lm loss: 2.091518E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.270 | TFLOPs: 43.27 | 31: iteration 14300/ 33899 | consumed samples: 7321600 | consumed tokens: 14994636800 | elapsed time per iteration (s): 1.82 | learning rate: 1.335E-04 | global batch size: 512 | lm loss: 2.102268E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.524 | TFLOPs: 42.26 | 31: iteration 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second: 288.328 | TFLOPs: 43.28 | 31: iteration 14340/ 33899 | consumed samples: 7342080 | consumed tokens: 15036579840 | elapsed time per iteration (s): 1.81 | learning rate: 1.332E-04 | global batch size: 512 | lm loss: 2.097229E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.336 | TFLOPs: 42.38 | 31: iteration 14350/ 33899 | consumed samples: 7347200 | consumed tokens: 15047065600 | elapsed time per iteration (s): 1.79 | learning rate: 1.331E-04 | global batch size: 512 | lm loss: 2.095042E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.648 | TFLOPs: 43.02 | 31: iteration 14360/ 33899 | consumed samples: 7352320 | consumed tokens: 15057551360 | elapsed time per iteration (s): 1.85 | learning rate: 1.330E-04 | global batch size: 512 | lm loss: 2.092163E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.506 | TFLOPs: 41.65 | 31: iteration 14370/ 33899 | consumed samples: 7357440 | consumed tokens: 15068037120 | elapsed time per iteration (s): 1.80 | learning rate: 1.329E-04 | global batch size: 512 | lm loss: 2.116458E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.857 | TFLOPs: 42.76 | 31: iteration 14380/ 33899 | consumed samples: 7362560 | consumed tokens: 15078522880 | elapsed time per iteration (s): 1.75 | learning rate: 1.328E-04 | global batch size: 512 | lm loss: 2.106778E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.834 | TFLOPs: 43.80 | 31: iteration 14390/ 33899 | consumed samples: 7367680 | consumed tokens: 15089008640 | elapsed time per iteration (s): 1.78 | learning rate: 1.327E-04 | global batch size: 512 | lm loss: 2.097520E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.263 | TFLOPs: 43.27 | 31: iteration 14400/ 33899 | consumed samples: 7372800 | consumed tokens: 15099494400 | elapsed time per iteration (s): 1.86 | learning rate: 1.327E-04 | global batch size: 512 | lm loss: 2.093368E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.932 | TFLOPs: 41.27 | 31: iteration 14410/ 33899 | consumed samples: 7377920 | consumed tokens: 15109980160 | elapsed time per iteration (s): 1.78 | learning rate: 1.326E-04 | global batch size: 512 | lm loss: 2.076793E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.627 | TFLOPs: 43.17 | 31: iteration 14420/ 33899 | consumed samples: 7383040 | consumed tokens: 15120465920 | elapsed time per iteration (s): 1.82 | learning rate: 1.325E-04 | global batch size: 512 | lm loss: 2.086002E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.706 | TFLOPs: 42.28 | 31: iteration 14430/ 33899 | consumed samples: 7388160 | consumed tokens: 15130951680 | elapsed time per iteration (s): 1.77 | learning rate: 1.324E-04 | global batch size: 512 | lm loss: 2.095074E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.623 | TFLOPs: 43.47 | 31: iteration 14440/ 33899 | consumed samples: 7393280 | consumed tokens: 15141437440 | elapsed time per iteration (s): 1.83 | learning rate: 1.323E-04 | global batch size: 512 | lm loss: 2.092425E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.822 | TFLOPs: 42.00 | 31: iteration 14450/ 33899 | consumed samples: 7398400 | consumed tokens: 15151923200 | elapsed time per iteration (s): 1.81 | learning rate: 1.323E-04 | global batch size: 512 | lm loss: 2.096524E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.939 | TFLOPs: 42.47 | 31: iteration 14460/ 33899 | consumed samples: 7403520 | consumed tokens: 15162408960 | elapsed time per iteration (s): 1.77 | learning rate: 1.322E-04 | global batch size: 512 | lm loss: 2.103223E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.935 | TFLOPs: 43.37 | 31: iteration 14470/ 33899 | consumed samples: 7408640 | consumed tokens: 15172894720 | elapsed time per iteration (s): 1.81 | learning rate: 1.321E-04 | global batch size: 512 | lm loss: 2.099766E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.505 | TFLOPs: 42.40 | 31: iteration 14480/ 33899 | consumed samples: 7413760 | consumed tokens: 15183380480 | elapsed time per iteration (s): 1.79 | learning rate: 1.320E-04 | global batch size: 512 | lm loss: 2.086326E+00 | grad norm: 0.118 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.640 | TFLOPs: 42.87 | 31: iteration 14490/ 33899 | consumed samples: 7418880 | consumed tokens: 15193866240 | elapsed time per iteration (s): 1.91 | learning rate: 1.319E-04 | global batch size: 512 | lm loss: 2.121533E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.203 | TFLOPs: 40.26 | 31: iteration 14500/ 33899 | consumed samples: 7424000 | consumed tokens: 15204352000 | elapsed time per iteration (s): 1.79 | learning rate: 1.318E-04 | global batch size: 512 | lm loss: 2.085686E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.905 | TFLOPs: 42.91 | 31: iteration 14510/ 33899 | consumed samples: 7429120 | consumed tokens: 15214837760 | elapsed time per iteration (s): 1.79 | learning rate: 1.318E-04 | global batch size: 512 | lm loss: 2.073795E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.932 | TFLOPs: 42.92 | 31: iteration 14520/ 33899 | consumed samples: 7434240 | consumed tokens: 15225323520 | elapsed time per iteration (s): 1.84 | learning rate: 1.317E-04 | global batch size: 512 | lm loss: 2.078617E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.028 | TFLOPs: 41.73 | 31: iteration 14530/ 33899 | consumed samples: 7439360 | consumed tokens: 15235809280 | elapsed time per iteration (s): 1.80 | learning rate: 1.316E-04 | global batch size: 512 | lm loss: 2.097805E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.632 | TFLOPs: 42.72 | 31: iteration 14540/ 33899 | consumed samples: 7444480 | consumed tokens: 15246295040 | elapsed time per iteration (s): 1.82 | learning rate: 1.315E-04 | global batch size: 512 | lm loss: 2.090290E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.124 | TFLOPs: 42.20 | 31: iteration 14550/ 33899 | consumed samples: 7449600 | consumed tokens: 15256780800 | elapsed time per iteration (s): 1.89 | learning rate: 1.314E-04 | global batch size: 512 | lm loss: 2.077766E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.276 | TFLOPs: 40.72 | 31: iteration 14560/ 33899 | consumed samples: 7454720 | consumed tokens: 15267266560 | elapsed time per iteration (s): 1.86 | learning rate: 1.314E-04 | global batch size: 512 | lm loss: 2.079746E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.035 | TFLOPs: 41.28 | 31: iteration 14570/ 33899 | consumed samples: 7459840 | consumed tokens: 15277752320 | elapsed time per iteration (s): 1.80 | learning rate: 1.313E-04 | global batch size: 512 | lm loss: 2.081116E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.186 | TFLOPs: 42.65 | 31: iteration 14580/ 33899 | consumed samples: 7464960 | consumed tokens: 15288238080 | elapsed time per iteration (s): 1.89 | learning rate: 1.312E-04 | global batch size: 512 | lm loss: 2.090462E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.868 | TFLOPs: 40.66 | 31: iteration 14590/ 33899 | consumed samples: 7470080 | consumed tokens: 15298723840 | elapsed time per iteration (s): 1.90 | learning rate: 1.311E-04 | global batch size: 512 | lm loss: 2.085384E+00 | grad norm: 0.133 | num 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| consumed samples: 7633920 | consumed tokens: 15634268160 | elapsed time per iteration (s): 1.79 | learning rate: 1.285E-04 | global batch size: 512 | lm loss: 2.064045E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.465 | TFLOPs: 42.85 | 31: iteration 14920/ 33899 | consumed samples: 7639040 | consumed tokens: 15644753920 | elapsed time per iteration (s): 1.78 | learning rate: 1.284E-04 | global batch size: 512 | lm loss: 2.072463E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.146 | TFLOPs: 43.10 | 31: iteration 14930/ 33899 | consumed samples: 7644160 | consumed tokens: 15655239680 | elapsed time per iteration (s): 1.85 | learning rate: 1.283E-04 | global batch size: 512 | lm loss: 2.057286E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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iteration 15010/ 33899 | consumed samples: 7685120 | consumed tokens: 15739125760 | elapsed time per iteration (s): 2.61 | learning rate: 1.277E-04 | global batch size: 512 | lm loss: 2.077036E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 196.362 | TFLOPs: 29.47 | 31: iteration 15020/ 33899 | consumed samples: 7690240 | consumed tokens: 15749611520 | elapsed time per iteration (s): 1.90 | learning rate: 1.276E-04 | global batch size: 512 | lm loss: 2.075534E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.571 | TFLOPs: 40.46 | 31: iteration 15030/ 33899 | consumed samples: 7695360 | consumed tokens: 15760097280 | elapsed time per iteration (s): 1.85 | learning rate: 1.275E-04 | global batch size: 512 | lm loss: 2.085477E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.266 | TFLOPs: 41.62 | 31: iteration 15040/ 33899 | consumed samples: 7700480 | consumed tokens: 15770583040 | elapsed time per iteration (s): 1.87 | learning rate: 1.274E-04 | global batch size: 512 | lm loss: 2.084574E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.393 | TFLOPs: 41.18 | 31: iteration 15050/ 33899 | consumed samples: 7705600 | consumed tokens: 15781068800 | elapsed time per iteration (s): 1.85 | learning rate: 1.273E-04 | global batch size: 512 | lm loss: 2.062283E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.414 | TFLOPs: 41.49 | 31: iteration 15060/ 33899 | consumed samples: 7710720 | consumed tokens: 15791554560 | elapsed time per iteration (s): 1.90 | learning rate: 1.272E-04 | global batch size: 512 | lm loss: 2.075624E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.484 | TFLOPs: 40.45 | 31: iteration 15070/ 33899 | consumed samples: 7715840 | consumed tokens: 15802040320 | elapsed time per iteration (s): 1.91 | learning rate: 1.272E-04 | global batch size: 512 | lm loss: 2.077100E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.024 | TFLOPs: 40.23 | 31: iteration 15080/ 33899 | consumed samples: 7720960 | consumed tokens: 15812526080 | elapsed time per iteration (s): 1.79 | learning rate: 1.271E-04 | global batch size: 512 | lm loss: 2.080684E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.544 | TFLOPs: 43.01 | 31: iteration 15090/ 33899 | consumed samples: 7726080 | consumed tokens: 15823011840 | elapsed time per iteration (s): 1.88 | learning rate: 1.270E-04 | global batch size: 512 | lm loss: 2.073808E+00 | grad 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.504 | TFLOPs: 41.20 | 31: iteration 15300/ 33899 | consumed samples: 7833600 | consumed tokens: 16043212800 | elapsed time per iteration (s): 1.78 | learning rate: 1.253E-04 | global batch size: 512 | lm loss: 2.077945E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.109 | TFLOPs: 43.24 | 31: iteration 15310/ 33899 | consumed samples: 7838720 | consumed tokens: 16053698560 | elapsed time per iteration (s): 1.89 | learning rate: 1.252E-04 | global batch size: 512 | lm loss: 2.070170E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.402 | TFLOPs: 40.74 | 31: iteration 15320/ 33899 | consumed samples: 7843840 | consumed tokens: 16064184320 | elapsed time per iteration (s): 1.82 | learning rate: 1.251E-04 | global batch size: 512 | lm loss: 2.049575E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.077 | TFLOPs: 42.34 | 31: iteration 15330/ 33899 | consumed samples: 7848960 | consumed tokens: 16074670080 | elapsed time per iteration (s): 1.90 | learning rate: 1.250E-04 | global batch size: 512 | lm loss: 2.073274E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.994 | TFLOPs: 40.37 | 31: iteration 15340/ 33899 | consumed samples: 7854080 | consumed tokens: 16085155840 | elapsed time per iteration (s): 1.82 | learning rate: 1.249E-04 | global batch size: 512 | lm loss: 2.098241E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.459 | TFLOPs: 42.25 | 31: iteration 15350/ 33899 | consumed samples: 7859200 | consumed tokens: 16095641600 | elapsed time per iteration (s): 1.86 | 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| consumed samples: 7889920 | consumed tokens: 16158556160 | elapsed time per iteration (s): 1.92 | learning rate: 1.243E-04 | global batch size: 512 | lm loss: 2.058346E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.088 | TFLOPs: 40.09 | 31: iteration 15420/ 33899 | consumed samples: 7895040 | consumed tokens: 16169041920 | elapsed time per iteration (s): 1.81 | learning rate: 1.243E-04 | global batch size: 512 | lm loss: 2.068382E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.471 | TFLOPs: 42.40 | 31: iteration 15430/ 33899 | consumed samples: 7900160 | consumed tokens: 16179527680 | elapsed time per iteration (s): 2.37 | learning rate: 1.242E-04 | global batch size: 512 | lm loss: 2.067717E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 215.818 | TFLOPs: 32.39 | 31: iteration 15440/ 33899 | consumed samples: 7905280 | consumed tokens: 16190013440 | elapsed time per iteration (s): 1.86 | learning rate: 1.241E-04 | global batch size: 512 | lm loss: 2.068226E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.928 | TFLOPs: 41.42 | 31: iteration 15450/ 33899 | consumed samples: 7910400 | consumed tokens: 16200499200 | elapsed time per iteration (s): 2.91 | learning rate: 1.240E-04 | global batch size: 512 | lm loss: 2.061239E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 175.943 | TFLOPs: 26.41 | 31: iteration 15460/ 33899 | consumed samples: 7915520 | consumed tokens: 16210984960 | elapsed time per iteration (s): 1.89 | learning rate: 1.239E-04 | global batch size: 512 | lm loss: 2.068729E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | 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lm loss: 2.095586E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.724 | TFLOPs: 40.48 | 31: iteration 15530/ 33899 | consumed samples: 7951360 | consumed tokens: 16284385280 | elapsed time per iteration (s): 1.89 | learning rate: 1.233E-04 | global batch size: 512 | lm loss: 2.059017E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.628 | TFLOPs: 40.62 | 31: iteration 15540/ 33899 | consumed samples: 7956480 | consumed tokens: 16294871040 | elapsed time per iteration (s): 1.85 | learning rate: 1.233E-04 | global batch size: 512 | lm loss: 2.095567E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.718 | TFLOPs: 41.53 | 31: iteration 15550/ 33899 | consumed samples: 7961600 | consumed tokens: 16305356800 | elapsed time per iteration (s): 1.85 | 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| consumed samples: 7992320 | consumed tokens: 16368271360 | elapsed time per iteration (s): 2.05 | learning rate: 1.227E-04 | global batch size: 512 | lm loss: 2.072268E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 249.920 | TFLOPs: 37.51 | 31: iteration 15620/ 33899 | consumed samples: 7997440 | consumed tokens: 16378757120 | elapsed time per iteration (s): 1.82 | learning rate: 1.226E-04 | global batch size: 512 | lm loss: 2.071814E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.964 | TFLOPs: 42.32 | 31: iteration 15630/ 33899 | consumed samples: 8002560 | consumed tokens: 16389242880 | elapsed time per iteration (s): 1.84 | learning rate: 1.225E-04 | global batch size: 512 | lm loss: 2.048361E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.744 | TFLOPs: 41.69 | 31: iteration 15640/ 33899 | consumed samples: 8007680 | consumed tokens: 16399728640 | elapsed time per iteration (s): 3.04 | learning rate: 1.224E-04 | global batch size: 512 | lm loss: 2.041525E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 168.161 | TFLOPs: 25.24 | 31: iteration 15650/ 33899 | consumed samples: 8012800 | consumed tokens: 16410214400 | elapsed time per iteration (s): 1.80 | learning rate: 1.223E-04 | global batch size: 512 | lm loss: 2.055787E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.641 | TFLOPs: 42.72 | 31: iteration 15660/ 33899 | consumed samples: 8017920 | consumed tokens: 16420700160 | elapsed time per iteration (s): 1.85 | learning rate: 1.223E-04 | global batch size: 512 | lm loss: 2.057464E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.383 | TFLOPs: 41.63 | 31: iteration 15670/ 33899 | consumed samples: 8023040 | consumed tokens: 16431185920 | elapsed time per iteration (s): 1.97 | learning rate: 1.222E-04 | global batch size: 512 | lm loss: 2.067816E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.344 | TFLOPs: 38.93 | 31: iteration 15680/ 33899 | consumed samples: 8028160 | consumed tokens: 16441671680 | elapsed time per iteration (s): 1.86 | learning rate: 1.221E-04 | global batch size: 512 | lm loss: 2.069269E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.318 | TFLOPs: 41.32 | 31: iteration 15690/ 33899 | consumed samples: 8033280 | consumed tokens: 16452157440 | elapsed time per iteration (s): 1.96 | learning rate: 1.220E-04 | global batch size: 512 | lm loss: 2.049091E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.630 | TFLOPs: 39.27 | 31: iteration 15700/ 33899 | consumed samples: 8038400 | consumed tokens: 16462643200 | elapsed time per iteration (s): 1.83 | learning rate: 1.219E-04 | global batch size: 512 | lm loss: 2.070999E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.323 | TFLOPs: 42.07 | 31: iteration 15710/ 33899 | consumed samples: 8043520 | consumed tokens: 16473128960 | elapsed time per iteration (s): 1.78 | learning rate: 1.218E-04 | global batch size: 512 | lm loss: 2.056600E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.553 | TFLOPs: 43.16 | 31: iteration 15720/ 33899 | consumed samples: 8048640 | consumed tokens: 16483614720 | elapsed time per iteration (s): 1.86 | learning rate: 1.218E-04 | global batch size: 512 | lm loss: 2.076857E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.518 | TFLOPs: 41.35 | 31: iteration 15730/ 33899 | consumed samples: 8053760 | consumed tokens: 16494100480 | elapsed time per iteration (s): 1.88 | learning rate: 1.217E-04 | global batch size: 512 | lm loss: 2.068430E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.048 | TFLOPs: 40.83 | 31: iteration 15740/ 33899 | consumed samples: 8058880 | consumed tokens: 16504586240 | elapsed time per iteration (s): 1.94 | learning rate: 1.216E-04 | global batch size: 512 | lm loss: 2.084537E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.376 | TFLOPs: 39.53 | 31: iteration 15750/ 33899 | consumed samples: 8064000 | consumed tokens: 16515072000 | elapsed time per iteration (s): 1.93 | 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| consumed samples: 8094720 | consumed tokens: 16577986560 | elapsed time per iteration (s): 1.82 | learning rate: 1.210E-04 | global batch size: 512 | lm loss: 2.078673E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.903 | TFLOPs: 42.31 | 31: iteration 15820/ 33899 | consumed samples: 8099840 | consumed tokens: 16588472320 | elapsed time per iteration (s): 1.98 | learning rate: 1.209E-04 | global batch size: 512 | lm loss: 2.081813E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 258.172 | TFLOPs: 38.75 | 31: iteration 15830/ 33899 | consumed samples: 8104960 | consumed tokens: 16598958080 | elapsed time per iteration (s): 1.95 | learning rate: 1.208E-04 | global batch size: 512 | lm loss: 2.069823E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.508 | TFLOPs: 39.40 | 31: iteration 15840/ 33899 | consumed samples: 8110080 | consumed tokens: 16609443840 | elapsed time per iteration (s): 1.84 | learning rate: 1.208E-04 | global batch size: 512 | lm loss: 2.074651E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.728 | TFLOPs: 41.84 | 31: iteration 15850/ 33899 | consumed samples: 8115200 | consumed tokens: 16619929600 | elapsed time per iteration (s): 1.84 | learning rate: 1.207E-04 | global batch size: 512 | lm loss: 2.068844E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.602 | TFLOPs: 41.82 | 31: iteration 15860/ 33899 | consumed samples: 8120320 | consumed tokens: 16630415360 | elapsed time per iteration (s): 1.90 | learning rate: 1.206E-04 | global batch size: 512 | lm loss: 2.083617E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.144 | TFLOPs: 40.40 | 31: iteration 15870/ 33899 | consumed samples: 8125440 | consumed tokens: 16640901120 | elapsed time per iteration (s): 1.87 | learning rate: 1.205E-04 | global batch size: 512 | lm loss: 2.089251E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.364 | TFLOPs: 41.03 | 31: iteration 15880/ 33899 | consumed samples: 8130560 | consumed tokens: 16651386880 | elapsed time per iteration (s): 1.88 | learning rate: 1.204E-04 | global batch size: 512 | lm loss: 2.078214E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.429 | TFLOPs: 40.89 | 31: iteration 15890/ 33899 | consumed samples: 8135680 | consumed tokens: 16661872640 | elapsed time per iteration (s): 2.05 | learning rate: 1.203E-04 | global batch size: 512 | lm loss: 2.071828E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 249.167 | TFLOPs: 37.40 | 31: iteration 15900/ 33899 | consumed samples: 8140800 | consumed tokens: 16672358400 | elapsed time per iteration (s): 1.92 | learning rate: 1.202E-04 | global batch size: 512 | lm loss: 2.075810E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.308 | TFLOPs: 40.12 | 31: iteration 15910/ 33899 | consumed samples: 8145920 | consumed tokens: 16682844160 | elapsed time per iteration (s): 1.82 | learning rate: 1.202E-04 | global batch size: 512 | lm loss: 2.067611E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.687 | TFLOPs: 42.13 | 31: iteration 15920/ 33899 | consumed samples: 8151040 | consumed tokens: 16693329920 | elapsed time per iteration (s): 1.84 | learning rate: 1.201E-04 | global batch size: 512 | lm loss: 2.078509E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.094 | TFLOPs: 41.74 | 31: iteration 15930/ 33899 | consumed samples: 8156160 | consumed tokens: 16703815680 | elapsed time per iteration (s): 1.79 | learning rate: 1.200E-04 | global batch size: 512 | lm loss: 2.053677E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.371 | TFLOPs: 42.98 | 31: iteration 15940/ 33899 | consumed samples: 8161280 | consumed tokens: 16714301440 | elapsed time per iteration (s): 1.84 | learning rate: 1.199E-04 | global batch size: 512 | lm loss: 2.066283E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.852 | TFLOPs: 41.85 | 31: iteration 15950/ 33899 | consumed samples: 8166400 | consumed tokens: 16724787200 | elapsed time per iteration (s): 1.83 | learning rate: 1.198E-04 | global batch size: 512 | lm loss: 2.066548E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.797 | TFLOPs: 42.00 | 31: iteration 15960/ 33899 | consumed samples: 8171520 | consumed tokens: 16735272960 | elapsed time per iteration (s): 1.81 | learning rate: 1.197E-04 | global batch size: 512 | lm loss: 2.057223E+00 | grad norm: 0.120 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.435 | TFLOPs: 42.39 | 31: iteration 15970/ 33899 | consumed samples: 8176640 | consumed tokens: 16745758720 | elapsed time per iteration (s): 1.81 | learning rate: 1.197E-04 | global batch size: 512 | lm loss: 2.073064E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.365 | TFLOPs: 42.38 | 31: iteration 15980/ 33899 | consumed samples: 8181760 | consumed tokens: 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2.053501E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 197.086 | TFLOPs: 29.58 | 31: iteration 16020/ 33899 | consumed samples: 8202240 | consumed tokens: 16798187520 | elapsed time per iteration (s): 1.83 | learning rate: 1.192E-04 | global batch size: 512 | lm loss: 2.080882E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.195 | TFLOPs: 41.91 | 31: iteration 16030/ 33899 | consumed samples: 8207360 | consumed tokens: 16808673280 | elapsed time per iteration (s): 1.88 | learning rate: 1.192E-04 | global batch size: 512 | lm loss: 2.073417E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.520 | TFLOPs: 40.90 | 31: iteration 16040/ 33899 | consumed samples: 8212480 | consumed tokens: 16819159040 | elapsed time per iteration (s): 1.83 | learning rate: 1.191E-04 | global batch size: 512 | lm loss: 2.076770E+00 | grad norm: 0.119 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.312 | TFLOPs: 42.07 | 31: iteration 16050/ 33899 | consumed samples: 8217600 | consumed tokens: 16829644800 | elapsed time per iteration (s): 1.81 | learning rate: 1.190E-04 | global batch size: 512 | lm loss: 2.077094E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.308 | TFLOPs: 42.37 | 31: iteration 16060/ 33899 | consumed samples: 8222720 | consumed tokens: 16840130560 | elapsed time per iteration (s): 1.86 | learning rate: 1.189E-04 | global batch size: 512 | lm loss: 2.061583E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.614 | TFLOPs: 41.22 | 31: iteration 16070/ 33899 | consumed samples: 8227840 | consumed tokens: 16850616320 | elapsed time per iteration (s): 1.89 | learning rate: 1.188E-04 | global batch size: 512 | lm loss: 2.067427E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.086 | TFLOPs: 40.69 | 31: iteration 16080/ 33899 | consumed samples: 8232960 | consumed tokens: 16861102080 | elapsed time per iteration (s): 1.81 | learning rate: 1.187E-04 | global batch size: 512 | lm loss: 2.067430E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.658 | TFLOPs: 42.43 | 31: iteration 16090/ 33899 | consumed samples: 8238080 | consumed tokens: 16871587840 | elapsed time per iteration (s): 1.83 | learning rate: 1.187E-04 | global batch size: 512 | lm loss: 2.052122E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.477 | TFLOPs: 42.10 | 31: iteration 16100/ 33899 | consumed samples: 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31: iteration 16130/ 33899 | consumed samples: 8258560 | consumed tokens: 16913530880 | elapsed time per iteration (s): 1.87 | learning rate: 1.183E-04 | global batch size: 512 | lm loss: 2.101962E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.015 | TFLOPs: 41.13 | 31: iteration 16140/ 33899 | consumed samples: 8263680 | consumed tokens: 16924016640 | elapsed time per iteration (s): 1.81 | learning rate: 1.182E-04 | global batch size: 512 | lm loss: 2.059166E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.836 | TFLOPs: 42.45 | 31: iteration 16150/ 33899 | consumed samples: 8268800 | consumed tokens: 16934502400 | elapsed time per iteration (s): 1.79 | learning rate: 1.182E-04 | global batch size: 512 | lm loss: 2.071082E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.481 | TFLOPs: 43.00 | 31: iteration 16160/ 33899 | consumed samples: 8273920 | consumed tokens: 16944988160 | elapsed time per iteration (s): 1.84 | learning rate: 1.181E-04 | global batch size: 512 | lm loss: 2.075342E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.657 | TFLOPs: 41.67 | 31: iteration 16170/ 33899 | consumed samples: 8279040 | consumed tokens: 16955473920 | elapsed time per iteration (s): 1.89 | learning rate: 1.180E-04 | global batch size: 512 | lm loss: 2.084986E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.321 | TFLOPs: 40.57 | 31: iteration 16180/ 33899 | consumed samples: 8284160 | consumed tokens: 16965959680 | elapsed time per iteration (s): 1.83 | learning rate: 1.179E-04 | global batch size: 512 | lm loss: 2.065677E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.604 | TFLOPs: 41.97 | 31: iteration 16190/ 33899 | consumed samples: 8289280 | consumed tokens: 16976445440 | elapsed time per iteration (s): 1.94 | learning rate: 1.178E-04 | global batch size: 512 | lm loss: 2.058186E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.545 | TFLOPs: 39.71 | 31: iteration 16200/ 33899 | consumed samples: 8294400 | consumed tokens: 16986931200 | elapsed time per iteration (s): 1.78 | learning rate: 1.177E-04 | global batch size: 512 | lm loss: 2.051644E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.394 | TFLOPs: 43.14 | 31: iteration 16210/ 33899 | consumed samples: 8299520 | consumed tokens: 16997416960 | elapsed time per iteration (s): 1.77 | learning rate: 1.177E-04 | global batch size: 512 | lm loss: 2.059946E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.956 | TFLOPs: 43.52 | 31: iteration 16220/ 33899 | consumed samples: 8304640 | consumed tokens: 17007902720 | elapsed time per iteration (s): 1.87 | learning rate: 1.176E-04 | global batch size: 512 | lm loss: 2.069558E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.068 | TFLOPs: 40.99 | 31: iteration 16230/ 33899 | consumed samples: 8309760 | consumed tokens: 17018388480 | elapsed time per iteration (s): 1.93 | learning rate: 1.175E-04 | global batch size: 512 | lm loss: 2.058488E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.326 | TFLOPs: 39.82 | 31: iteration 16240/ 33899 | consumed samples: 8314880 | consumed tokens: 17028874240 | elapsed time per iteration (s): 1.84 | learning rate: 1.174E-04 | global batch size: 512 | lm loss: 2.067679E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.170 | TFLOPs: 41.75 | 31: iteration 16250/ 33899 | consumed samples: 8320000 | consumed tokens: 17039360000 | elapsed time per iteration (s): 1.79 | learning rate: 1.173E-04 | global batch size: 512 | lm loss: 2.030201E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.485 | TFLOPs: 42.85 | 31: iteration 16260/ 33899 | consumed samples: 8325120 | consumed tokens: 17049845760 | elapsed time per iteration (s): 1.78 | learning rate: 1.172E-04 | global batch size: 512 | lm loss: 2.053001E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.281 | TFLOPs: 43.12 | 31: iteration 16270/ 33899 | consumed samples: 8330240 | consumed tokens: 17060331520 | elapsed time per iteration 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tokens: 17091788800 | elapsed time per iteration (s): 1.85 | learning rate: 1.169E-04 | global batch size: 512 | lm loss: 2.059219E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.654 | TFLOPs: 41.52 | 31: iteration 16310/ 33899 | consumed samples: 8350720 | consumed tokens: 17102274560 | elapsed time per iteration (s): 1.91 | learning rate: 1.168E-04 | global batch size: 512 | lm loss: 2.041252E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.601 | TFLOPs: 40.32 | 31: iteration 16320/ 33899 | consumed samples: 8355840 | consumed tokens: 17112760320 | elapsed time per iteration (s): 1.83 | learning rate: 1.167E-04 | global batch size: 512 | lm loss: 2.043908E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.370 | TFLOPs: 41.93 | 31: iteration 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second: 282.953 | TFLOPs: 42.47 | 31: iteration 16360/ 33899 | consumed samples: 8376320 | consumed tokens: 17154703360 | elapsed time per iteration (s): 1.87 | learning rate: 1.164E-04 | global batch size: 512 | lm loss: 2.046522E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.158 | TFLOPs: 41.15 | 31: iteration 16370/ 33899 | consumed samples: 8381440 | consumed tokens: 17165189120 | elapsed time per iteration (s): 1.80 | learning rate: 1.163E-04 | global batch size: 512 | lm loss: 2.052680E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.662 | TFLOPs: 42.73 | 31: iteration 16380/ 33899 | consumed samples: 8386560 | consumed tokens: 17175674880 | elapsed time per iteration (s): 1.79 | learning rate: 1.162E-04 | global batch size: 512 | lm loss: 2.062228E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.299 | TFLOPs: 42.97 | 31: iteration 16390/ 33899 | consumed samples: 8391680 | consumed tokens: 17186160640 | elapsed time per iteration (s): 1.84 | learning rate: 1.161E-04 | global batch size: 512 | lm loss: 2.053581E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.882 | TFLOPs: 41.71 | 31: iteration 16400/ 33899 | consumed samples: 8396800 | consumed tokens: 17196646400 | elapsed time per iteration (s): 1.86 | learning rate: 1.161E-04 | global batch size: 512 | lm loss: 2.056476E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.682 | TFLOPs: 41.23 | 31: iteration 16410/ 33899 | consumed samples: 8401920 | consumed tokens: 17207132160 | elapsed time per iteration (s): 1.90 | learning rate: 1.160E-04 | global batch size: 512 | lm loss: 2.072386E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.680 | TFLOPs: 40.48 | 31: iteration 16420/ 33899 | consumed samples: 8407040 | consumed tokens: 17217617920 | elapsed time per iteration (s): 1.86 | learning rate: 1.159E-04 | global batch size: 512 | lm loss: 2.080634E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.558 | TFLOPs: 41.36 | 31: iteration 16430/ 33899 | consumed samples: 8412160 | consumed tokens: 17228103680 | elapsed time per iteration (s): 1.83 | learning rate: 1.158E-04 | global batch size: 512 | lm loss: 2.052278E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.778 | TFLOPs: 41.99 | 31: iteration 16440/ 33899 | consumed samples: 8417280 | consumed tokens: 17238589440 | elapsed time per iteration (s): 1.85 | learning rate: 1.157E-04 | global batch size: 512 | lm loss: 2.049765E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.413 | TFLOPs: 41.49 | 31: iteration 16450/ 33899 | consumed samples: 8422400 | consumed tokens: 17249075200 | elapsed time per iteration (s): 1.87 | learning rate: 1.156E-04 | global batch size: 512 | lm loss: 2.044292E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.753 | TFLOPs: 41.09 | 31: iteration 16460/ 33899 | consumed samples: 8427520 | consumed tokens: 17259560960 | elapsed time per iteration (s): 1.86 | learning rate: 1.156E-04 | global batch size: 512 | lm loss: 2.045124E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.945 | TFLOPs: 41.27 | 31: iteration 16470/ 33899 | consumed samples: 8432640 | consumed tokens: 17270046720 | elapsed time per iteration (s): 1.93 | learning rate: 1.155E-04 | global batch size: 512 | lm loss: 2.084044E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.067 | TFLOPs: 39.79 | 31: iteration 16480/ 33899 | consumed samples: 8437760 | consumed tokens: 17280532480 | elapsed time per iteration (s): 1.85 | learning rate: 1.154E-04 | global batch size: 512 | lm loss: 2.065814E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.953 | TFLOPs: 41.57 | 31: iteration 16490/ 33899 | consumed samples: 8442880 | consumed tokens: 17291018240 | elapsed time per iteration (s): 1.83 | learning rate: 1.153E-04 | global batch size: 512 | lm loss: 2.071862E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.695 | TFLOPs: 41.98 | 31: iteration 16500/ 33899 | consumed samples: 8448000 | consumed tokens: 17301504000 | elapsed time per iteration (s): 1.87 | learning rate: 1.152E-04 | global batch size: 512 | lm loss: 2.059588E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.273 | TFLOPs: 41.02 | 31: iteration 16510/ 33899 | consumed samples: 8453120 | consumed tokens: 17311989760 | elapsed time per iteration (s): 1.86 | learning rate: 1.151E-04 | global batch size: 512 | lm loss: 2.071926E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.740 | TFLOPs: 41.24 | 31: iteration 16520/ 33899 | consumed samples: 8458240 | consumed tokens: 17322475520 | elapsed time per iteration (s): 1.79 | learning rate: 1.150E-04 | global batch size: 512 | lm loss: 2.047587E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.458 | TFLOPs: 43.00 | 31: iteration 16530/ 33899 | consumed samples: 8463360 | consumed tokens: 17332961280 | elapsed time per iteration (s): 1.83 | learning rate: 1.150E-04 | global batch size: 512 | lm loss: 2.036202E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.270 | TFLOPs: 42.07 | 31: iteration 16540/ 33899 | consumed samples: 8468480 | consumed tokens: 17343447040 | elapsed time per iteration (s): 1.90 | learning rate: 1.149E-04 | global batch size: 512 | lm loss: 2.035338E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.671 | TFLOPs: 40.48 | 31: iteration 16550/ 33899 | consumed samples: 8473600 | consumed tokens: 17353932800 | elapsed time per iteration (s): 1.87 | learning rate: 1.148E-04 | global batch size: 512 | lm loss: 2.055398E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.747 | TFLOPs: 41.09 | 31: iteration 16560/ 33899 | consumed samples: 8478720 | consumed tokens: 17364418560 | elapsed time per iteration (s): 1.87 | learning rate: 1.147E-04 | global batch size: 512 | lm loss: 2.036606E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.171 | TFLOPs: 41.15 | 31: iteration 16570/ 33899 | consumed samples: 8483840 | consumed tokens: 17374904320 | elapsed time per iteration (s): 1.96 | learning rate: 1.146E-04 | global batch size: 512 | lm loss: 2.032345E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.819 | TFLOPs: 39.30 | 31: iteration 16580/ 33899 | consumed samples: 8488960 | consumed tokens: 17385390080 | elapsed time per iteration (s): 1.92 | learning rate: 1.145E-04 | global batch size: 512 | lm loss: 2.051216E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.723 | TFLOPs: 40.03 | 31: iteration 16590/ 33899 | consumed samples: 8494080 | consumed tokens: 17395875840 | elapsed time per iteration (s): 1.89 | learning rate: 1.145E-04 | global batch size: 512 | lm loss: 2.053339E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.350 | TFLOPs: 40.73 | 31: iteration 16600/ 33899 | consumed samples: 8499200 | consumed tokens: 17406361600 | elapsed time per iteration (s): 1.82 | learning rate: 1.144E-04 | global batch size: 512 | lm loss: 2.048296E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.386 | TFLOPs: 42.23 | 31: iteration 16610/ 33899 | consumed samples: 8504320 | consumed tokens: 17416847360 | elapsed time per iteration (s): 1.86 | learning rate: 1.143E-04 | global batch size: 512 | lm loss: 2.056276E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.003 | TFLOPs: 41.43 | 31: iteration 16620/ 33899 | consumed samples: 8509440 | consumed tokens: 17427333120 | elapsed time per iteration (s): 1.82 | learning rate: 1.142E-04 | global batch size: 512 | lm loss: 2.060988E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.611 | TFLOPs: 42.12 | 31: iteration 16630/ 33899 | consumed samples: 8514560 | consumed tokens: 17437818880 | elapsed time per iteration (s): 1.82 | learning rate: 1.141E-04 | global batch size: 512 | lm loss: 2.038137E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.603 | TFLOPs: 42.12 | 31: iteration 16640/ 33899 | consumed samples: 8519680 | consumed tokens: 17448304640 | elapsed time per iteration (s): 1.83 | learning rate: 1.140E-04 | global batch size: 512 | lm loss: 2.089131E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.512 | TFLOPs: 42.10 | 31: iteration 16650/ 33899 | consumed samples: 8524800 | consumed tokens: 17458790400 | elapsed time per iteration (s): 1.81 | learning rate: 1.140E-04 | global batch size: 512 | lm loss: 2.050630E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.172 | TFLOPs: 42.35 | 31: iteration 16660/ 33899 | consumed samples: 8529920 | consumed tokens: 17469276160 | elapsed time per iteration (s): 1.83 | learning rate: 1.139E-04 | global batch size: 512 | lm loss: 2.086780E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.096 | TFLOPs: 41.89 | 31: iteration 16670/ 33899 | consumed samples: 8535040 | consumed tokens: 17479761920 | elapsed time per iteration (s): 1.87 | learning rate: 1.138E-04 | global batch size: 512 | lm loss: 2.059621E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.216 | TFLOPs: 41.01 | 31: iteration 16680/ 33899 | consumed samples: 8540160 | consumed tokens: 17490247680 | elapsed time per iteration (s): 1.86 | learning rate: 1.137E-04 | global batch size: 512 | lm loss: 2.039843E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.577 | TFLOPs: 41.21 | 31: iteration 16690/ 33899 | consumed samples: 8545280 | consumed tokens: 17500733440 | elapsed time per iteration (s): 1.85 | learning rate: 1.136E-04 | global batch size: 512 | lm loss: 2.066337E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.621 | TFLOPs: 41.52 | 31: iteration 16700/ 33899 | consumed samples: 8550400 | consumed tokens: 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| consumed samples: 8668160 | consumed tokens: 17752391680 | elapsed time per iteration (s): 1.93 | learning rate: 1.116E-04 | global batch size: 512 | lm loss: 2.057573E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.834 | TFLOPs: 39.90 | 31: iteration 16940/ 33899 | consumed samples: 8673280 | consumed tokens: 17762877440 | elapsed time per iteration (s): 1.94 | learning rate: 1.115E-04 | global batch size: 512 | lm loss: 2.040342E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.476 | TFLOPs: 39.70 | 31: iteration 16950/ 33899 | consumed samples: 8678400 | consumed tokens: 17773363200 | elapsed time per iteration (s): 1.83 | learning rate: 1.114E-04 | global batch size: 512 | lm loss: 2.043528E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.375 | TFLOPs: 41.93 | 31: iteration 16960/ 33899 | consumed samples: 8683520 | consumed tokens: 17783848960 | elapsed time per iteration (s): 1.98 | learning rate: 1.113E-04 | global batch size: 512 | lm loss: 2.058077E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 257.937 | TFLOPs: 38.71 | 31: iteration 16970/ 33899 | consumed samples: 8688640 | consumed tokens: 17794334720 | elapsed time per iteration (s): 1.81 | learning rate: 1.113E-04 | global batch size: 512 | lm loss: 2.042209E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.988 | TFLOPs: 42.47 | 31: iteration 16980/ 33899 | consumed samples: 8693760 | consumed tokens: 17804820480 | elapsed time per iteration (s): 1.91 | learning rate: 1.112E-04 | global batch size: 512 | lm loss: 2.051670E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.502 | TFLOPs: 40.30 | 31: iteration 16990/ 33899 | consumed samples: 8698880 | consumed tokens: 17815306240 | elapsed time per iteration (s): 1.85 | learning rate: 1.111E-04 | global batch size: 512 | lm loss: 2.037233E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.688 | TFLOPs: 41.53 | 31: iteration 17000/ 33899 | consumed samples: 8704000 | consumed tokens: 17825792000 | elapsed time per iteration (s): 1.87 | learning rate: 1.110E-04 | global batch size: 512 | lm loss: 2.061623E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.473 | TFLOPs: 41.20 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 17000 | lm loss value: 2.010224E+00 | lm loss PPL: 7.464990E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 17000 to checkpoints_2b8 0: [2022-11-26 03:47:07,656] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step17000 is begin to save! 0: [2022-11-26 03:47:07,668] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step17000/layer_01-model_00-model_states.pt... 0: [2022-11-26 03:47:07,953] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step17000/layer_01-model_00-model_states.pt. 0: [2022-11-26 03:47:07,953] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step17000/layer_03-model_00-model_states.pt... 0: [2022-11-26 03:47:08,113] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step17000/layer_03-model_00-model_states.pt. 0: [2022-11-26 03:47:08,114] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_2b8/global_step17000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-26 03:47:15,259] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step17000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-26 03:47:15,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 19: [2022-11-26 03:47:15,260] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step17000/bf16_zero_pp_rank_155_mp_rank_00_optim_states.pt. 19: [2022-11-26 03:47:15,260] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step17000/bf16_zero_pp_rank_155_mp_rank_00_optim_states.pt 19: [2022-11-26 03:47:15,260] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 19: [2022-11-26 03:47:15,260] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_2b8/global_step17000/bf16_zero_pp_rank_75_mp_rank_00_optim_states.pt 9: [2022-11-26 03:47:15,288] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 0: successfully saved checkpoint at iteration 17000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 7657.96 31: iteration 17010/ 33899 | consumed samples: 8709120 | consumed tokens: 17836277760 | elapsed time per iteration (s): 2.66 | learning rate: 1.109E-04 | global batch size: 512 | lm loss: 2.063890E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 192.410 | TFLOPs: 28.88 | 31: iteration 17020/ 33899 | consumed samples: 8714240 | consumed tokens: 17846763520 | elapsed time per iteration (s): 1.88 | learning rate: 1.108E-04 | global batch size: 512 | lm loss: 2.054931E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.371 | TFLOPs: 40.88 | 31: iteration 17030/ 33899 | consumed samples: 8719360 | consumed tokens: 17857249280 | elapsed time per iteration (s): 1.89 | learning rate: 1.108E-04 | global batch size: 512 | lm loss: 2.036395E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.282 | TFLOPs: 40.72 | 31: iteration 17040/ 33899 | consumed samples: 8724480 | consumed tokens: 17867735040 | elapsed time per iteration (s): 1.88 | learning rate: 1.107E-04 | global batch size: 512 | lm loss: 2.050111E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.403 | TFLOPs: 40.89 | 31: iteration 17050/ 33899 | consumed samples: 8729600 | consumed tokens: 17878220800 | elapsed time per iteration (s): 1.91 | learning rate: 1.106E-04 | global batch size: 512 | lm loss: 2.057144E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.989 | TFLOPs: 40.22 | 31: iteration 17060/ 33899 | consumed samples: 8734720 | consumed tokens: 17888706560 | elapsed time per iteration (s): 1.85 | learning rate: 1.105E-04 | global batch size: 512 | lm loss: 2.043341E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.323 | TFLOPs: 41.62 | 31: iteration 17070/ 33899 | consumed samples: 8739840 | consumed tokens: 17899192320 | elapsed time per iteration (s): 1.86 | learning rate: 1.104E-04 | global batch size: 512 | lm loss: 2.046700E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.639 | TFLOPs: 41.22 | 31: iteration 17080/ 33899 | consumed samples: 8744960 | consumed tokens: 17909678080 | elapsed time per iteration (s): 2.02 | learning rate: 1.103E-04 | global batch size: 512 | lm loss: 2.042890E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 253.176 | TFLOPs: 38.00 | 31: iteration 17090/ 33899 | consumed samples: 8750080 | consumed tokens: 17920163840 | elapsed time per iteration (s): 3.85 | learning rate: 1.102E-04 | global batch size: 512 | lm loss: 2.064711E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 133.050 | TFLOPs: 19.97 | 31: iteration 17100/ 33899 | consumed samples: 8755200 | consumed tokens: 17930649600 | elapsed time per iteration (s): 1.89 | learning rate: 1.102E-04 | global batch size: 512 | lm loss: 2.041487E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.220 | TFLOPs: 40.71 | 31: iteration 17110/ 33899 | consumed samples: 8760320 | consumed tokens: 17941135360 | elapsed time per iteration (s): 1.94 | learning rate: 1.101E-04 | global batch size: 512 | lm loss: 2.046754E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.895 | TFLOPs: 39.61 | 31: iteration 17120/ 33899 | consumed samples: 8765440 | consumed tokens: 17951621120 | elapsed time per iteration (s): 2.03 | learning rate: 1.100E-04 | global batch size: 512 | lm loss: 2.028372E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 252.675 | TFLOPs: 37.93 | 31: iteration 17130/ 33899 | consumed samples: 8770560 | consumed tokens: 17962106880 | elapsed time per iteration (s): 1.85 | learning rate: 1.099E-04 | global batch size: 512 | lm loss: 2.046046E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.242 | TFLOPs: 41.61 | 31: iteration 17140/ 33899 | consumed samples: 8775680 | consumed tokens: 17972592640 | elapsed time per iteration (s): 1.93 | learning rate: 1.098E-04 | global batch size: 512 | lm loss: 2.061872E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.097 | TFLOPs: 39.79 | 31: iteration 17150/ 33899 | consumed samples: 8780800 | consumed tokens: 17983078400 | elapsed time per iteration (s): 1.90 | learning rate: 1.097E-04 | global batch size: 512 | lm loss: 2.070977E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.975 | TFLOPs: 40.52 | 31: iteration 17160/ 33899 | consumed samples: 8785920 | consumed tokens: 17993564160 | elapsed time per iteration (s): 1.90 | learning rate: 1.097E-04 | global batch size: 512 | lm loss: 2.069656E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.828 | TFLOPs: 40.50 | 31: iteration 17170/ 33899 | consumed samples: 8791040 | consumed tokens: 18004049920 | elapsed time per iteration (s): 1.93 | learning rate: 1.096E-04 | global batch size: 512 | lm loss: 2.048173E+00 | grad norm: 0.118 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.497 | TFLOPs: 39.85 | 31: iteration 17180/ 33899 | consumed samples: 8796160 | consumed tokens: 18014535680 | elapsed time per iteration (s): 1.91 | learning rate: 1.095E-04 | global batch size: 512 | lm loss: 2.026291E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.639 | TFLOPs: 40.17 | 31: iteration 17190/ 33899 | consumed samples: 8801280 | consumed tokens: 18025021440 | elapsed time per iteration (s): 1.90 | learning rate: 1.094E-04 | global batch size: 512 | lm loss: 2.068154E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.770 | TFLOPs: 40.34 | 31: iteration 17200/ 33899 | consumed samples: 8806400 | consumed tokens: 18035507200 | elapsed time per iteration (s): 1.98 | learning rate: 1.093E-04 | global batch size: 512 | lm loss: 2.048849E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.016 | TFLOPs: 38.88 | 31: iteration 17210/ 33899 | consumed samples: 8811520 | consumed tokens: 18045992960 | elapsed time per iteration (s): 1.84 | learning rate: 1.092E-04 | global batch size: 512 | lm loss: 2.059704E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.325 | TFLOPs: 41.78 | 31: iteration 17220/ 33899 | consumed samples: 8816640 | consumed tokens: 18056478720 | elapsed time per iteration (s): 1.88 | learning rate: 1.092E-04 | global batch size: 512 | lm loss: 2.060255E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.886 | TFLOPs: 40.81 | 31: iteration 17230/ 33899 | consumed samples: 8821760 | consumed tokens: 18066964480 | elapsed time per iteration (s): 1.88 | learning rate: 1.091E-04 | global batch size: 512 | lm loss: 2.041478E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.740 | TFLOPs: 40.79 | 31: iteration 17240/ 33899 | consumed samples: 8826880 | consumed tokens: 18077450240 | elapsed time per iteration (s): 1.84 | learning rate: 1.090E-04 | global batch size: 512 | lm loss: 2.023403E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.202 | TFLOPs: 41.76 | 31: iteration 17250/ 33899 | consumed samples: 8832000 | consumed tokens: 18087936000 | elapsed time per iteration (s): 1.93 | learning rate: 1.089E-04 | global batch size: 512 | lm loss: 2.027099E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.961 | TFLOPs: 39.92 | 31: iteration 17260/ 33899 | consumed samples: 8837120 | consumed tokens: 18098421760 | elapsed time per iteration (s): 1.82 | learning rate: 1.088E-04 | global batch size: 512 | lm loss: 2.027287E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.351 | TFLOPs: 42.23 | 31: iteration 17270/ 33899 | consumed samples: 8842240 | consumed tokens: 18108907520 | elapsed time per iteration (s): 1.92 | learning rate: 1.087E-04 | global batch size: 512 | lm loss: 2.043058E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.519 | TFLOPs: 40.00 | 31: iteration 17280/ 33899 | consumed samples: 8847360 | consumed tokens: 18119393280 | elapsed time per iteration (s): 1.90 | learning rate: 1.086E-04 | global batch size: 512 | lm loss: 2.043835E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.183 | TFLOPs: 40.55 | 31: iteration 17290/ 33899 | consumed samples: 8852480 | consumed tokens: 18129879040 | elapsed time per iteration (s): 1.82 | learning rate: 1.086E-04 | global batch size: 512 | lm loss: 2.055740E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.925 | TFLOPs: 42.17 | 31: iteration 17300/ 33899 | consumed samples: 8857600 | consumed tokens: 18140364800 | elapsed time per iteration (s): 1.79 | learning rate: 1.085E-04 | global batch size: 512 | lm loss: 2.027697E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.247 | TFLOPs: 42.81 | 31: iteration 17310/ 33899 | consumed samples: 8862720 | consumed tokens: 18150850560 | elapsed time per iteration (s): 1.81 | learning rate: 1.084E-04 | global batch size: 512 | lm loss: 2.014549E+00 | grad 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batch size: 512 | lm loss: 2.050244E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.419 | TFLOPs: 40.44 | 31: iteration 17350/ 33899 | consumed samples: 8883200 | consumed tokens: 18192793600 | elapsed time per iteration (s): 1.83 | learning rate: 1.081E-04 | global batch size: 512 | lm loss: 2.040524E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.544 | TFLOPs: 41.96 | 31: iteration 17360/ 33899 | consumed samples: 8888320 | consumed tokens: 18203279360 | elapsed time per iteration (s): 1.82 | learning rate: 1.080E-04 | global batch size: 512 | lm loss: 2.050359E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.649 | TFLOPs: 42.12 | 31: iteration 17370/ 33899 | consumed samples: 8893440 | consumed tokens: 18213765120 | elapsed time per iteration (s): 1.83 | learning rate: 1.079E-04 | global batch size: 512 | lm loss: 2.056413E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.016 | TFLOPs: 42.03 | 31: iteration 17380/ 33899 | consumed samples: 8898560 | consumed tokens: 18224250880 | elapsed time per iteration (s): 1.81 | learning rate: 1.078E-04 | global batch size: 512 | lm loss: 2.044537E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.603 | TFLOPs: 42.42 | 31: iteration 17390/ 33899 | consumed samples: 8903680 | consumed tokens: 18234736640 | elapsed time per iteration (s): 1.98 | learning rate: 1.077E-04 | global batch size: 512 | lm loss: 2.020402E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.008 | TFLOPs: 38.88 | 31: iteration 17400/ 33899 | consumed samples: 8908800 | consumed 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second: 271.643 | TFLOPs: 40.77 | 31: iteration 17460/ 33899 | consumed samples: 8939520 | consumed tokens: 18308136960 | elapsed time per iteration (s): 1.90 | learning rate: 1.071E-04 | global batch size: 512 | lm loss: 2.043196E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.285 | TFLOPs: 40.42 | 31: iteration 17470/ 33899 | consumed samples: 8944640 | consumed tokens: 18318622720 | elapsed time per iteration (s): 1.80 | learning rate: 1.070E-04 | global batch size: 512 | lm loss: 2.043205E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.629 | TFLOPs: 42.72 | 31: iteration 17480/ 33899 | consumed samples: 8949760 | consumed tokens: 18329108480 | elapsed time per iteration (s): 1.87 | learning rate: 1.070E-04 | global batch size: 512 | lm loss: 2.040231E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.139 | TFLOPs: 41.15 | 31: iteration 17490/ 33899 | consumed samples: 8954880 | consumed tokens: 18339594240 | elapsed time per iteration (s): 1.87 | learning rate: 1.069E-04 | global batch size: 512 | lm loss: 2.059775E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.316 | TFLOPs: 41.17 | 31: iteration 17500/ 33899 | consumed samples: 8960000 | consumed tokens: 18350080000 | elapsed time per iteration (s): 1.92 | learning rate: 1.068E-04 | global batch size: 512 | lm loss: 2.074490E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.080 | TFLOPs: 39.94 | 31: iteration 17510/ 33899 | consumed samples: 8965120 | consumed tokens: 18360565760 | elapsed time per iteration (s): 1.82 | learning rate: 1.067E-04 | global batch size: 512 | lm loss: 2.060762E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.739 | TFLOPs: 42.29 | 31: iteration 17520/ 33899 | consumed samples: 8970240 | consumed tokens: 18371051520 | elapsed time per iteration (s): 1.87 | learning rate: 1.066E-04 | global batch size: 512 | lm loss: 2.049354E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.701 | TFLOPs: 41.08 | 31: iteration 17530/ 33899 | consumed samples: 8975360 | consumed tokens: 18381537280 | elapsed time per iteration (s): 1.90 | learning rate: 1.065E-04 | global batch size: 512 | lm loss: 2.051781E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.810 | TFLOPs: 40.50 | 31: iteration 17540/ 33899 | consumed samples: 8980480 | consumed tokens: 18392023040 | elapsed time per iteration (s): 1.88 | learning rate: 1.065E-04 | global batch size: 512 | lm loss: 2.037753E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.903 | TFLOPs: 40.81 | 31: iteration 17550/ 33899 | consumed samples: 8985600 | consumed tokens: 18402508800 | elapsed time per iteration (s): 1.79 | learning rate: 1.064E-04 | global batch size: 512 | lm loss: 2.026723E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.558 | TFLOPs: 42.86 | 31: iteration 17560/ 33899 | consumed samples: 8990720 | consumed tokens: 18412994560 | elapsed time per iteration (s): 1.89 | learning rate: 1.063E-04 | global batch size: 512 | lm loss: 2.031652E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.344 | TFLOPs: 40.73 | 31: iteration 17570/ 33899 | consumed samples: 8995840 | consumed tokens: 18423480320 | elapsed time per iteration (s): 1.94 | learning rate: 1.062E-04 | global batch size: 512 | lm loss: 2.050011E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.698 | TFLOPs: 39.58 | 31: iteration 17580/ 33899 | consumed samples: 9000960 | consumed tokens: 18433966080 | elapsed time per iteration (s): 1.97 | learning rate: 1.061E-04 | global batch size: 512 | lm loss: 2.040521E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.372 | TFLOPs: 38.93 | 31: iteration 17590/ 33899 | consumed samples: 9006080 | consumed tokens: 18444451840 | elapsed time per iteration (s): 1.91 | learning rate: 1.060E-04 | global batch size: 512 | lm loss: 2.029468E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.727 | TFLOPs: 40.18 | 31: iteration 17600/ 33899 | consumed samples: 9011200 | consumed tokens: 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| consumed samples: 9026560 | consumed tokens: 18486394880 | elapsed time per iteration (s): 1.86 | learning rate: 1.057E-04 | global batch size: 512 | lm loss: 2.032627E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.243 | TFLOPs: 41.31 | 31: iteration 17640/ 33899 | consumed samples: 9031680 | consumed tokens: 18496880640 | elapsed time per iteration (s): 1.99 | learning rate: 1.056E-04 | global batch size: 512 | lm loss: 2.044947E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 257.692 | TFLOPs: 38.68 | 31: iteration 17650/ 33899 | consumed samples: 9036800 | consumed tokens: 18507366400 | elapsed time per iteration (s): 1.89 | learning rate: 1.055E-04 | global batch size: 512 | lm loss: 2.036221E+00 | grad norm: 0.122 | 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: 268.775 | TFLOPs: 40.34 | 31: iteration 17690/ 33899 | consumed samples: 9057280 | consumed tokens: 18549309440 | elapsed time per iteration (s): 2.02 | learning rate: 1.052E-04 | global batch size: 512 | lm loss: 2.037292E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 253.464 | TFLOPs: 38.04 | 31: iteration 17700/ 33899 | consumed samples: 9062400 | consumed tokens: 18559795200 | elapsed time per iteration (s): 2.07 | learning rate: 1.051E-04 | global batch size: 512 | lm loss: 2.058525E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 247.644 | TFLOPs: 37.17 | 31: iteration 17710/ 33899 | consumed samples: 9067520 | consumed tokens: 18570280960 | elapsed time per iteration (s): 1.99 | learning rate: 1.050E-04 | global batch size: 512 | lm loss: 2.035828E+00 | grad norm: 0.129 | num 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lm loss: 2.049801E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.565 | TFLOPs: 43.16 | 31: iteration 17750/ 33899 | consumed samples: 9088000 | consumed tokens: 18612224000 | elapsed time per iteration (s): 1.82 | learning rate: 1.047E-04 | global batch size: 512 | lm loss: 2.052757E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.580 | TFLOPs: 42.26 | 31: iteration 17760/ 33899 | consumed samples: 9093120 | consumed tokens: 18622709760 | elapsed time per iteration (s): 1.79 | learning rate: 1.046E-04 | global batch size: 512 | lm loss: 2.040646E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.671 | TFLOPs: 43.03 | 31: iteration 17770/ 33899 | consumed samples: 9098240 | consumed tokens: 18633195520 | elapsed time per iteration (s): 1.88 | learning rate: 1.045E-04 | global batch size: 512 | lm loss: 2.029602E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.497 | TFLOPs: 40.90 | 31: iteration 17780/ 33899 | consumed samples: 9103360 | consumed tokens: 18643681280 | elapsed time per iteration (s): 1.84 | learning rate: 1.044E-04 | global batch size: 512 | lm loss: 2.053683E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.499 | TFLOPs: 41.80 | 31: iteration 17790/ 33899 | consumed samples: 9108480 | consumed tokens: 18654167040 | elapsed time per iteration (s): 1.83 | learning rate: 1.044E-04 | global batch size: 512 | lm loss: 2.048724E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.141 | TFLOPs: 41.90 | 31: iteration 17800/ 33899 | consumed samples: 9113600 | consumed tokens: 18664652800 | elapsed time per iteration (s): 1.79 | learning rate: 1.043E-04 | global batch size: 512 | lm loss: 2.022242E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.582 | TFLOPs: 42.86 | 31: iteration 17810/ 33899 | consumed samples: 9118720 | consumed tokens: 18675138560 | elapsed time per iteration (s): 1.81 | learning rate: 1.042E-04 | global batch size: 512 | lm loss: 2.039020E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.457 | TFLOPs: 42.55 | 31: iteration 17820/ 33899 | consumed samples: 9123840 | consumed tokens: 18685624320 | elapsed time per iteration (s): 1.83 | learning rate: 1.041E-04 | global batch size: 512 | lm loss: 2.039755E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.036 | TFLOPs: 42.03 | 31: iteration 17830/ 33899 | consumed samples: 9128960 | consumed tokens: 18696110080 | elapsed time per iteration (s): 1.89 | learning rate: 1.040E-04 | global batch size: 512 | lm loss: 2.041367E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.395 | TFLOPs: 40.73 | 31: iteration 17840/ 33899 | consumed samples: 9134080 | consumed tokens: 18706595840 | elapsed time per iteration (s): 1.93 | learning rate: 1.039E-04 | global batch size: 512 | lm loss: 2.044809E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.832 | TFLOPs: 39.90 | 31: iteration 17850/ 33899 | consumed samples: 9139200 | consumed tokens: 18717081600 | elapsed time per iteration (s): 1.79 | learning rate: 1.038E-04 | global batch size: 512 | lm loss: 2.017181E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.407 | TFLOPs: 42.99 | 31: iteration 17860/ 33899 | consumed samples: 9144320 | consumed tokens: 18727567360 | elapsed time per iteration (s): 1.82 | learning rate: 1.038E-04 | global batch size: 512 | lm loss: 2.030051E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.775 | TFLOPs: 42.14 | 31: iteration 17870/ 33899 | consumed samples: 9149440 | consumed tokens: 18738053120 | elapsed time per iteration (s): 1.88 | learning rate: 1.037E-04 | global batch size: 512 | lm loss: 2.054184E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.437 | TFLOPs: 40.89 | 31: iteration 17880/ 33899 | consumed samples: 9154560 | consumed tokens: 18748538880 | elapsed time per iteration (s): 3.84 | learning rate: 1.036E-04 | global batch size: 512 | lm loss: 2.038188E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 133.477 | TFLOPs: 20.03 | 31: iteration 17890/ 33899 | consumed samples: 9159680 | consumed tokens: 18759024640 | elapsed time per iteration (s): 1.80 | learning rate: 1.035E-04 | global batch size: 512 | lm loss: 2.024483E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.696 | TFLOPs: 42.73 | 31: iteration 17900/ 33899 | consumed samples: 9164800 | consumed tokens: 18769510400 | elapsed time per iteration (s): 1.88 | learning rate: 1.034E-04 | global batch size: 512 | lm loss: 2.029846E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.125 | TFLOPs: 40.84 | 31: iteration 17910/ 33899 | consumed samples: 9169920 | consumed tokens: 18779996160 | elapsed time per iteration (s): 1.76 | learning rate: 1.033E-04 | global batch size: 512 | lm loss: 2.037392E+00 | grad norm: 0.119 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.236 | TFLOPs: 43.56 | 31: iteration 17920/ 33899 | consumed samples: 9175040 | consumed tokens: 18790481920 | elapsed time per iteration (s): 1.84 | learning rate: 1.033E-04 | global batch size: 512 | lm loss: 2.010810E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.815 | TFLOPs: 41.85 | 31: iteration 17930/ 33899 | consumed samples: 9180160 | consumed tokens: 18800967680 | elapsed time per iteration (s): 1.81 | learning rate: 1.032E-04 | global batch size: 512 | lm loss: 2.042470E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.441 | TFLOPs: 42.54 | 31: iteration 17940/ 33899 | consumed samples: 9185280 | consumed tokens: 18811453440 | elapsed time per iteration (s): 1.83 | learning rate: 1.031E-04 | global batch size: 512 | lm loss: 2.048995E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.632 | TFLOPs: 41.97 | 31: iteration 17950/ 33899 | consumed samples: 9190400 | consumed tokens: 18821939200 | elapsed time per iteration (s): 1.88 | learning rate: 1.030E-04 | global batch size: 512 | lm loss: 2.035568E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.171 | TFLOPs: 40.85 | 31: iteration 17960/ 33899 | consumed samples: 9195520 | consumed tokens: 18832424960 | elapsed time per iteration (s): 1.85 | learning rate: 1.029E-04 | global batch size: 512 | lm loss: 2.039455E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.298 | TFLOPs: 41.62 | 31: iteration 17970/ 33899 | consumed samples: 9200640 | consumed tokens: 18842910720 | elapsed time per iteration (s): 1.85 | learning rate: 1.028E-04 | global batch size: 512 | lm loss: 2.022413E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.123 | TFLOPs: 41.59 | 31: iteration 17980/ 33899 | consumed samples: 9205760 | consumed tokens: 18853396480 | elapsed time per iteration (s): 1.83 | learning rate: 1.028E-04 | global batch size: 512 | lm loss: 2.054139E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.213 | TFLOPs: 41.91 | 31: iteration 17990/ 33899 | consumed samples: 9210880 | consumed tokens: 18863882240 | elapsed time per iteration (s): 1.80 | learning rate: 1.027E-04 | global batch size: 512 | lm loss: 2.031587E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.584 | TFLOPs: 42.71 | 0: [2022-11-26 04:19:07,419] [INFO] [logging.py:68:log_dist] [Rank 0] step=18000, skipped=0, lr=[0.0001025881114343296, 0.0001025881114343296, 0.0001025881114343296], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 18000/ 33899 | consumed samples: 9216000 | consumed tokens: 18874368000 | elapsed time per iteration (s): 1.82 | learning rate: 1.026E-04 | global batch size: 512 | lm loss: 2.036922E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.412 | TFLOPs: 42.24 | 0: steps: 18000 loss: 2.0543 iter time (s): 1.931 samples/sec: 265.111 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 18000 | lm loss value: 2.035195E+00 | lm loss PPL: 7.653745E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 18000 to checkpoints_2b8 0: [2022-11-26 04:19:08,046] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint 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time (ms) | save-checkpoint: 7221.90 31: iteration 18010/ 33899 | consumed samples: 9221120 | consumed tokens: 18884853760 | elapsed time per iteration (s): 2.61 | learning rate: 1.025E-04 | global batch size: 512 | lm loss: 2.028128E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 195.818 | TFLOPs: 29.39 | 31: iteration 18020/ 33899 | consumed samples: 9226240 | consumed tokens: 18895339520 | elapsed time per iteration (s): 1.89 | learning rate: 1.024E-04 | global batch size: 512 | lm loss: 2.022738E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.330 | TFLOPs: 40.73 | 31: iteration 18030/ 33899 | consumed samples: 9231360 | consumed tokens: 18905825280 | elapsed time per iteration (s): 1.81 | learning rate: 1.023E-04 | global batch size: 512 | lm loss: 2.051467E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.561 | TFLOPs: 42.41 | 31: iteration 18040/ 33899 | consumed samples: 9236480 | consumed tokens: 18916311040 | elapsed time per iteration (s): 1.83 | learning rate: 1.023E-04 | global batch size: 512 | lm loss: 2.033667E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.750 | TFLOPs: 41.99 | 31: iteration 18050/ 33899 | consumed samples: 9241600 | consumed tokens: 18926796800 | elapsed time per iteration (s): 1.81 | learning rate: 1.022E-04 | global batch size: 512 | lm loss: 2.042502E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.600 | TFLOPs: 42.42 | 31: iteration 18060/ 33899 | consumed samples: 9246720 | consumed tokens: 18937282560 | elapsed time per iteration (s): 1.79 | learning rate: 1.021E-04 | global batch size: 512 | lm loss: 2.036974E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.520 | TFLOPs: 42.86 | 31: iteration 18070/ 33899 | consumed samples: 9251840 | consumed tokens: 18947768320 | elapsed time per iteration (s): 1.83 | learning rate: 1.020E-04 | global batch size: 512 | lm loss: 2.015467E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.349 | TFLOPs: 41.93 | 31: iteration 18080/ 33899 | consumed samples: 9256960 | consumed tokens: 18958254080 | elapsed time per iteration (s): 1.78 | learning rate: 1.019E-04 | global batch size: 512 | lm loss: 2.064115E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.503 | TFLOPs: 43.15 | 31: iteration 18090/ 33899 | consumed samples: 9262080 | consumed tokens: 18968739840 | elapsed time per iteration (s): 1.79 | learning rate: 1.018E-04 | global batch size: 512 | lm loss: 2.043123E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.257 | TFLOPs: 42.82 | 31: iteration 18100/ 33899 | consumed samples: 9267200 | consumed tokens: 18979225600 | elapsed time per iteration (s): 1.82 | learning rate: 1.017E-04 | global batch size: 512 | lm loss: 2.045295E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.792 | TFLOPs: 42.30 | 31: iteration 18110/ 33899 | consumed samples: 9272320 | consumed tokens: 18989711360 | elapsed time per iteration (s): 1.79 | learning rate: 1.017E-04 | global batch size: 512 | lm loss: 2.042316E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.742 | TFLOPs: 42.89 | 31: iteration 18120/ 33899 | consumed samples: 9277440 | consumed tokens: 19000197120 | elapsed time per iteration (s): 1.77 | learning rate: 1.016E-04 | global batch size: 512 | lm loss: 2.051443E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.786 | TFLOPs: 43.35 | 31: iteration 18130/ 33899 | consumed samples: 9282560 | consumed tokens: 19010682880 | elapsed time per iteration (s): 1.78 | learning rate: 1.015E-04 | global batch size: 512 | lm loss: 2.020884E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.468 | TFLOPs: 43.15 | 31: iteration 18140/ 33899 | consumed samples: 9287680 | consumed tokens: 19021168640 | elapsed time per iteration (s): 1.79 | learning rate: 1.014E-04 | global batch size: 512 | lm loss: 2.040280E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.668 | TFLOPs: 43.03 | 31: iteration 18150/ 33899 | consumed samples: 9292800 | consumed tokens: 19031654400 | elapsed time per iteration (s): 1.78 | learning rate: 1.013E-04 | global batch size: 512 | lm loss: 2.052217E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.222 | TFLOPs: 43.11 | 31: iteration 18160/ 33899 | consumed samples: 9297920 | consumed tokens: 19042140160 | elapsed time per iteration (s): 1.83 | learning rate: 1.012E-04 | global batch size: 512 | lm loss: 2.035163E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.941 | TFLOPs: 42.02 | 31: iteration 18170/ 33899 | consumed samples: 9303040 | consumed tokens: 19052625920 | elapsed time per iteration (s): 1.83 | learning rate: 1.012E-04 | global batch size: 512 | lm loss: 2.025267E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.476 | TFLOPs: 41.95 | 31: iteration 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second: 287.565 | TFLOPs: 43.16 | 31: iteration 18210/ 33899 | consumed samples: 9323520 | consumed tokens: 19094568960 | elapsed time per iteration (s): 1.76 | learning rate: 1.008E-04 | global batch size: 512 | lm loss: 2.022452E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.642 | TFLOPs: 43.62 | 31: iteration 18220/ 33899 | consumed samples: 9328640 | consumed tokens: 19105054720 | elapsed time per iteration (s): 1.77 | learning rate: 1.007E-04 | global batch size: 512 | lm loss: 2.028238E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.123 | TFLOPs: 43.40 | 31: iteration 18230/ 33899 | consumed samples: 9333760 | consumed tokens: 19115540480 | elapsed time per iteration (s): 1.85 | learning rate: 1.007E-04 | global batch size: 512 | lm loss: 2.041616E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.375 | TFLOPs: 41.48 | 31: iteration 18240/ 33899 | consumed samples: 9338880 | consumed tokens: 19126026240 | elapsed time per iteration (s): 2.08 | learning rate: 1.006E-04 | global batch size: 512 | lm loss: 2.031478E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 246.188 | TFLOPs: 36.95 | 31: iteration 18250/ 33899 | consumed samples: 9344000 | consumed tokens: 19136512000 | elapsed time per iteration (s): 1.76 | learning rate: 1.005E-04 | global batch size: 512 | lm loss: 2.031818E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.950 | TFLOPs: 43.67 | 31: iteration 18260/ 33899 | consumed samples: 9349120 | consumed tokens: 19146997760 | elapsed time per iteration (s): 1.76 | learning rate: 1.004E-04 | global batch size: 512 | lm loss: 2.024222E+00 | grad norm: 0.132 | 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512 | lm loss: 2.014762E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.422 | TFLOPs: 43.14 | 31: iteration 18300/ 33899 | consumed samples: 9369600 | consumed tokens: 19188940800 | elapsed time per iteration (s): 1.74 | learning rate: 1.001E-04 | global batch size: 512 | lm loss: 2.007407E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 294.773 | TFLOPs: 44.24 | 31: iteration 18310/ 33899 | consumed samples: 9374720 | consumed tokens: 19199426560 | elapsed time per iteration (s): 1.80 | learning rate: 9.999E-05 | global batch size: 512 | lm loss: 2.049298E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.165 | TFLOPs: 42.80 | 31: iteration 18320/ 33899 | consumed samples: 9379840 | consumed tokens: 19209912320 | elapsed time per iteration (s): 1.81 | 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| consumed samples: 9410560 | consumed tokens: 19272826880 | elapsed time per iteration (s): 1.78 | learning rate: 9.940E-05 | global batch size: 512 | lm loss: 2.027088E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.880 | TFLOPs: 43.21 | 31: iteration 18390/ 33899 | consumed samples: 9415680 | consumed tokens: 19283312640 | elapsed time per iteration (s): 1.83 | learning rate: 9.932E-05 | global batch size: 512 | lm loss: 2.039808E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.918 | TFLOPs: 42.01 | 31: iteration 18400/ 33899 | consumed samples: 9420800 | consumed tokens: 19293798400 | elapsed time per iteration (s): 1.77 | learning rate: 9.924E-05 | global batch size: 512 | lm loss: 2.028738E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.587 | TFLOPs: 43.47 | 31: iteration 18410/ 33899 | consumed samples: 9425920 | consumed tokens: 19304284160 | elapsed time per iteration (s): 1.83 | learning rate: 9.915E-05 | global batch size: 512 | lm loss: 2.037017E+00 | grad norm: 0.120 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.731 | TFLOPs: 41.99 | 31: iteration 18420/ 33899 | consumed samples: 9431040 | consumed tokens: 19314769920 | elapsed time per iteration (s): 1.76 | learning rate: 9.907E-05 | global batch size: 512 | lm loss: 2.029923E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.188 | TFLOPs: 43.56 | 31: iteration 18430/ 33899 | consumed samples: 9436160 | consumed tokens: 19325255680 | elapsed time per iteration (s): 1.93 | learning rate: 9.898E-05 | global batch size: 512 | lm loss: 2.046494E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.468 | TFLOPs: 39.85 | 31: iteration 18440/ 33899 | consumed samples: 9441280 | consumed tokens: 19335741440 | elapsed time per iteration (s): 1.82 | learning rate: 9.890E-05 | global batch size: 512 | lm loss: 2.004868E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.963 | TFLOPs: 42.17 | 31: iteration 18450/ 33899 | consumed samples: 9446400 | consumed tokens: 19346227200 | elapsed time per iteration (s): 1.88 | learning rate: 9.882E-05 | global batch size: 512 | lm loss: 2.037658E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.051 | TFLOPs: 40.83 | 31: iteration 18460/ 33899 | consumed samples: 9451520 | consumed tokens: 19356712960 | elapsed time per iteration (s): 1.81 | learning rate: 9.873E-05 | global batch size: 512 | lm loss: 2.043707E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.163 | TFLOPs: 42.50 | 31: iteration 18470/ 33899 | consumed samples: 9456640 | consumed tokens: 19367198720 | elapsed time per iteration (s): 1.79 | learning rate: 9.865E-05 | global batch size: 512 | lm loss: 2.055267E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.633 | TFLOPs: 43.02 | 31: iteration 18480/ 33899 | consumed samples: 9461760 | consumed tokens: 19377684480 | elapsed time per iteration (s): 1.81 | learning rate: 9.857E-05 | global batch size: 512 | lm loss: 2.023258E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.523 | TFLOPs: 42.41 | 31: iteration 18490/ 33899 | consumed samples: 9466880 | consumed tokens: 19388170240 | elapsed time per iteration (s): 1.85 | learning rate: 9.848E-05 | global batch size: 512 | lm loss: 2.047462E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.288 | TFLOPs: 41.62 | 31: iteration 18500/ 33899 | consumed samples: 9472000 | consumed tokens: 19398656000 | elapsed time per iteration (s): 1.84 | learning rate: 9.840E-05 | global batch size: 512 | lm loss: 2.021202E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.548 | TFLOPs: 41.66 | 31: iteration 18510/ 33899 | consumed samples: 9477120 | consumed tokens: 19409141760 | elapsed time per iteration (s): 1.91 | learning rate: 9.832E-05 | global batch size: 512 | lm loss: 2.028452E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.759 | TFLOPs: 40.19 | 31: iteration 18520/ 33899 | consumed samples: 9482240 | consumed tokens: 19419627520 | elapsed time per iteration (s): 1.78 | 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| consumed samples: 9512960 | consumed tokens: 19482542080 | elapsed time per iteration (s): 1.89 | learning rate: 9.773E-05 | global batch size: 512 | lm loss: 2.038562E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.866 | TFLOPs: 40.66 | 31: iteration 18590/ 33899 | consumed samples: 9518080 | consumed tokens: 19493027840 | elapsed time per iteration (s): 1.84 | learning rate: 9.765E-05 | global batch size: 512 | lm loss: 2.020549E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.618 | TFLOPs: 41.67 | 31: iteration 18600/ 33899 | consumed samples: 9523200 | consumed tokens: 19503513600 | elapsed time per iteration (s): 1.86 | learning rate: 9.756E-05 | global batch size: 512 | lm loss: 2.021640E+00 | grad norm: 0.126 | 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: 285.535 | TFLOPs: 42.86 | 31: iteration 18640/ 33899 | consumed samples: 9543680 | consumed tokens: 19545456640 | elapsed time per iteration (s): 1.83 | learning rate: 9.723E-05 | global batch size: 512 | lm loss: 2.044845E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.492 | TFLOPs: 42.10 | 31: iteration 18650/ 33899 | consumed samples: 9548800 | consumed tokens: 19555942400 | elapsed time per iteration (s): 1.85 | learning rate: 9.715E-05 | global batch size: 512 | lm loss: 2.027677E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.029 | TFLOPs: 41.43 | 31: iteration 18660/ 33899 | consumed samples: 9553920 | consumed tokens: 19566428160 | elapsed time per iteration (s): 1.78 | learning rate: 9.706E-05 | global batch size: 512 | lm loss: 2.029190E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.274 | TFLOPs: 43.27 | 31: iteration 18670/ 33899 | consumed samples: 9559040 | consumed tokens: 19576913920 | elapsed time per iteration (s): 1.79 | learning rate: 9.698E-05 | global batch size: 512 | lm loss: 2.023029E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.797 | TFLOPs: 43.05 | 31: iteration 18680/ 33899 | consumed samples: 9564160 | consumed tokens: 19587399680 | elapsed time per iteration (s): 1.79 | learning rate: 9.690E-05 | global batch size: 512 | lm loss: 2.036181E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.185 | TFLOPs: 42.95 | 31: iteration 18690/ 33899 | consumed samples: 9569280 | consumed tokens: 19597885440 | elapsed time per iteration (s): 1.85 | learning rate: 9.681E-05 | global batch size: 512 | lm loss: 2.041482E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.553 | TFLOPs: 41.51 | 31: iteration 18700/ 33899 | consumed samples: 9574400 | consumed tokens: 19608371200 | elapsed time per iteration (s): 1.89 | learning rate: 9.673E-05 | global batch size: 512 | lm loss: 2.018097E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.726 | TFLOPs: 40.63 | 31: iteration 18710/ 33899 | consumed samples: 9579520 | consumed tokens: 19618856960 | elapsed time per iteration (s): 1.81 | learning rate: 9.665E-05 | global batch size: 512 | lm loss: 2.003486E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.168 | TFLOPs: 42.35 | 31: iteration 18720/ 33899 | consumed samples: 9584640 | consumed tokens: 19629342720 | elapsed time per iteration (s): 1.80 | learning rate: 9.656E-05 | global batch size: 512 | lm loss: 2.017048E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.686 | TFLOPs: 42.73 | 31: iteration 18730/ 33899 | consumed samples: 9589760 | consumed tokens: 19639828480 | elapsed time per iteration (s): 1.86 | learning rate: 9.648E-05 | global batch size: 512 | lm loss: 2.035963E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.761 | TFLOPs: 41.24 | 31: iteration 18740/ 33899 | consumed samples: 9594880 | consumed tokens: 19650314240 | elapsed time per iteration (s): 1.79 | learning rate: 9.640E-05 | global batch size: 512 | lm loss: 2.037859E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.651 | TFLOPs: 42.87 | 31: iteration 18750/ 33899 | consumed samples: 9600000 | consumed tokens: 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| consumed samples: 9615360 | consumed tokens: 19692257280 | elapsed time per iteration (s): 1.76 | learning rate: 9.606E-05 | global batch size: 512 | lm loss: 2.002535E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.672 | TFLOPs: 43.78 | 31: iteration 18790/ 33899 | consumed samples: 9620480 | consumed tokens: 19702743040 | elapsed time per iteration (s): 1.81 | learning rate: 9.598E-05 | global batch size: 512 | lm loss: 2.039089E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.486 | TFLOPs: 42.40 | 31: iteration 18800/ 33899 | consumed samples: 9625600 | consumed tokens: 19713228800 | elapsed time per iteration (s): 1.79 | learning rate: 9.590E-05 | global batch size: 512 | lm loss: 2.028811E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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277.607 | TFLOPs: 41.67 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 19000 | lm loss value: 2.036401E+00 | lm loss PPL: 7.662983E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 19000 to checkpoints_2b8 0: [2022-11-26 04:50:09,546] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step19000 is begin to save! 0: [2022-11-26 04:50:09,560] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step19000/layer_01-model_00-model_states.pt... 0: [2022-11-26 04:50:09,855] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step19000/layer_01-model_00-model_states.pt. 0: [2022-11-26 04:50:09,856] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step19000/layer_03-model_00-model_states.pt... 0: [2022-11-26 04:50:10,027] 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checkpoints_2b8/global_step19000/bf16_zero_pp_rank_213_mp_rank_00_optim_states.pt 26: [2022-11-26 04:50:15,916] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 19: [2022-11-26 04:50:15,916] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step19000/bf16_zero_pp_rank_157_mp_rank_00_optim_states.pt. 19: [2022-11-26 04:50:15,916] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step19000/bf16_zero_pp_rank_157_mp_rank_00_optim_states.pt 19: [2022-11-26 04:50:15,917] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 31: [2022-11-26 04:50:15,917] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step19000/bf16_zero_pp_rank_250_mp_rank_00_optim_states.pt. 31: [2022-11-26 04:50:15,917] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step19000/bf16_zero_pp_rank_250_mp_rank_00_optim_states.pt 31: [2022-11-26 04:50:15,917] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 10: [2022-11-26 04:50:15,917] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step19000/bf16_zero_pp_rank_84_mp_rank_00_optim_states.pt. 10: [2022-11-26 04:50:15,917] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step19000/bf16_zero_pp_rank_84_mp_rank_00_optim_states.pt 10: [2022-11-26 04:50:15,917] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 0: [2022-11-26 04:50:15,918] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step19000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 13: [2022-11-26 04:50:15,919] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_2b8/global_step19000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-26 04:50:16,219] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step19000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-26 04:50:16,219] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 24: [2022-11-26 04:50:16,241] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step19000/bf16_zero_pp_rank_192_mp_rank_00_optim_states.pt. 24: [2022-11-26 04:50:16,241] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step19000/bf16_zero_pp_rank_192_mp_rank_00_optim_states.pt 24: [2022-11-26 04:50:16,241] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 0: successfully saved checkpoint at iteration 19000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 6734.29 31: iteration 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second: 290.109 | TFLOPs: 43.54 | 31: iteration 19040/ 33899 | consumed samples: 9748480 | consumed tokens: 19964887040 | elapsed time per iteration (s): 1.82 | learning rate: 9.390E-05 | global batch size: 512 | lm loss: 2.011531E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.005 | TFLOPs: 42.18 | 31: iteration 19050/ 33899 | consumed samples: 9753600 | consumed tokens: 19975372800 | elapsed time per iteration (s): 1.80 | learning rate: 9.382E-05 | global batch size: 512 | lm loss: 2.013120E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.764 | TFLOPs: 42.59 | 31: iteration 19060/ 33899 | consumed samples: 9758720 | consumed tokens: 19985858560 | elapsed time per iteration (s): 1.82 | learning rate: 9.374E-05 | global batch size: 512 | lm loss: 2.031973E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.432 | TFLOPs: 42.24 | 31: iteration 19070/ 33899 | consumed samples: 9763840 | consumed tokens: 19996344320 | elapsed time per iteration (s): 1.80 | learning rate: 9.366E-05 | global batch size: 512 | lm loss: 2.042182E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.040 | TFLOPs: 42.78 | 31: iteration 19080/ 33899 | consumed samples: 9768960 | consumed tokens: 20006830080 | elapsed time per iteration (s): 1.75 | learning rate: 9.357E-05 | global batch size: 512 | lm loss: 2.030704E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 292.862 | TFLOPs: 43.96 | 31: iteration 19090/ 33899 | consumed samples: 9774080 | consumed tokens: 20017315840 | elapsed time per iteration (s): 1.80 | learning rate: 9.349E-05 | global batch size: 512 | lm loss: 2.043502E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.541 | TFLOPs: 42.71 | 31: iteration 19100/ 33899 | consumed samples: 9779200 | consumed tokens: 20027801600 | elapsed time per iteration (s): 1.85 | learning rate: 9.341E-05 | global batch size: 512 | lm loss: 2.029861E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.197 | TFLOPs: 41.61 | 31: iteration 19110/ 33899 | consumed samples: 9784320 | consumed tokens: 20038287360 | elapsed time per iteration (s): 1.90 | learning rate: 9.332E-05 | global batch size: 512 | lm loss: 2.030183E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.588 | TFLOPs: 40.46 | 31: iteration 19120/ 33899 | consumed samples: 9789440 | consumed tokens: 20048773120 | elapsed time per iteration (s): 1.81 | learning rate: 9.324E-05 | global batch size: 512 | lm loss: 2.044665E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.722 | TFLOPs: 42.43 | 31: iteration 19130/ 33899 | consumed samples: 9794560 | consumed tokens: 20059258880 | elapsed time per iteration (s): 1.81 | learning rate: 9.316E-05 | global batch size: 512 | lm loss: 2.021099E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.281 | TFLOPs: 42.52 | 31: iteration 19140/ 33899 | consumed samples: 9799680 | consumed tokens: 20069744640 | elapsed time per iteration (s): 1.84 | learning rate: 9.308E-05 | global batch size: 512 | lm loss: 2.025880E+00 | grad norm: 0.118 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.150 | TFLOPs: 41.75 | 31: iteration 19150/ 33899 | consumed samples: 9804800 | consumed tokens: 20080230400 | elapsed time per iteration (s): 1.84 | learning rate: 9.299E-05 | global batch size: 512 | lm loss: 2.022138E+00 | grad norm: 0.120 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.757 | TFLOPs: 41.69 | 31: iteration 19160/ 33899 | consumed samples: 9809920 | consumed tokens: 20090716160 | elapsed time per iteration (s): 1.93 | learning rate: 9.291E-05 | global batch size: 512 | lm loss: 2.024681E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.772 | TFLOPs: 39.89 | 31: iteration 19170/ 33899 | consumed samples: 9815040 | consumed tokens: 20101201920 | elapsed time per iteration (s): 1.96 | learning rate: 9.283E-05 | global batch size: 512 | lm loss: 2.001488E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.332 | TFLOPs: 39.22 | 31: iteration 19180/ 33899 | consumed samples: 9820160 | consumed tokens: 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| consumed samples: 9835520 | consumed tokens: 20143144960 | elapsed time per iteration (s): 1.78 | learning rate: 9.250E-05 | global batch size: 512 | lm loss: 2.031408E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.937 | TFLOPs: 43.07 | 31: iteration 19220/ 33899 | consumed samples: 9840640 | consumed tokens: 20153630720 | elapsed time per iteration (s): 1.88 | learning rate: 9.242E-05 | global batch size: 512 | lm loss: 2.025680E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.254 | TFLOPs: 40.86 | 31: iteration 19230/ 33899 | consumed samples: 9845760 | consumed tokens: 20164116480 | elapsed time per iteration (s): 1.84 | learning rate: 9.233E-05 | global batch size: 512 | lm loss: 2.019408E+00 | grad norm: 0.133 | 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: 275.914 | TFLOPs: 41.41 | 31: iteration 19270/ 33899 | consumed samples: 9866240 | consumed tokens: 20206059520 | elapsed time per iteration (s): 1.78 | learning rate: 9.200E-05 | global batch size: 512 | lm loss: 2.026541E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.678 | TFLOPs: 43.18 | 31: iteration 19280/ 33899 | consumed samples: 9871360 | consumed tokens: 20216545280 | elapsed time per iteration (s): 1.90 | learning rate: 9.192E-05 | global batch size: 512 | lm loss: 2.015052E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.914 | TFLOPs: 40.36 | 31: iteration 19290/ 33899 | consumed samples: 9876480 | consumed tokens: 20227031040 | elapsed time per iteration (s): 1.87 | learning rate: 9.184E-05 | global batch size: 512 | lm loss: 2.009944E+00 | grad norm: 0.134 | num 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| consumed samples: 9937920 | consumed tokens: 20352860160 | elapsed time per iteration (s): 1.78 | learning rate: 9.085E-05 | global batch size: 512 | lm loss: 2.019731E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.664 | TFLOPs: 43.18 | 31: iteration 19420/ 33899 | consumed samples: 9943040 | consumed tokens: 20363345920 | elapsed time per iteration (s): 1.80 | learning rate: 9.077E-05 | global batch size: 512 | lm loss: 2.020733E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.380 | TFLOPs: 42.68 | 31: iteration 19430/ 33899 | consumed samples: 9948160 | consumed tokens: 20373831680 | elapsed time per iteration (s): 1.87 | learning rate: 9.068E-05 | global batch size: 512 | lm loss: 2.006407E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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| consumed tokens: 20740833280 | elapsed time per iteration (s): 1.80 | learning rate: 8.781E-05 | global batch size: 512 | lm loss: 1.997415E+00 | grad norm: 0.119 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.295 | TFLOPs: 42.67 | 31: iteration 19790/ 33899 | consumed samples: 10132480 | consumed tokens: 20751319040 | elapsed time per iteration (s): 1.88 | learning rate: 8.773E-05 | global batch size: 512 | lm loss: 2.008524E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.767 | TFLOPs: 40.79 | 31: iteration 19800/ 33899 | consumed samples: 10137600 | consumed tokens: 20761804800 | elapsed time per iteration (s): 1.90 | learning rate: 8.765E-05 | global batch size: 512 | lm loss: 2.007957E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.800 | TFLOPs: 40.35 | 31: 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rate: 8.667E-05 | global batch size: 512 | lm loss: 2.022001E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.245 | TFLOPs: 40.86 | 31: iteration 19930/ 33899 | consumed samples: 10204160 | consumed tokens: 20898119680 | elapsed time per iteration (s): 1.81 | learning rate: 8.659E-05 | global batch size: 512 | lm loss: 2.011531E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.735 | TFLOPs: 42.44 | 31: iteration 19940/ 33899 | consumed samples: 10209280 | consumed tokens: 20908605440 | elapsed time per iteration (s): 1.79 | learning rate: 8.651E-05 | global batch size: 512 | lm loss: 2.016830E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.640 | TFLOPs: 42.87 | 31: iteration 19950/ 33899 | consumed samples: 10214400 | consumed tokens: 20919091200 | elapsed time per iteration (s): 1.86 | learning rate: 8.643E-05 | global batch size: 512 | lm loss: 1.985566E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.633 | TFLOPs: 41.37 | 31: iteration 19960/ 33899 | consumed samples: 10219520 | consumed tokens: 20929576960 | elapsed time per iteration (s): 1.90 | learning rate: 8.635E-05 | global batch size: 512 | lm loss: 2.013876E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.098 | TFLOPs: 40.54 | 31: iteration 19970/ 33899 | consumed samples: 10224640 | consumed tokens: 20940062720 | elapsed time per iteration (s): 1.82 | learning rate: 8.627E-05 | global batch size: 512 | lm loss: 2.010969E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.743 | TFLOPs: 42.29 | 31: iteration 19980/ 33899 | consumed samples: 10229760 | consumed tokens: 20950548480 | elapsed time per iteration (s): 1.90 | learning rate: 8.619E-05 | global batch size: 512 | lm loss: 2.006772E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.117 | TFLOPs: 40.39 | 31: iteration 19990/ 33899 | consumed samples: 10234880 | consumed tokens: 20961034240 | elapsed time per iteration (s): 1.83 | learning rate: 8.610E-05 | global batch size: 512 | lm loss: 1.994731E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.412 | TFLOPs: 41.94 | 0: [2022-11-26 05:20:58,550] [INFO] [logging.py:68:log_dist] [Rank 0] step=20000, skipped=0, lr=[8.602302296268695e-05, 8.602302296268695e-05, 8.602302296268695e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 20000/ 33899 | consumed samples: 10240000 | consumed tokens: 20971520000 | elapsed time per iteration (s): 1.77 | learning rate: 8.602E-05 | global batch size: 512 | lm loss: 2.023135E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.037 | TFLOPs: 43.38 | 0: steps: 20000 loss: 1.9946 iter time (s): 1.844 samples/sec: 277.585 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 20000 | lm loss value: 1.956031E+00 | lm loss PPL: 7.071208E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 20000 to checkpoints_2b8 0: [2022-11-26 05:20:59,130] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step20000 is begin to save! 0: [2022-11-26 05:20:59,143] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step20000/layer_01-model_00-model_states.pt... 0: [2022-11-26 05:20:59,451] [INFO] [torch_checkpoint_engine.py:17:save] 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2.037325E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 195.339 | TFLOPs: 29.32 | 31: iteration 20020/ 33899 | consumed samples: 10250240 | consumed tokens: 20992491520 | elapsed time per iteration (s): 2.05 | learning rate: 8.586E-05 | global batch size: 512 | lm loss: 2.024635E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 250.144 | TFLOPs: 37.55 | 31: iteration 20030/ 33899 | consumed samples: 10255360 | consumed tokens: 21002977280 | elapsed time per iteration (s): 1.82 | learning rate: 8.578E-05 | global batch size: 512 | lm loss: 2.018192E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.501 | TFLOPs: 42.25 | 31: iteration 20040/ 33899 | consumed samples: 10260480 | consumed tokens: 21013463040 | elapsed time per iteration (s): 1.78 | learning rate: 8.570E-05 | global batch size: 512 | lm loss: 1.997753E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.454 | TFLOPs: 43.15 | 31: iteration 20050/ 33899 | consumed samples: 10265600 | consumed tokens: 21023948800 | elapsed time per iteration (s): 1.86 | learning rate: 8.562E-05 | global batch size: 512 | lm loss: 2.025330E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.441 | TFLOPs: 41.34 | 31: iteration 20060/ 33899 | consumed samples: 10270720 | consumed tokens: 21034434560 | elapsed time per iteration (s): 1.80 | learning rate: 8.554E-05 | global batch size: 512 | lm loss: 2.014893E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.490 | TFLOPs: 42.70 | 31: iteration 20070/ 33899 | consumed samples: 10275840 | consumed tokens: 21044920320 | elapsed time per iteration (s): 1.89 | learning rate: 8.546E-05 | global batch size: 512 | lm loss: 1.997405E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.401 | TFLOPs: 40.74 | 31: iteration 20080/ 33899 | consumed samples: 10280960 | consumed tokens: 21055406080 | elapsed time per iteration (s): 1.82 | learning rate: 8.537E-05 | global batch size: 512 | lm loss: 2.000511E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.561 | TFLOPs: 42.26 | 31: iteration 20090/ 33899 | consumed samples: 10286080 | consumed tokens: 21065891840 | elapsed time per iteration (s): 1.84 | learning rate: 8.529E-05 | global batch size: 512 | lm loss: 2.014400E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.399 | TFLOPs: 41.79 | 31: iteration 20100/ 33899 | consumed samples: 10291200 | consumed tokens: 21076377600 | elapsed time per iteration (s): 1.85 | learning rate: 8.521E-05 | global batch size: 512 | lm loss: 2.016104E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.468 | TFLOPs: 41.50 | 31: iteration 20110/ 33899 | consumed samples: 10296320 | consumed tokens: 21086863360 | elapsed time per iteration (s): 1.83 | learning rate: 8.513E-05 | global batch size: 512 | lm loss: 2.018343E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.143 | TFLOPs: 42.05 | 31: iteration 20120/ 33899 | consumed samples: 10301440 | consumed tokens: 21097349120 | elapsed time per iteration (s): 1.89 | learning rate: 8.505E-05 | global batch size: 512 | lm loss: 2.004045E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.632 | TFLOPs: 40.62 | 31: iteration 20130/ 33899 | consumed samples: 10306560 | consumed tokens: 21107834880 | elapsed time per iteration (s): 1.85 | learning rate: 8.497E-05 | global batch size: 512 | lm loss: 2.013534E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.475 | TFLOPs: 41.65 | 31: iteration 20140/ 33899 | consumed samples: 10311680 | consumed tokens: 21118320640 | elapsed time per iteration (s): 1.82 | learning rate: 8.489E-05 | global batch size: 512 | lm loss: 2.005387E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.704 | TFLOPs: 42.28 | 31: iteration 20150/ 33899 | consumed samples: 10316800 | consumed tokens: 21128806400 | elapsed time per iteration (s): 1.86 | learning rate: 8.481E-05 | global batch size: 512 | lm loss: 2.011669E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.546 | TFLOPs: 41.36 | 31: iteration 20160/ 33899 | consumed samples: 10321920 | consumed tokens: 21139292160 | elapsed time per iteration (s): 1.88 | learning rate: 8.473E-05 | global batch size: 512 | lm loss: 2.020601E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.933 | TFLOPs: 40.82 | 31: iteration 20170/ 33899 | consumed samples: 10327040 | consumed tokens: 21149777920 | elapsed time per iteration (s): 1.80 | learning rate: 8.465E-05 | global batch size: 512 | lm loss: 2.016179E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.189 | TFLOPs: 42.81 | 31: iteration 20180/ 33899 | consumed samples: 10332160 | consumed tokens: 21160263680 | elapsed time per iteration (s): 1.84 | learning rate: 8.456E-05 | global batch size: 512 | lm loss: 2.008875E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.883 | TFLOPs: 41.86 | 31: iteration 20190/ 33899 | consumed samples: 10337280 | consumed tokens: 21170749440 | elapsed time per iteration (s): 1.85 | learning rate: 8.448E-05 | global batch size: 512 | lm loss: 2.006612E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.386 | TFLOPs: 41.48 | 31: iteration 20200/ 33899 | consumed samples: 10342400 | consumed tokens: 21181235200 | elapsed time per iteration (s): 1.87 | learning rate: 8.440E-05 | global batch size: 512 | lm loss: 2.013869E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.087 | TFLOPs: 40.99 | 31: iteration 20210/ 33899 | consumed samples: 10347520 | consumed tokens: 21191720960 | elapsed time per iteration (s): 1.90 | learning rate: 8.432E-05 | global batch size: 512 | lm loss: 2.019059E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.145 | TFLOPs: 40.55 | 31: iteration 20220/ 33899 | consumed samples: 10352640 | consumed tokens: 21202206720 | elapsed time per iteration (s): 1.79 | learning rate: 8.424E-05 | global batch size: 512 | lm loss: 2.015838E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.543 | TFLOPs: 43.01 | 31: iteration 20230/ 33899 | consumed samples: 10357760 | consumed tokens: 21212692480 | elapsed time per iteration (s): 1.92 | learning rate: 8.416E-05 | global batch size: 512 | lm loss: 1.985585E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.164 | TFLOPs: 39.95 | 31: iteration 20240/ 33899 | consumed samples: 10362880 | consumed tokens: 21223178240 | elapsed time per iteration (s): 1.79 | 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33899 | consumed samples: 10393600 | consumed tokens: 21286092800 | elapsed time per iteration (s): 1.96 | learning rate: 8.360E-05 | global batch size: 512 | lm loss: 2.006275E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.559 | TFLOPs: 39.26 | 31: iteration 20310/ 33899 | consumed samples: 10398720 | consumed tokens: 21296578560 | elapsed time per iteration (s): 1.91 | learning rate: 8.352E-05 | global batch size: 512 | lm loss: 2.011819E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.469 | TFLOPs: 40.30 | 31: iteration 20320/ 33899 | consumed samples: 10403840 | consumed tokens: 21307064320 | elapsed time per iteration (s): 1.84 | learning rate: 8.344E-05 | global batch size: 512 | lm loss: 2.016248E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.022 | TFLOPs: 41.73 | 31: iteration 20330/ 33899 | consumed samples: 10408960 | consumed tokens: 21317550080 | elapsed time per iteration (s): 1.86 | learning rate: 8.336E-05 | global batch size: 512 | lm loss: 2.021869E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.779 | TFLOPs: 41.24 | 31: iteration 20340/ 33899 | consumed samples: 10414080 | consumed tokens: 21328035840 | elapsed time per iteration (s): 1.87 | learning rate: 8.327E-05 | global batch size: 512 | lm loss: 2.003128E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.123 | TFLOPs: 40.99 | 31: iteration 20350/ 33899 | consumed samples: 10419200 | consumed tokens: 21338521600 | elapsed time per iteration (s): 1.86 | learning rate: 8.319E-05 | global batch size: 512 | lm loss: 2.002155E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.615 | TFLOPs: 41.37 | 31: iteration 20360/ 33899 | consumed samples: 10424320 | consumed tokens: 21349007360 | elapsed time per iteration (s): 1.90 | learning rate: 8.311E-05 | global batch size: 512 | lm loss: 2.003729E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.419 | TFLOPs: 40.44 | 31: iteration 20370/ 33899 | consumed samples: 10429440 | consumed tokens: 21359493120 | elapsed time per iteration (s): 1.91 | learning rate: 8.303E-05 | global batch size: 512 | lm loss: 2.015292E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.791 | TFLOPs: 40.19 | 31: iteration 20380/ 33899 | consumed samples: 10434560 | consumed tokens: 21369978880 | elapsed time per iteration (s): 1.83 | learning rate: 8.295E-05 | global batch size: 512 | lm loss: 1.994961E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.932 | TFLOPs: 42.02 | 31: iteration 20390/ 33899 | consumed samples: 10439680 | consumed tokens: 21380464640 | elapsed time per iteration (s): 1.99 | learning rate: 8.287E-05 | global batch size: 512 | lm loss: 1.991086E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 257.544 | TFLOPs: 38.66 | 31: iteration 20400/ 33899 | consumed samples: 10444800 | consumed tokens: 21390950400 | elapsed time per iteration (s): 1.81 | learning rate: 8.279E-05 | global batch size: 512 | lm loss: 2.021850E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.591 | TFLOPs: 42.42 | 31: iteration 20410/ 33899 | consumed samples: 10449920 | consumed tokens: 21401436160 | elapsed time per iteration (s): 1.80 | learning rate: 8.271E-05 | global batch size: 512 | lm loss: 2.001139E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.102 | TFLOPs: 42.79 | 31: iteration 20420/ 33899 | consumed samples: 10455040 | consumed tokens: 21411921920 | elapsed time per iteration (s): 1.83 | learning rate: 8.263E-05 | global batch size: 512 | lm loss: 2.016819E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.361 | TFLOPs: 42.08 | 31: iteration 20430/ 33899 | consumed samples: 10460160 | consumed tokens: 21422407680 | elapsed time per iteration (s): 1.83 | learning rate: 8.255E-05 | global batch size: 512 | lm loss: 2.006531E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.428 | TFLOPs: 42.09 | 31: iteration 20440/ 33899 | consumed samples: 10465280 | consumed tokens: 21432893440 | elapsed time per iteration (s): 1.82 | learning rate: 8.247E-05 | global batch size: 512 | lm loss: 2.018750E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.498 | TFLOPs: 42.25 | 31: iteration 20450/ 33899 | consumed samples: 10470400 | consumed tokens: 21443379200 | elapsed time per iteration (s): 1.88 | learning rate: 8.239E-05 | global batch size: 512 | lm loss: 2.004017E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.730 | TFLOPs: 40.79 | 31: iteration 20460/ 33899 | consumed samples: 10475520 | consumed tokens: 21453864960 | elapsed time per iteration (s): 1.84 | learning rate: 8.231E-05 | global batch size: 512 | lm loss: 2.013582E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.639 | TFLOPs: 41.67 | 31: iteration 20470/ 33899 | consumed samples: 10480640 | consumed tokens: 21464350720 | elapsed time per iteration (s): 1.81 | learning rate: 8.223E-05 | global batch size: 512 | lm loss: 2.008827E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.989 | TFLOPs: 42.48 | 31: iteration 20480/ 33899 | consumed samples: 10485760 | consumed tokens: 21474836480 | elapsed time per iteration (s): 1.87 | learning rate: 8.215E-05 | global batch size: 512 | lm loss: 2.029174E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.172 | TFLOPs: 41.15 | 31: iteration 20490/ 33899 | consumed samples: 10490880 | consumed tokens: 21485322240 | elapsed time per iteration (s): 1.81 | learning rate: 8.207E-05 | global batch size: 512 | lm loss: 1.991251E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.522 | TFLOPs: 42.40 | 31: iteration 20500/ 33899 | consumed samples: 10496000 | consumed tokens: 21495808000 | elapsed time per iteration (s): 1.79 | learning rate: 8.199E-05 | global batch size: 512 | lm loss: 2.013008E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.626 | TFLOPs: 42.87 | 31: iteration 20510/ 33899 | consumed samples: 10501120 | consumed tokens: 21506293760 | elapsed time per iteration (s): 1.86 | learning rate: 8.191E-05 | global batch size: 512 | lm loss: 2.022006E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.191 | TFLOPs: 41.30 | 31: iteration 20520/ 33899 | consumed samples: 10506240 | consumed tokens: 21516779520 | elapsed time per iteration (s): 1.94 | learning rate: 8.183E-05 | global batch size: 512 | lm loss: 2.018034E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.847 | TFLOPs: 39.60 | 31: iteration 20530/ 33899 | consumed samples: 10511360 | consumed tokens: 21527265280 | elapsed time per iteration (s): 1.85 | learning rate: 8.175E-05 | global batch size: 512 | lm loss: 1.998771E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.191 | TFLOPs: 41.60 | 31: iteration 20540/ 33899 | consumed samples: 10516480 | consumed tokens: 21537751040 | elapsed time per iteration (s): 1.83 | learning rate: 8.167E-05 | global batch size: 512 | lm loss: 2.022624E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.161 | TFLOPs: 41.90 | 31: iteration 20550/ 33899 | consumed samples: 10521600 | consumed tokens: 21548236800 | elapsed time per iteration (s): 1.80 | learning rate: 8.159E-05 | global batch size: 512 | lm loss: 1.987075E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.216 | TFLOPs: 42.66 | 31: iteration 20560/ 33899 | consumed samples: 10526720 | consumed tokens: 21558722560 | elapsed time per iteration (s): 1.79 | learning rate: 8.151E-05 | global batch size: 512 | lm loss: 2.007537E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.259 | TFLOPs: 42.82 | 31: iteration 20570/ 33899 | consumed samples: 10531840 | consumed tokens: 21569208320 | elapsed time per iteration (s): 1.82 | learning rate: 8.143E-05 | global batch size: 512 | lm loss: 2.020111E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.641 | TFLOPs: 42.12 | 31: iteration 20580/ 33899 | consumed samples: 10536960 | consumed tokens: 21579694080 | elapsed time per iteration (s): 1.83 | learning rate: 8.135E-05 | global batch size: 512 | lm loss: 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rate: 8.111E-05 | global batch size: 512 | lm loss: 2.013637E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.920 | TFLOPs: 41.41 | 31: iteration 20620/ 33899 | consumed samples: 10557440 | consumed tokens: 21621637120 | elapsed time per iteration (s): 1.87 | learning rate: 8.103E-05 | global batch size: 512 | lm loss: 2.008168E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.292 | TFLOPs: 41.17 | 31: iteration 20630/ 33899 | consumed samples: 10562560 | consumed tokens: 21632122880 | elapsed time per iteration (s): 1.84 | learning rate: 8.095E-05 | global batch size: 512 | lm loss: 2.000091E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.907 | TFLOPs: 41.71 | 31: iteration 20640/ 33899 | consumed samples: 10567680 | consumed tokens: 21642608640 | elapsed time per iteration (s): 1.82 | learning rate: 8.087E-05 | global batch size: 512 | lm loss: 2.014387E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.359 | TFLOPs: 42.23 | 31: iteration 20650/ 33899 | consumed samples: 10572800 | consumed tokens: 21653094400 | elapsed time per iteration (s): 1.82 | learning rate: 8.079E-05 | global batch size: 512 | lm loss: 2.003562E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.071 | TFLOPs: 42.34 | 31: iteration 20660/ 33899 | consumed samples: 10577920 | consumed tokens: 21663580160 | elapsed time per iteration (s): 1.82 | learning rate: 8.071E-05 | global batch size: 512 | lm loss: 2.020516E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.718 | TFLOPs: 42.13 | 31: iteration 20670/ 33899 | consumed 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TFLOPs: 39.14 | 31: iteration 20700/ 33899 | consumed samples: 10598400 | consumed tokens: 21705523200 | elapsed time per iteration (s): 1.78 | learning rate: 8.039E-05 | global batch size: 512 | lm loss: 1.995353E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.145 | TFLOPs: 43.10 | 31: iteration 20710/ 33899 | consumed samples: 10603520 | consumed tokens: 21716008960 | elapsed time per iteration (s): 1.83 | learning rate: 8.031E-05 | global batch size: 512 | lm loss: 1.994183E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.883 | TFLOPs: 42.01 | 31: iteration 20720/ 33899 | consumed samples: 10608640 | consumed tokens: 21726494720 | elapsed time per iteration (s): 1.87 | learning rate: 8.024E-05 | global batch size: 512 | lm loss: 1.996210E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.613 | TFLOPs: 41.07 | 31: iteration 20730/ 33899 | consumed samples: 10613760 | consumed tokens: 21736980480 | elapsed time per iteration (s): 1.83 | learning rate: 8.016E-05 | global batch size: 512 | lm loss: 1.996448E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.977 | TFLOPs: 42.02 | 31: iteration 20740/ 33899 | consumed samples: 10618880 | consumed tokens: 21747466240 | elapsed time per iteration (s): 1.84 | learning rate: 8.008E-05 | global batch size: 512 | lm loss: 1.999997E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.940 | TFLOPs: 41.72 | 31: iteration 20750/ 33899 | consumed samples: 10624000 | consumed tokens: 21757952000 | elapsed time per iteration (s): 1.78 | learning rate: 8.000E-05 | global batch size: 512 | lm loss: 2.025401E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.911 | TFLOPs: 43.06 | 31: iteration 20760/ 33899 | consumed samples: 10629120 | consumed tokens: 21768437760 | elapsed time per iteration (s): 1.83 | learning rate: 7.992E-05 | global batch size: 512 | lm loss: 2.027012E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.937 | TFLOPs: 42.02 | 31: iteration 20770/ 33899 | consumed samples: 10634240 | consumed tokens: 21778923520 | elapsed time per iteration (s): 1.81 | learning rate: 7.984E-05 | global batch size: 512 | lm loss: 2.030727E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.747 | TFLOPs: 42.44 | 31: iteration 20780/ 33899 | consumed samples: 10639360 | consumed tokens: 21789409280 | elapsed time per iteration (s): 1.83 | learning rate: 7.976E-05 | global batch size: 512 | lm loss: 2.009933E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.542 | TFLOPs: 42.11 | 31: iteration 20790/ 33899 | consumed samples: 10644480 | consumed tokens: 21799895040 | elapsed time per iteration (s): 1.86 | learning rate: 7.968E-05 | global batch size: 512 | lm loss: 1.988870E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.752 | TFLOPs: 41.24 | 31: iteration 20800/ 33899 | consumed samples: 10649600 | consumed tokens: 21810380800 | elapsed time per iteration (s): 1.82 | learning rate: 7.960E-05 | global batch size: 512 | lm loss: 2.012724E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.564 | TFLOPs: 42.11 | 31: iteration 20810/ 33899 | consumed samples: 10654720 | consumed tokens: 21820866560 | elapsed time per iteration (s): 1.81 | learning rate: 7.952E-05 | global batch size: 512 | lm loss: 2.002139E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.218 | TFLOPs: 42.36 | 31: iteration 20820/ 33899 | consumed samples: 10659840 | consumed tokens: 21831352320 | elapsed time per iteration (s): 1.76 | learning rate: 7.944E-05 | global batch size: 512 | lm loss: 2.006407E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.161 | TFLOPs: 43.55 | 31: iteration 20830/ 33899 | consumed samples: 10664960 | consumed tokens: 21841838080 | elapsed time per iteration (s): 1.79 | learning rate: 7.936E-05 | global batch size: 512 | lm loss: 2.023651E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.583 | TFLOPs: 43.01 | 31: iteration 20840/ 33899 | consumed samples: 10670080 | consumed tokens: 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33899 | consumed samples: 10685440 | consumed tokens: 21883781120 | elapsed time per iteration (s): 1.75 | learning rate: 7.905E-05 | global batch size: 512 | lm loss: 2.018226E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 293.030 | TFLOPs: 43.98 | 31: iteration 20880/ 33899 | consumed samples: 10690560 | consumed tokens: 21894266880 | elapsed time per iteration (s): 1.78 | learning rate: 7.897E-05 | global batch size: 512 | lm loss: 2.017028E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.956 | TFLOPs: 43.22 | 31: iteration 20890/ 33899 | consumed samples: 10695680 | consumed tokens: 21904752640 | elapsed time per iteration (s): 1.82 | learning rate: 7.889E-05 | global batch size: 512 | lm loss: 2.020730E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.887 | TFLOPs: 42.31 | 31: iteration 20900/ 33899 | consumed samples: 10700800 | consumed tokens: 21915238400 | elapsed time per iteration (s): 1.83 | learning rate: 7.881E-05 | global batch size: 512 | lm loss: 1.993000E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.046 | TFLOPs: 42.03 | 31: iteration 20910/ 33899 | consumed samples: 10705920 | consumed tokens: 21925724160 | elapsed time per iteration (s): 1.76 | learning rate: 7.873E-05 | global batch size: 512 | lm loss: 2.006101E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.430 | TFLOPs: 43.59 | 31: iteration 20920/ 33899 | consumed samples: 10711040 | consumed tokens: 21936209920 | elapsed time per iteration (s): 1.75 | learning rate: 7.865E-05 | global batch size: 512 | lm loss: 1.999384E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 292.788 | TFLOPs: 43.95 | 31: iteration 20930/ 33899 | consumed samples: 10716160 | consumed tokens: 21946695680 | elapsed time per iteration (s): 1.75 | learning rate: 7.857E-05 | global batch size: 512 | lm loss: 2.008108E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 292.521 | TFLOPs: 43.91 | 31: iteration 20940/ 33899 | consumed samples: 10721280 | consumed tokens: 21957181440 | elapsed time per iteration (s): 1.78 | learning rate: 7.849E-05 | global batch size: 512 | lm loss: 2.009612E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.015 | TFLOPs: 43.23 | 31: iteration 20950/ 33899 | consumed samples: 10726400 | consumed tokens: 21967667200 | elapsed time per iteration (s): 1.73 | learning rate: 7.841E-05 | global batch size: 512 | lm loss: 2.022591E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 296.343 | TFLOPs: 44.48 | 31: iteration 20960/ 33899 | consumed samples: 10731520 | consumed tokens: 21978152960 | elapsed time per iteration (s): 1.84 | learning rate: 7.833E-05 | global batch size: 512 | lm loss: 2.012366E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.710 | TFLOPs: 41.83 | 31: iteration 20970/ 33899 | consumed samples: 10736640 | consumed tokens: 21988638720 | elapsed time per iteration (s): 1.75 | learning rate: 7.826E-05 | global batch size: 512 | lm loss: 1.996661E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.990 | TFLOPs: 43.83 | 31: iteration 20980/ 33899 | consumed samples: 10741760 | consumed tokens: 21999124480 | elapsed time per iteration (s): 1.78 | learning rate: 7.818E-05 | global batch size: 512 | lm loss: 2.022942E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.045 | TFLOPs: 43.23 | 31: iteration 20990/ 33899 | consumed samples: 10746880 | consumed tokens: 22009610240 | elapsed time per iteration (s): 3.46 | learning rate: 7.810E-05 | global batch size: 512 | lm loss: 2.000879E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 148.154 | TFLOPs: 22.24 | 31: iteration 21000/ 33899 | consumed samples: 10752000 | consumed tokens: 22020096000 | elapsed time per iteration (s): 1.74 | learning rate: 7.802E-05 | global batch size: 512 | lm loss: 2.000414E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 294.789 | TFLOPs: 44.25 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 21000 | lm loss value: 1.951721E+00 | lm loss PPL: 7.040796E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 21000 to checkpoints_2b8 0: [2022-11-26 05:51:59,392] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step21000 is begin to save! 0: [2022-11-26 05:51:59,408] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step21000/layer_01-model_00-model_states.pt... 0: [2022-11-26 05:51:59,733] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step21000/layer_01-model_00-model_states.pt. 0: [2022-11-26 05:51:59,733] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b8/global_step21000/layer_03-model_00-model_states.pt... 0: [2022-11-26 05:51:59,910] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step21000/layer_03-model_00-model_states.pt. 0: 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checkpoints_2b8/global_step21000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-26 05:52:06,428] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 2: [2022-11-26 05:52:06,432] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-26 05:52:06,432] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-26 05:52:06,432] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 1: [2022-11-26 05:52:06,433] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-26 05:52:06,433] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-26 05:52:06,433] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 16: [2022-11-26 05:52:06,435] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_131_mp_rank_00_optim_states.pt. 16: [2022-11-26 05:52:06,435] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_131_mp_rank_00_optim_states.pt 16: [2022-11-26 05:52:06,435] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 20: [2022-11-26 05:52:06,436] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_164_mp_rank_00_optim_states.pt. 20: [2022-11-26 05:52:06,436] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_164_mp_rank_00_optim_states.pt 20: [2022-11-26 05:52:06,436] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 25: [2022-11-26 05:52:06,437] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_203_mp_rank_00_optim_states.pt. 25: [2022-11-26 05:52:06,437] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_203_mp_rank_00_optim_states.pt 25: [2022-11-26 05:52:06,437] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 17: [2022-11-26 05:52:06,444] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_139_mp_rank_00_optim_states.pt. 17: [2022-11-26 05:52:06,445] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step21000/bf16_zero_pp_rank_139_mp_rank_00_optim_states.pt 17: [2022-11-26 05:52:06,445] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 0: successfully saved checkpoint at iteration 21000 to checkpoints_2b8 31: time (ms) | save-checkpoint: 7085.11 31: iteration 21010/ 33899 | consumed samples: 10757120 | consumed tokens: 22030581760 | elapsed time per iteration (s): 2.56 | learning rate: 7.794E-05 | global batch size: 512 | lm loss: 2.013382E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 200.344 | TFLOPs: 30.07 | 31: iteration 21020/ 33899 | consumed samples: 10762240 | consumed tokens: 22041067520 | elapsed time per iteration (s): 1.73 | learning rate: 7.786E-05 | global batch size: 512 | lm loss: 2.012154E+00 | grad norm: 0.119 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 296.049 | TFLOPs: 44.44 | 31: iteration 21030/ 33899 | consumed samples: 10767360 | consumed tokens: 22051553280 | elapsed time per iteration (s): 1.83 | learning rate: 7.778E-05 | global batch size: 512 | lm loss: 2.012501E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.074 | TFLOPs: 41.89 | 31: iteration 21040/ 33899 | consumed samples: 10772480 | consumed tokens: 22062039040 | elapsed time per iteration (s): 1.82 | learning rate: 7.770E-05 | global batch size: 512 | lm loss: 2.010998E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.590 | TFLOPs: 42.12 | 31: iteration 21050/ 33899 | consumed samples: 10777600 | consumed tokens: 22072524800 | elapsed time per iteration (s): 1.82 | learning rate: 7.763E-05 | global batch size: 512 | lm loss: 2.014605E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.012 | TFLOPs: 42.33 | 31: iteration 21060/ 33899 | consumed samples: 10782720 | consumed tokens: 22083010560 | elapsed time per iteration (s): 1.82 | learning rate: 7.755E-05 | global batch size: 512 | lm loss: 2.011567E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.799 | TFLOPs: 42.15 | 31: iteration 21070/ 33899 | consumed samples: 10787840 | consumed tokens: 22093496320 | elapsed time per iteration (s): 1.81 | learning rate: 7.747E-05 | global batch size: 512 | lm loss: 2.011358E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.307 | TFLOPs: 42.37 | 31: iteration 21080/ 33899 | consumed samples: 10792960 | consumed tokens: 22103982080 | elapsed time per iteration (s): 1.79 | learning rate: 7.739E-05 | global batch size: 512 | lm loss: 2.015076E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.673 | TFLOPs: 43.03 | 31: iteration 21090/ 33899 | consumed samples: 10798080 | consumed tokens: 22114467840 | elapsed time per iteration (s): 1.81 | learning rate: 7.731E-05 | global batch size: 512 | lm loss: 2.001229E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.939 | TFLOPs: 42.47 | 31: iteration 21100/ 33899 | consumed samples: 10803200 | consumed tokens: 22124953600 | elapsed time per iteration (s): 1.86 | learning rate: 7.723E-05 | global batch size: 512 | lm loss: 2.021173E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.490 | TFLOPs: 41.35 | 31: iteration 21110/ 33899 | consumed samples: 10808320 | consumed tokens: 22135439360 | elapsed time per iteration (s): 1.86 | learning rate: 7.715E-05 | global batch size: 512 | lm loss: 1.988811E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.777 | TFLOPs: 41.24 | 31: iteration 21120/ 33899 | consumed samples: 10813440 | consumed tokens: 22145925120 | elapsed time per iteration (s): 1.80 | learning rate: 7.708E-05 | global batch size: 512 | lm loss: 1.991123E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.665 | TFLOPs: 42.58 | 31: iteration 21130/ 33899 | consumed samples: 10818560 | consumed tokens: 22156410880 | elapsed time per iteration (s): 1.86 | learning rate: 7.700E-05 | global batch size: 512 | lm loss: 2.017519E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.163 | TFLOPs: 41.30 | 31: iteration 21140/ 33899 | consumed samples: 10823680 | consumed tokens: 22166896640 | elapsed time per iteration (s): 1.80 | learning rate: 7.692E-05 | global batch size: 512 | lm loss: 2.005084E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.584 | TFLOPs: 42.71 | 31: iteration 21150/ 33899 | consumed samples: 10828800 | consumed tokens: 22177382400 | elapsed time per iteration (s): 1.87 | learning rate: 7.684E-05 | global batch size: 512 | lm loss: 1.998634E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.986 | TFLOPs: 41.12 | 31: iteration 21160/ 33899 | consumed samples: 10833920 | consumed tokens: 22187868160 | elapsed time per iteration (s): 1.85 | learning rate: 7.676E-05 | global batch size: 512 | lm loss: 1.981847E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.168 | TFLOPs: 41.45 | 31: iteration 21170/ 33899 | consumed samples: 10839040 | consumed tokens: 22198353920 | elapsed time per iteration (s): 1.83 | learning rate: 7.668E-05 | global batch size: 512 | lm loss: 2.006389E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.801 | TFLOPs: 42.00 | 31: iteration 21180/ 33899 | consumed samples: 10844160 | consumed tokens: 22208839680 | elapsed time per iteration (s): 1.83 | learning rate: 7.661E-05 | global batch size: 512 | lm loss: 2.006304E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.536 | TFLOPs: 42.11 | 31: iteration 21190/ 33899 | consumed samples: 10849280 | consumed tokens: 22219325440 | elapsed time per iteration (s): 1.96 | learning rate: 7.653E-05 | global batch size: 512 | lm loss: 2.002746E+00 | grad norm: 0.119 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.290 | TFLOPs: 39.22 | 31: iteration 21200/ 33899 | consumed samples: 10854400 | consumed tokens: 22229811200 | elapsed time per iteration (s): 1.91 | learning rate: 7.645E-05 | global batch size: 512 | lm loss: 2.024378E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.324 | TFLOPs: 40.27 | 31: iteration 21210/ 33899 | consumed samples: 10859520 | consumed tokens: 22240296960 | elapsed time per iteration (s): 1.78 | learning rate: 7.637E-05 | global batch size: 512 | lm loss: 1.974486E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.686 | TFLOPs: 43.18 | 31: iteration 21220/ 33899 | consumed samples: 10864640 | consumed tokens: 22250782720 | elapsed time per iteration (s): 1.84 | learning rate: 7.629E-05 | global batch size: 512 | lm loss: 1.994751E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.452 | TFLOPs: 41.79 | 31: iteration 21230/ 33899 | consumed samples: 10869760 | consumed tokens: 22261268480 | elapsed time per iteration (s): 1.80 | learning rate: 7.622E-05 | global batch size: 512 | lm loss: 2.010779E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.553 | TFLOPs: 42.71 | 31: iteration 21240/ 33899 | consumed samples: 10874880 | consumed tokens: 22271754240 | elapsed time per iteration (s): 1.79 | learning rate: 7.614E-05 | global batch size: 512 | lm loss: 1.990224E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.648 | TFLOPs: 42.87 | 31: iteration 21250/ 33899 | consumed samples: 10880000 | consumed tokens: 22282240000 | elapsed time per iteration (s): 1.85 | learning rate: 7.606E-05 | global batch size: 512 | lm loss: 2.023005E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.963 | TFLOPs: 41.57 | 31: iteration 21260/ 33899 | consumed samples: 10885120 | consumed tokens: 22292725760 | elapsed time per iteration (s): 1.85 | learning rate: 7.598E-05 | global batch size: 512 | lm loss: 2.000191E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.112 | TFLOPs: 41.44 | 31: iteration 21270/ 33899 | consumed samples: 10890240 | consumed tokens: 22303211520 | elapsed time per iteration (s): 1.77 | learning rate: 7.590E-05 | global batch size: 512 | lm loss: 1.991530E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.583 | TFLOPs: 43.31 | 31: iteration 21280/ 33899 | consumed samples: 10895360 | consumed tokens: 22313697280 | elapsed time per iteration (s): 1.89 | learning rate: 7.583E-05 | global batch size: 512 | lm loss: 2.002274E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.203 | TFLOPs: 40.71 | 31: iteration 21290/ 33899 | consumed samples: 10900480 | consumed tokens: 22324183040 | elapsed time per iteration (s): 1.79 | learning rate: 7.575E-05 | global batch size: 512 | lm loss: 2.002069E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.741 | TFLOPs: 43.04 | 31: iteration 21300/ 33899 | consumed samples: 10905600 | consumed tokens: 22334668800 | elapsed time per iteration (s): 1.80 | learning rate: 7.567E-05 | global batch size: 512 | lm loss: 2.014970E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.289 | TFLOPs: 42.67 | 31: iteration 21310/ 33899 | consumed samples: 10910720 | consumed tokens: 22345154560 | elapsed time per iteration (s): 1.81 | learning rate: 7.559E-05 | global batch size: 512 | lm loss: 1.985625E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.984 | TFLOPs: 42.47 | 31: iteration 21320/ 33899 | consumed samples: 10915840 | consumed tokens: 22355640320 | elapsed time per iteration (s): 1.80 | learning rate: 7.551E-05 | global batch size: 512 | lm loss: 1.990323E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.727 | TFLOPs: 42.74 | 31: iteration 21330/ 33899 | consumed samples: 10920960 | consumed tokens: 22366126080 | elapsed time per iteration (s): 1.86 | learning rate: 7.544E-05 | global batch size: 512 | lm loss: 1.986568E+00 | grad norm: 0.116 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.971 | TFLOPs: 41.42 | 31: iteration 21340/ 33899 | consumed samples: 10926080 | consumed tokens: 22376611840 | elapsed time per iteration (s): 2.21 | learning rate: 7.536E-05 | global batch size: 512 | lm loss: 2.006209E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 231.818 | TFLOPs: 34.79 | 31: iteration 21350/ 33899 | consumed samples: 10931200 | consumed tokens: 22387097600 | elapsed time per iteration (s): 1.76 | learning rate: 7.528E-05 | global batch size: 512 | lm loss: 1.998105E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.604 | TFLOPs: 43.77 | 31: iteration 21360/ 33899 | consumed samples: 10936320 | consumed tokens: 22397583360 | elapsed time per iteration (s): 1.76 | learning rate: 7.520E-05 | global batch size: 512 | lm loss: 2.009108E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.292 | TFLOPs: 43.57 | 31: iteration 21370/ 33899 | consumed samples: 10941440 | consumed tokens: 22408069120 | elapsed time per iteration (s): 1.87 | learning rate: 7.513E-05 | global batch size: 512 | lm loss: 1.980835E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.604 | TFLOPs: 41.07 | 31: iteration 21380/ 33899 | consumed samples: 10946560 | consumed tokens: 22418554880 | elapsed time per iteration (s): 1.83 | learning rate: 7.505E-05 | global batch size: 512 | lm loss: 1.975488E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.060 | TFLOPs: 41.89 | 31: iteration 21390/ 33899 | consumed samples: 10951680 | consumed tokens: 22429040640 | elapsed time per iteration (s): 1.90 | learning rate: 7.497E-05 | global batch size: 512 | lm loss: 1.998289E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.071 | TFLOPs: 40.39 | 31: iteration 21400/ 33899 | consumed samples: 10956800 | consumed tokens: 22439526400 | elapsed time per iteration (s): 1.82 | learning rate: 7.489E-05 | global batch size: 512 | lm loss: 2.000106E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.844 | TFLOPs: 42.15 | 31: iteration 21410/ 33899 | consumed samples: 10961920 | consumed tokens: 22450012160 | elapsed time per iteration (s): 1.85 | learning rate: 7.482E-05 | global batch size: 512 | lm loss: 1.978163E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.295 | TFLOPs: 41.62 | 31: iteration 21420/ 33899 | consumed samples: 10967040 | consumed tokens: 22460497920 | elapsed time per iteration (s): 1.77 | learning rate: 7.474E-05 | global batch size: 512 | lm loss: 2.010811E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.858 | TFLOPs: 43.51 | 31: iteration 21430/ 33899 | consumed samples: 10972160 | consumed tokens: 22470983680 | elapsed time per iteration (s): 1.83 | learning rate: 7.466E-05 | global batch size: 512 | lm loss: 1.993914E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.009 | TFLOPs: 42.03 | 31: iteration 21440/ 33899 | consumed samples: 10977280 | consumed tokens: 22481469440 | elapsed time per iteration (s): 1.83 | learning rate: 7.458E-05 | global batch size: 512 | lm loss: 1.978392E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.689 | TFLOPs: 41.98 | 31: iteration 21450/ 33899 | consumed samples: 10982400 | consumed tokens: 22491955200 | elapsed time per iteration (s): 1.82 | learning rate: 7.451E-05 | global batch size: 512 | lm loss: 2.008233E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.998 | TFLOPs: 42.18 | 31: iteration 21460/ 33899 | consumed samples: 10987520 | consumed tokens: 22502440960 | elapsed time per iteration (s): 1.84 | learning rate: 7.443E-05 | global batch size: 512 | lm loss: 2.002399E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.314 | TFLOPs: 41.77 | 31: iteration 21470/ 33899 | consumed samples: 10992640 | consumed tokens: 22512926720 | elapsed time per iteration (s): 1.83 | learning rate: 7.435E-05 | global batch size: 512 | lm loss: 2.017743E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.765 | TFLOPs: 41.99 | 31: iteration 21480/ 33899 | consumed samples: 10997760 | consumed tokens: 22523412480 | elapsed time per iteration (s): 1.85 | learning rate: 7.427E-05 | global batch size: 512 | lm loss: 1.995714E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.780 | TFLOPs: 41.54 | 31: iteration 21490/ 33899 | consumed samples: 11002880 | consumed tokens: 22533898240 | elapsed time per iteration (s): 1.83 | learning rate: 7.420E-05 | global batch size: 512 | lm loss: 1.991287E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.233 | TFLOPs: 41.91 | 31: iteration 21500/ 33899 | consumed samples: 11008000 | consumed tokens: 22544384000 | elapsed time per iteration (s): 1.81 | learning rate: 7.412E-05 | global batch size: 512 | lm loss: 2.001852E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.199 | TFLOPs: 42.51 | 31: iteration 21510/ 33899 | consumed samples: 11013120 | consumed tokens: 22554869760 | elapsed time per iteration (s): 1.83 | learning rate: 7.404E-05 | global batch size: 512 | lm loss: 2.019653E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.727 | TFLOPs: 41.99 | 31: iteration 21520/ 33899 | consumed samples: 11018240 | consumed tokens: 22565355520 | elapsed time per iteration (s): 1.83 | learning rate: 7.396E-05 | global batch size: 512 | lm loss: 1.994003E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.055 | TFLOPs: 41.88 | 31: iteration 21530/ 33899 | consumed samples: 11023360 | consumed tokens: 22575841280 | elapsed time per iteration (s): 1.77 | learning rate: 7.389E-05 | global batch size: 512 | lm loss: 2.004301E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.904 | TFLOPs: 43.36 | 31: iteration 21540/ 33899 | consumed samples: 11028480 | consumed tokens: 22586327040 | elapsed time per iteration (s): 1.89 | learning rate: 7.381E-05 | global batch size: 512 | lm loss: 2.005632E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.208 | TFLOPs: 40.71 | 31: iteration 21550/ 33899 | consumed samples: 11033600 | consumed tokens: 22596812800 | elapsed time per iteration (s): 1.81 | learning rate: 7.373E-05 | global batch size: 512 | lm loss: 2.010036E+00 | grad norm: 0.118 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.406 | TFLOPs: 42.54 | 31: iteration 21560/ 33899 | consumed samples: 11038720 | consumed tokens: 22607298560 | elapsed time per iteration (s): 1.87 | learning rate: 7.366E-05 | global batch size: 512 | lm loss: 2.003617E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.487 | TFLOPs: 41.05 | 31: iteration 21570/ 33899 | consumed 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33899 | consumed samples: 11146240 | consumed tokens: 22827499520 | elapsed time per iteration (s): 1.79 | learning rate: 7.204E-05 | global batch size: 512 | lm loss: 2.013689E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.462 | TFLOPs: 43.00 | 31: iteration 21780/ 33899 | consumed samples: 11151360 | consumed tokens: 22837985280 | elapsed time per iteration (s): 1.82 | learning rate: 7.197E-05 | global batch size: 512 | lm loss: 1.980234E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.571 | TFLOPs: 42.26 | 31: iteration 21790/ 33899 | consumed samples: 11156480 | consumed tokens: 22848471040 | elapsed time per iteration (s): 1.87 | learning rate: 7.189E-05 | global batch size: 512 | lm loss: 1.997464E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per 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norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.153 | TFLOPs: 42.35 | 31: iteration 21860/ 33899 | consumed samples: 11192320 | consumed tokens: 22921871360 | elapsed time per iteration (s): 1.84 | learning rate: 7.136E-05 | global batch size: 512 | lm loss: 2.013782E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.691 | TFLOPs: 41.68 | 31: iteration 21870/ 33899 | consumed samples: 11197440 | consumed tokens: 22932357120 | elapsed time per iteration (s): 1.79 | learning rate: 7.128E-05 | global batch size: 512 | lm loss: 1.993775E+00 | grad norm: 0.117 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.434 | TFLOPs: 42.84 | 31: iteration 21880/ 33899 | consumed samples: 11202560 | consumed tokens: 22942842880 | elapsed time per iteration (s): 1.86 | learning rate: 7.121E-05 | global batch size: 512 | lm loss: 2.001380E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.641 | TFLOPs: 41.37 | 31: iteration 21890/ 33899 | consumed samples: 11207680 | consumed tokens: 22953328640 | elapsed time per iteration (s): 1.88 | learning rate: 7.113E-05 | global batch size: 512 | lm loss: 1.997580E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.093 | TFLOPs: 40.84 | 31: iteration 21900/ 33899 | consumed samples: 11212800 | consumed tokens: 22963814400 | elapsed time per iteration (s): 1.85 | learning rate: 7.105E-05 | global batch size: 512 | lm loss: 2.000590E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.640 | TFLOPs: 41.52 | 31: iteration 21910/ 33899 | consumed samples: 11217920 | consumed tokens: 22974300160 | elapsed time per iteration (s): 1.78 | learning rate: 7.098E-05 | global batch size: 512 | lm loss: 2.015952E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.688 | TFLOPs: 43.18 | 31: iteration 21920/ 33899 | consumed samples: 11223040 | consumed tokens: 22984785920 | elapsed time per iteration (s): 1.85 | learning rate: 7.090E-05 | global batch size: 512 | lm loss: 1.998360E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.049 | TFLOPs: 41.43 | 31: iteration 21930/ 33899 | consumed samples: 11228160 | consumed tokens: 22995271680 | elapsed time per iteration (s): 1.89 | learning rate: 7.083E-05 | global batch size: 512 | lm loss: 1.995917E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.405 | TFLOPs: 40.59 | 31: iteration 21940/ 33899 | consumed samples: 11233280 | consumed tokens: 23005757440 | elapsed time per iteration (s): 1.82 | learning rate: 7.075E-05 | global batch size: 512 | lm loss: 1.981196E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.570 | TFLOPs: 42.26 | 31: iteration 21950/ 33899 | consumed samples: 11238400 | consumed tokens: 23016243200 | elapsed time per iteration (s): 1.78 | learning rate: 7.067E-05 | global batch size: 512 | lm loss: 1.995462E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.012 | TFLOPs: 43.08 | 31: iteration 21960/ 33899 | consumed samples: 11243520 | consumed tokens: 23026728960 | elapsed time per iteration (s): 1.83 | learning rate: 7.060E-05 | global batch size: 512 | lm loss: 1.985435E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.219 | TFLOPs: 42.06 | 31: 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samples per second: 272.365 | TFLOPs: 40.88 | 0: [2022-11-26 06:22:48,602] [INFO] [logging.py:68:log_dist] [Rank 0] step=22000, skipped=0, lr=[7.02959046520308e-05, 7.02959046520308e-05, 7.02959046520308e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 22000/ 33899 | consumed samples: 11264000 | consumed tokens: 23068672000 | elapsed time per iteration (s): 1.83 | learning rate: 7.030E-05 | global batch size: 512 | lm loss: 1.981669E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.361 | TFLOPs: 41.93 | 0: steps: 22000 loss: 1.9264 iter time (s): 1.844 samples/sec: 277.633 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 22000 | lm loss value: 1.961798E+00 | lm loss PPL: 7.112102E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 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checkpoints_2b8/global_step22000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-26 06:22:55,584] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step22000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-26 06:22:55,584] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b8/global_step22000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-26 06:22:55,584] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now! 4: [2022-11-26 06:22:55,584] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now! 10: [2022-11-26 06:22:55,584] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b8/global_step22000/bf16_zero_pp_rank_82_mp_rank_00_optim_states.pt. 10: [2022-11-26 06:22:55,585] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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| TFLOPs: 41.14 | 31: iteration 22030/ 33899 | consumed samples: 11279360 | consumed tokens: 23100129280 | elapsed time per iteration (s): 1.85 | learning rate: 7.007E-05 | global batch size: 512 | lm loss: 1.989743E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.348 | TFLOPs: 41.63 | 31: iteration 22040/ 33899 | consumed samples: 11284480 | consumed tokens: 23110615040 | elapsed time per iteration (s): 1.89 | learning rate: 6.999E-05 | global batch size: 512 | lm loss: 1.998310E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.597 | TFLOPs: 40.62 | 31: iteration 22050/ 33899 | consumed samples: 11289600 | consumed tokens: 23121100800 | elapsed time per iteration (s): 1.83 | learning rate: 6.992E-05 | global batch size: 512 | lm loss: 2.000438E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.062 | TFLOPs: 42.04 | 31: iteration 22060/ 33899 | consumed samples: 11294720 | consumed tokens: 23131586560 | elapsed time per iteration (s): 1.85 | learning rate: 6.984E-05 | global batch size: 512 | lm loss: 2.006460E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.823 | TFLOPs: 41.55 | 31: iteration 22070/ 33899 | consumed samples: 11299840 | consumed tokens: 23142072320 | elapsed time per iteration (s): 1.87 | learning rate: 6.977E-05 | global batch size: 512 | lm loss: 1.983694E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.089 | TFLOPs: 40.99 | 31: iteration 22080/ 33899 | consumed samples: 11304960 | consumed tokens: 23152558080 | elapsed time per iteration (s): 1.83 | learning rate: 6.969E-05 | global batch size: 512 | lm loss: 2.008619E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.129 | TFLOPs: 42.05 | 31: iteration 22090/ 33899 | consumed samples: 11310080 | consumed tokens: 23163043840 | elapsed time per iteration (s): 1.82 | learning rate: 6.962E-05 | global batch size: 512 | lm loss: 1.974514E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.851 | TFLOPs: 42.15 | 31: iteration 22100/ 33899 | consumed samples: 11315200 | consumed tokens: 23173529600 | elapsed time per iteration (s): 1.86 | learning rate: 6.954E-05 | global batch size: 512 | lm loss: 1.979719E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.299 | TFLOPs: 41.32 | 31: iteration 22110/ 33899 | consumed samples: 11320320 | consumed tokens: 23184015360 | elapsed time per iteration (s): 1.86 | learning rate: 6.947E-05 | global batch size: 512 | lm loss: 1.996983E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.380 | TFLOPs: 41.33 | 31: iteration 22120/ 33899 | consumed samples: 11325440 | consumed tokens: 23194501120 | elapsed time per iteration (s): 1.89 | learning rate: 6.939E-05 | global batch size: 512 | lm loss: 1.991742E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.483 | TFLOPs: 40.60 | 31: iteration 22130/ 33899 | consumed samples: 11330560 | consumed tokens: 23204986880 | elapsed time per iteration (s): 1.83 | learning rate: 6.932E-05 | global batch size: 512 | lm loss: 1.997475E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.951 | TFLOPs: 42.02 | 31: iteration 22140/ 33899 | consumed samples: 11335680 | consumed tokens: 23215472640 | elapsed time per iteration (s): 1.82 | learning rate: 6.924E-05 | global batch size: 512 | lm loss: 1.992972E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.771 | TFLOPs: 42.14 | 31: iteration 22150/ 33899 | consumed samples: 11340800 | consumed tokens: 23225958400 | elapsed time per iteration (s): 1.82 | learning rate: 6.917E-05 | global batch size: 512 | lm loss: 1.980728E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.822 | TFLOPs: 42.30 | 31: iteration 22160/ 33899 | consumed samples: 11345920 | consumed tokens: 23236444160 | elapsed time per iteration (s): 1.86 | learning rate: 6.909E-05 | global batch size: 512 | lm loss: 1.992052E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.565 | TFLOPs: 41.36 | 31: iteration 22170/ 33899 | consumed samples: 11351040 | consumed tokens: 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33899 | consumed samples: 11366400 | consumed tokens: 23278387200 | elapsed time per iteration (s): 1.84 | learning rate: 6.879E-05 | global batch size: 512 | lm loss: 1.996001E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.546 | TFLOPs: 41.81 | 31: iteration 22210/ 33899 | consumed samples: 11371520 | consumed tokens: 23288872960 | elapsed time per iteration (s): 1.84 | learning rate: 6.872E-05 | global batch size: 512 | lm loss: 2.001705E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.241 | TFLOPs: 41.76 | 31: iteration 22220/ 33899 | consumed samples: 11376640 | consumed tokens: 23299358720 | elapsed time per iteration (s): 1.88 | learning rate: 6.864E-05 | global batch size: 512 | lm loss: 1.975940E+00 | grad norm: 0.118 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per 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iterations: 0 | number of nan iterations: 0 | samples per second: 268.239 | TFLOPs: 40.26 | 31: iteration 22260/ 33899 | consumed samples: 11397120 | consumed tokens: 23341301760 | elapsed time per iteration (s): 1.88 | learning rate: 6.834E-05 | global batch size: 512 | lm loss: 2.000425E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.316 | TFLOPs: 40.87 | 31: iteration 22270/ 33899 | consumed samples: 11402240 | consumed tokens: 23351787520 | elapsed time per iteration (s): 1.90 | learning rate: 6.827E-05 | global batch size: 512 | lm loss: 1.987406E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.168 | TFLOPs: 40.40 | 31: iteration 22280/ 33899 | consumed samples: 11407360 | consumed tokens: 23362273280 | elapsed time per iteration (s): 1.86 | learning rate: 6.819E-05 | global batch size: 512 | lm loss: 1.978658E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.422 | TFLOPs: 41.34 | 31: iteration 22290/ 33899 | consumed samples: 11412480 | consumed tokens: 23372759040 | elapsed time per iteration (s): 1.86 | learning rate: 6.812E-05 | global batch size: 512 | lm loss: 1.997558E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.371 | TFLOPs: 41.33 | 31: iteration 22300/ 33899 | consumed samples: 11417600 | consumed tokens: 23383244800 | elapsed time per iteration (s): 1.86 | learning rate: 6.804E-05 | global batch size: 512 | lm loss: 1.977584E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.928 | TFLOPs: 41.42 | 31: iteration 22310/ 33899 | consumed samples: 11422720 | consumed tokens: 23393730560 | elapsed time per iteration (s): 1.79 | learning rate: 6.797E-05 | global batch size: 512 | lm loss: 1.989075E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.757 | TFLOPs: 42.89 | 31: iteration 22320/ 33899 | consumed samples: 11427840 | consumed tokens: 23404216320 | elapsed time per iteration (s): 1.90 | learning rate: 6.789E-05 | global batch size: 512 | lm loss: 1.994620E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.200 | TFLOPs: 40.41 | 31: iteration 22330/ 33899 | consumed samples: 11432960 | consumed tokens: 23414702080 | elapsed time per iteration (s): 1.87 | learning rate: 6.782E-05 | global batch size: 512 | lm loss: 1.972585E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.466 | TFLOPs: 41.20 | 31: iteration 22340/ 33899 | consumed samples: 11438080 | consumed tokens: 23425187840 | elapsed time per 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iteration 22400/ 33899 | consumed samples: 11468800 | consumed tokens: 23488102400 | elapsed time per iteration (s): 1.87 | learning rate: 6.730E-05 | global batch size: 512 | lm loss: 1.998276E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.257 | TFLOPs: 41.01 | 31: iteration 22410/ 33899 | consumed samples: 11473920 | consumed tokens: 23498588160 | elapsed time per iteration (s): 1.90 | learning rate: 6.723E-05 | global batch size: 512 | lm loss: 1.988870E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.936 | TFLOPs: 40.37 | 31: iteration 22420/ 33899 | consumed samples: 11479040 | consumed tokens: 23509073920 | elapsed time per iteration (s): 1.88 | learning rate: 6.715E-05 | global batch size: 512 | lm loss: 1.985663E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.382 | TFLOPs: 41.63 | 31: iteration 22460/ 33899 | consumed samples: 11499520 | consumed tokens: 23551016960 | elapsed time per iteration (s): 1.85 | learning rate: 6.686E-05 | global batch size: 512 | lm loss: 1.999945E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.264 | TFLOPs: 41.47 | 31: iteration 22470/ 33899 | consumed samples: 11504640 | consumed tokens: 23561502720 | elapsed time per iteration (s): 1.80 | learning rate: 6.678E-05 | global batch size: 512 | lm loss: 1.997068E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.596 | TFLOPs: 42.72 | 31: iteration 22480/ 33899 | consumed samples: 11509760 | consumed tokens: 23571988480 | elapsed time per iteration (s): 1.86 | learning rate: 6.671E-05 | global batch size: 512 | lm loss: 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rate: 6.649E-05 | global batch size: 512 | lm loss: 1.985156E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.310 | TFLOPs: 42.52 | 31: iteration 22520/ 33899 | consumed samples: 11530240 | consumed tokens: 23613931520 | elapsed time per iteration (s): 1.79 | learning rate: 6.641E-05 | global batch size: 512 | lm loss: 1.978878E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.420 | TFLOPs: 42.84 | 31: iteration 22530/ 33899 | consumed samples: 11535360 | consumed tokens: 23624417280 | elapsed time per iteration (s): 1.84 | learning rate: 6.634E-05 | global batch size: 512 | lm loss: 1.997296E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.744 | TFLOPs: 41.84 | 31: iteration 22540/ 33899 | consumed samples: 11540480 | consumed tokens: 23634903040 | elapsed time per iteration (s): 2.73 | learning rate: 6.627E-05 | global batch size: 512 | lm loss: 1.979853E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 187.712 | TFLOPs: 28.17 | 31: iteration 22550/ 33899 | consumed samples: 11545600 | consumed tokens: 23645388800 | elapsed time per iteration (s): 1.90 | learning rate: 6.619E-05 | global batch size: 512 | lm loss: 1.989481E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.260 | TFLOPs: 40.41 | 31: iteration 22560/ 33899 | consumed samples: 11550720 | consumed tokens: 23655874560 | elapsed time per iteration (s): 1.84 | learning rate: 6.612E-05 | global batch size: 512 | lm loss: 2.003231E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.911 | TFLOPs: 41.86 | 31: iteration 22570/ 33899 | consumed samples: 11555840 | consumed tokens: 23666360320 | elapsed time per iteration (s): 1.81 | learning rate: 6.604E-05 | global batch size: 512 | lm loss: 1.997939E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.796 | TFLOPs: 42.45 | 31: iteration 22580/ 33899 | consumed samples: 11560960 | consumed tokens: 23676846080 | elapsed time per iteration (s): 1.86 | learning rate: 6.597E-05 | global batch size: 512 | lm loss: 1.993490E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.619 | TFLOPs: 41.37 | 31: iteration 22590/ 33899 | consumed samples: 11566080 | consumed tokens: 23687331840 | elapsed time per iteration (s): 1.88 | learning rate: 6.590E-05 | global batch size: 512 | lm loss: 1.992238E+00 | grad norm: 0.120 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.466 | TFLOPs: 40.90 | 31: iteration 22600/ 33899 | consumed samples: 11571200 | consumed tokens: 23697817600 | elapsed time per iteration (s): 1.82 | learning rate: 6.582E-05 | global batch size: 512 | lm loss: 1.980756E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.059 | TFLOPs: 42.34 | 31: iteration 22610/ 33899 | consumed samples: 11576320 | consumed tokens: 23708303360 | elapsed time per iteration (s): 1.92 | learning rate: 6.575E-05 | global batch size: 512 | lm loss: 1.985924E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.347 | TFLOPs: 40.13 | 31: iteration 22620/ 33899 | consumed samples: 11581440 | consumed tokens: 23718789120 | elapsed time per iteration (s): 1.84 | learning rate: 6.568E-05 | global batch size: 512 | lm loss: 1.985808E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.030 | TFLOPs: 41.73 | 31: iteration 22630/ 33899 | consumed samples: 11586560 | consumed tokens: 23729274880 | elapsed time per iteration (s): 1.84 | learning rate: 6.560E-05 | global batch size: 512 | lm loss: 1.981093E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.935 | TFLOPs: 41.87 | 31: iteration 22640/ 33899 | consumed samples: 11591680 | consumed tokens: 23739760640 | elapsed time per iteration (s): 1.90 | learning rate: 6.553E-05 | global batch size: 512 | lm loss: 1.991466E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.171 | TFLOPs: 40.55 | 31: iteration 22650/ 33899 | consumed samples: 11596800 | consumed tokens: 23750246400 | elapsed time per iteration (s): 1.76 | learning rate: 6.546E-05 | global batch size: 512 | lm loss: 2.004492E+00 | grad norm: 0.137 | num zeros: 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loss: 1.980178E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.107 | TFLOPs: 41.74 | 31: iteration 22690/ 33899 | consumed samples: 11617280 | consumed tokens: 23792189440 | elapsed time per iteration (s): 1.81 | learning rate: 6.517E-05 | global batch size: 512 | lm loss: 1.989258E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.330 | TFLOPs: 42.53 | 31: iteration 22700/ 33899 | consumed samples: 11622400 | consumed tokens: 23802675200 | elapsed time per iteration (s): 1.84 | learning rate: 6.509E-05 | global batch size: 512 | lm loss: 2.009816E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.348 | TFLOPs: 41.78 | 31: iteration 22710/ 33899 | consumed samples: 11627520 | consumed tokens: 23813160960 | elapsed time per iteration (s): 1.78 | learning rate: 6.502E-05 | global batch size: 512 | lm loss: 1.982897E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.021 | TFLOPs: 43.23 | 31: iteration 22720/ 33899 | consumed samples: 11632640 | consumed tokens: 23823646720 | elapsed time per iteration (s): 1.84 | learning rate: 6.495E-05 | global batch size: 512 | lm loss: 1.979171E+00 | grad norm: 0.120 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.845 | TFLOPs: 41.70 | 31: iteration 22730/ 33899 | consumed samples: 11637760 | consumed tokens: 23834132480 | elapsed time per iteration (s): 1.89 | learning rate: 6.487E-05 | global batch size: 512 | lm loss: 2.002991E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.547 | TFLOPs: 40.76 | 31: iteration 22740/ 33899 | consumed samples: 11642880 | consumed tokens: 23844618240 | elapsed time per iteration (s): 1.80 | learning rate: 6.480E-05 | global batch size: 512 | lm loss: 1.997563E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.454 | TFLOPs: 42.70 | 31: iteration 22750/ 33899 | consumed samples: 11648000 | consumed tokens: 23855104000 | elapsed time per iteration (s): 1.79 | learning rate: 6.473E-05 | global batch size: 512 | lm loss: 1.988118E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.581 | TFLOPs: 43.01 | 31: iteration 22760/ 33899 | consumed samples: 11653120 | consumed tokens: 23865589760 | elapsed time per iteration (s): 1.89 | learning rate: 6.466E-05 | global batch size: 512 | lm loss: 1.995442E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.759 | TFLOPs: 40.64 | 31: iteration 22770/ 33899 | consumed samples: 11658240 | consumed tokens: 23876075520 | elapsed time per iteration (s): 1.82 | learning rate: 6.458E-05 | global batch size: 512 | lm loss: 1.972677E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.009 | TFLOPs: 42.33 | 31: iteration 22780/ 33899 | consumed samples: 11663360 | consumed tokens: 23886561280 | elapsed time per iteration (s): 1.79 | learning rate: 6.451E-05 | global batch size: 512 | lm loss: 1.997748E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.655 | TFLOPs: 42.88 | 31: iteration 22790/ 33899 | consumed samples: 11668480 | consumed tokens: 23897047040 | elapsed time per iteration (s): 1.77 | learning rate: 6.444E-05 | global batch size: 512 | lm loss: 1.996025E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.317 | TFLOPs: 43.42 | 31: iteration 22800/ 33899 | consumed samples: 11673600 | consumed tokens: 23907532800 | elapsed time per iteration (s): 1.82 | learning rate: 6.436E-05 | global batch size: 512 | lm loss: 1.986785E+00 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.607 | TFLOPs: 42.12 | 31: iteration 22810/ 33899 | consumed samples: 11678720 | consumed tokens: 23918018560 | elapsed time per iteration (s): 1.84 | learning rate: 6.429E-05 | global batch size: 512 | lm loss: 1.970308E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.751 | TFLOPs: 41.69 | 31: iteration 22820/ 33899 | consumed samples: 11683840 | consumed tokens: 23928504320 | elapsed time per iteration (s): 1.82 | learning rate: 6.422E-05 | global batch size: 512 | lm loss: 1.995356E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.839 | TFLOPs: 42.30 | 31: iteration 22830/ 33899 | consumed samples: 11688960 | consumed tokens: 23938990080 | elapsed time per iteration (s): 1.85 | learning rate: 6.415E-05 | global batch size: 512 | lm loss: 1.989070E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.135 | TFLOPs: 41.60 | 31: iteration 22840/ 33899 | consumed samples: 11694080 | consumed tokens: 23949475840 | elapsed time per iteration (s): 1.85 | learning rate: 6.407E-05 | global batch size: 512 | lm loss: 1.974697E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.215 | TFLOPs: 41.61 | 31: iteration 22850/ 33899 | consumed samples: 11699200 | consumed tokens: 23959961600 | elapsed time per iteration (s): 1.84 | learning rate: 6.400E-05 | global batch size: 512 | lm loss: 1.999450E+00 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.010 | TFLOPs: 41.88 | 31: iteration 22860/ 33899 | consumed samples: 11704320 | consumed tokens: 23970447360 | elapsed time per iteration (s): 1.77 | learning rate: 6.393E-05 | global batch size: 512 | lm loss: 1.962918E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.483 | TFLOPs: 43.30 | 31: iteration 22870/ 33899 | consumed samples: 11709440 | consumed tokens: 23980933120 | elapsed time per iteration (s): 1.83 | learning rate: 6.386E-05 | global batch size: 512 | lm loss: 1.967422E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.183 | TFLOPs: 42.05 | 31: iteration 22880/ 33899 | consumed samples: 11714560 | consumed tokens: 23991418880 | elapsed time per iteration (s): 1.92 | learning rate: 6.378E-05 | global batch size: 512 | lm loss: 1.990982E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.954 | TFLOPs: 40.07 | 31: iteration 22890/ 33899 | consumed samples: 11719680 | consumed tokens: 24001904640 | elapsed time per iteration (s): 1.84 | learning rate: 6.371E-05 | global batch size: 512 | lm loss: 1.993889E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.580 | TFLOPs: 41.66 | 31: iteration 22900/ 33899 | consumed samples: 11724800 | consumed tokens: 24012390400 | elapsed time per iteration (s): 1.77 | learning rate: 6.364E-05 | global batch size: 512 | lm loss: 2.008489E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.800 | TFLOPs: 43.35 | 31: iteration 22910/ 33899 | consumed samples: 11729920 | consumed tokens: 24022876160 | elapsed time per iteration (s): 1.81 | learning rate: 6.357E-05 | global batch size: 512 | lm loss: 1.982843E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.366 | TFLOPs: 42.38 | 31: iteration 22920/ 33899 | consumed samples: 11735040 | consumed tokens: 24033361920 | elapsed time per iteration (s): 1.81 | learning rate: 6.350E-05 | global batch size: 512 | lm loss: 1.988690E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 283.180 | TFLOPs: 42.50 | 31: iteration 22930/ 33899 | consumed samples: 11740160 | consumed tokens: 24043847680 | elapsed time per iteration (s): 1.79 | learning rate: 6.342E-05 | global batch size: 512 | lm loss: 1.983247E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.242 | TFLOPs: 42.81 | 31: iteration 22940/ 33899 | consumed samples: 11745280 | consumed tokens: 24054333440 | elapsed time per iteration (s): 1.82 | learning rate: 6.335E-05 | global batch size: 512 | lm loss: 1.992177E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.337 | TFLOPs: 42.23 | 31: iteration 22950/ 33899 | consumed samples: 11750400 | consumed tokens: 24064819200 | elapsed time per iteration (s): 1.82 | learning rate: 6.328E-05 | global batch size: 512 | lm loss: 2.010840E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.641 | TFLOPs: 42.27 | 31: iteration 22960/ 33899 | consumed samples: 11755520 | consumed tokens: 24075304960 | elapsed time per iteration (s): 1.80 | learning rate: 6.321E-05 | global batch size: 512 | lm loss: 1.994927E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.106 | TFLOPs: 42.79 | 31: iteration 22970/ 33899 | consumed samples: 11760640 | consumed tokens: 24085790720 | elapsed time per iteration (s): 1.82 | learning rate: 6.314E-05 | global batch size: 512 | lm loss: 1.987441E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.908 | TFLOPs: 42.16 | 31: iteration 22980/ 33899 | consumed samples: 11765760 | consumed tokens: 24096276480 | elapsed time per iteration (s): 1.81 | learning rate: 6.306E-05 | global batch size: 512 | lm loss: 1.999883E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.949 | TFLOPs: 42.47 | 31: iteration 22990/ 33899 | consumed samples: 11770880 | consumed tokens: 24106762240 | elapsed time per iteration (s): 1.79 | learning rate: 6.299E-05 | global batch size: 512 | lm loss: 1.980710E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.985 | TFLOPs: 42.92 | 31: iteration 23000/ 33899 | consumed samples: 11776000 | consumed tokens: 24117248000 | elapsed time per iteration (s): 1.86 | learning rate: 6.292E-05 | global batch size: 512 | lm loss: 1.998902E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.527 | TFLOPs: 41.36 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 23000 | lm loss value: 1.972447E+00 | lm loss PPL: 7.188246E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 23000 to checkpoints_2b8 0: [2022-11-26 06:53:45,593] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step23000 is begin to save! 0: [2022-11-26 06:53:45,608] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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rate: 6.263E-05 | global batch size: 512 | lm loss: 1.970415E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.624 | TFLOPs: 42.27 | 31: iteration 23050/ 33899 | consumed samples: 11801600 | consumed tokens: 24169676800 | elapsed time per iteration (s): 1.83 | learning rate: 6.256E-05 | global batch size: 512 | lm loss: 1.986644E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.272 | TFLOPs: 42.07 | 31: iteration 23060/ 33899 | consumed samples: 11806720 | consumed tokens: 24180162560 | elapsed time per iteration (s): 1.85 | learning rate: 6.249E-05 | global batch size: 512 | lm loss: 1.992404E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.237 | TFLOPs: 41.46 | 31: iteration 23070/ 33899 | consumed samples: 11811840 | consumed tokens: 24190648320 | elapsed time per iteration (s): 1.78 | learning rate: 6.242E-05 | global batch size: 512 | lm loss: 1.996429E+00 | grad norm: 0.117 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.027 | TFLOPs: 43.23 | 31: iteration 23080/ 33899 | consumed samples: 11816960 | consumed tokens: 24201134080 | elapsed time per iteration (s): 1.83 | learning rate: 6.235E-05 | global batch size: 512 | lm loss: 1.983816E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.133 | TFLOPs: 41.90 | 31: iteration 23090/ 33899 | consumed samples: 11822080 | consumed tokens: 24211619840 | elapsed time per iteration (s): 1.79 | learning rate: 6.228E-05 | global batch size: 512 | lm loss: 1.974557E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.156 | TFLOPs: 42.95 | 31: iteration 23100/ 33899 | consumed samples: 11827200 | consumed tokens: 24222105600 | elapsed time per iteration (s): 1.79 | learning rate: 6.220E-05 | global batch size: 512 | lm loss: 1.981320E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.976 | TFLOPs: 42.92 | 31: iteration 23110/ 33899 | consumed samples: 11832320 | consumed tokens: 24232591360 | elapsed time per iteration (s): 1.86 | learning rate: 6.213E-05 | global batch size: 512 | lm loss: 2.002954E+00 | grad norm: 0.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.041 | TFLOPs: 41.28 | 31: iteration 23120/ 33899 | consumed samples: 11837440 | consumed tokens: 24243077120 | elapsed time per iteration (s): 1.84 | learning rate: 6.206E-05 | global batch size: 512 | lm loss: 1.989364E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.407 | TFLOPs: 41.79 | 31: iteration 23130/ 33899 | consumed samples: 11842560 | consumed tokens: 24253562880 | elapsed time per iteration (s): 2.01 | learning rate: 6.199E-05 | global batch size: 512 | lm loss: 1.977161E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 254.557 | TFLOPs: 38.21 | 31: iteration 23140/ 33899 | consumed samples: 11847680 | consumed tokens: 24264048640 | elapsed time per iteration (s): 1.89 | learning rate: 6.192E-05 | global batch size: 512 | lm loss: 1.971888E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.723 | TFLOPs: 40.63 | 31: iteration 23150/ 33899 | consumed samples: 11852800 | consumed tokens: 24274534400 | elapsed time per iteration (s): 1.86 | learning rate: 6.185E-05 | global batch size: 512 | lm loss: 1.966697E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.501 | TFLOPs: 41.35 |