diff --git "a/8b712b12b/2059276_2.out" "b/8b712b12b/2059276_2.out" new file mode 100644--- /dev/null +++ "b/8b712b12b/2059276_2.out" @@ -0,0 +1,17473 @@ +57: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +63: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +39: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +53: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +33: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +13: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +58: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +40: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +60: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +52: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +30: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +57: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +39: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +57: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +39: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +58: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +57: START 2059276: Fri Nov 25 09:39:25 EET 2022 +39: START 2059276: Fri Nov 25 09:39:25 EET 2022 +58: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +58: START 2059276: Fri Nov 25 09:39:25 EET 2022 +53: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +55: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +51: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 + 1: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +61: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +59: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +35: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 + 5: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +29: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +37: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +40: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i + 4: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +56: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +54: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +62: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +36: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +28: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +38: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 + 0: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 + 2: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +24: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +49: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +47: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +41: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +45: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +43: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +27: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +25: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 + 3: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 + 7: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +17: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +23: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +53: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +40: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +34: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +46: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +44: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 + 6: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +16: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +10: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +20: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +53: START 2059276: Fri Nov 25 09:39:25 EET 2022 +40: START 2059276: Fri Nov 25 09:39:25 EET 2022 +42: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 + 9: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +32: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +63: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +63: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +60: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +60: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +63: START 2059276: Fri Nov 25 09:39:25 EET 2022 +60: START 2059276: Fri Nov 25 09:39:25 EET 2022 +33: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +33: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +33: START 2059276: Fri Nov 25 09:39:25 EET 2022 +59: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +13: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +29: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +52: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +30: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +54: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +36: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +28: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +38: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +48: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +50: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +55: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +59: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +13: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +35: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +29: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +37: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +52: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +56: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +54: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 0: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i + 2: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +49: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +34: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +18: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +12: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +14: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +55: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +59: START 2059276: Fri Nov 25 09:39:25 EET 2022 +13: START 2059276: Fri Nov 25 09:39:25 EET 2022 +35: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +29: START 2059276: Fri Nov 25 09:39:25 EET 2022 +37: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +52: START 2059276: Fri Nov 25 09:39:25 EET 2022 +30: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +56: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +54: START 2059276: Fri Nov 25 09:39:25 EET 2022 +36: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +28: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +38: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +49: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +55: START 2059276: Fri Nov 25 09:39:25 EET 2022 +35: START 2059276: Fri Nov 25 09:39:25 EET 2022 +37: START 2059276: Fri Nov 25 09:39:25 EET 2022 +30: START 2059276: Fri Nov 25 09:39:25 EET 2022 +56: START 2059276: Fri Nov 25 09:39:25 EET 2022 +36: START 2059276: Fri Nov 25 09:39:25 EET 2022 +28: START 2059276: Fri Nov 25 09:39:25 EET 2022 +38: START 2059276: Fri Nov 25 09:39:25 EET 2022 + 0: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 2: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +34: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 0: START 2059276: Fri Nov 25 09:39:25 EET 2022 + 2: START 2059276: Fri Nov 25 09:39:25 EET 2022 +34: START 2059276: Fri Nov 25 09:39:25 EET 2022 +49: START 2059276: Fri Nov 25 09:39:25 EET 2022 +57: +57: +57: ======================= ROCm System Management Interface ======================= +57: ================================= Concise Info ================================= +57: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +57: 0 44.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +57: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +57: 2 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +57: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +57: 4 42.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +57: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +57: 6 38.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +57: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +57: ================================================================================ +57: ============================= End of ROCm SMI Log ============================== +39: +39: +39: ======================= ROCm System Management Interface ======================= +39: ================================= Concise Info ================================= +39: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +39: 0 46.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +39: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +39: 2 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +39: 3 38.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +39: 4 44.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +39: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +39: 6 40.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +39: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +39: ================================================================================ +39: ============================= End of ROCm SMI Log ============================== + 1: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +61: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i + 5: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +58: +58: +58: ======================= ROCm System Management Interface ======================= +58: ================================= Concise Info ================================= +58: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +58: 0 45.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +58: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +58: 2 37.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +58: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +58: 4 41.0c 100.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +58: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +58: 6 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +58: 7 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +58: ================================================================================ +58: ============================= End of ROCm SMI Log ============================== +47: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +41: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +45: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +27: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +31: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +46: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +16: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +10: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +51: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i + 1: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +61: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 5: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +62: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +47: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +45: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +27: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +25: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +19: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 + 8: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +15: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +22: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +51: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 1: START 2059276: Fri Nov 25 09:39:25 EET 2022 +61: START 2059276: Fri Nov 25 09:39:25 EET 2022 + 5: START 2059276: Fri Nov 25 09:39:25 EET 2022 +47: START 2059276: Fri Nov 25 09:39:25 EET 2022 +41: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +45: START 2059276: Fri Nov 25 09:39:25 EET 2022 +27: START 2059276: Fri Nov 25 09:39:25 EET 2022 +46: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +16: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +10: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +51: START 2059276: Fri Nov 25 09:39:25 EET 2022 +62: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +41: START 2059276: Fri Nov 25 09:39:25 EET 2022 +25: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +46: START 2059276: Fri Nov 25 09:39:25 EET 2022 +16: START 2059276: Fri Nov 25 09:39:25 EET 2022 +10: START 2059276: Fri Nov 25 09:39:25 EET 2022 +62: START 2059276: Fri Nov 25 09:39:25 EET 2022 +25: START 2059276: Fri Nov 25 09:39:25 EET 2022 +11: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +26: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 + 3: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i + 3: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 3: START 2059276: Fri Nov 25 09:39:25 EET 2022 +24: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +24: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +24: START 2059276: Fri Nov 25 09:39:25 EET 2022 + 7: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i + 7: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 7: START 2059276: Fri Nov 25 09:39:25 EET 2022 +17: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +17: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +17: START 2059276: Fri Nov 25 09:39:25 EET 2022 + 4: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i + 4: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 4: START 2059276: Fri Nov 25 09:39:25 EET 2022 +43: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +43: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +43: START 2059276: Fri Nov 25 09:39:25 EET 2022 +21: Model parameters: d_model 4096 ffw_size 16384 kv_size 128 n_heads 32 n_layers 42 +53: +53: +53: ======================= ROCm System Management Interface ======================= +53: ================================= Concise Info ================================= +53: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +53: 0 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +53: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +53: 2 40.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +53: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +53: 4 42.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +53: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +53: 6 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +53: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +53: ================================================================================ +53: ============================= End of ROCm SMI Log ============================== +40: +40: +40: ======================= ROCm System Management Interface ======================= +40: ================================= Concise Info ================================= +40: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +40: 0 47.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +40: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +40: 2 38.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +40: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +40: 4 39.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +40: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +40: 6 37.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +40: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +40: ================================================================================ +40: ============================= End of ROCm SMI Log ============================== +44: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +44: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +23: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +23: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +44: START 2059276: Fri Nov 25 09:39:25 EET 2022 +23: START 2059276: Fri Nov 25 09:39:25 EET 2022 +20: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +20: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +63: +63: +63: ======================= ROCm System Management Interface ======================= +63: ================================= Concise Info ================================= +63: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +63: 0 48.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +63: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +63: 2 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +63: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +63: 4 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +63: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +63: 6 38.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +63: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +63: ================================================================================ +63: ============================= End of ROCm SMI Log ============================== +60: +60: +60: ======================= ROCm System Management Interface ======================= +60: ================================= Concise Info ================================= +60: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +60: 0 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +60: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +60: 2 40.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +60: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +60: 4 44.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +60: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +60: 6 38.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +60: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +60: ================================================================================ +60: ============================= End of ROCm SMI Log ============================== +20: START 2059276: Fri Nov 25 09:39:25 EET 2022 + 6: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i + 6: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +33: +33: +33: ======================= ROCm System Management Interface ======================= +33: ================================= Concise Info ================================= +33: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +33: 0 46.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +33: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +33: 2 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +33: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +33: 4 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +33: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +33: 6 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +33: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +33: ================================================================================ +33: ============================= End of ROCm SMI Log ============================== + 6: START 2059276: Fri Nov 25 09:39:25 EET 2022 +42: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +42: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +52: +52: +52: ======================= ROCm System Management Interface ======================= +52: ================================= Concise Info ================================= +52: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +52: 0 44.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +52: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +52: 2 40.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +52: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +52: 4 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +52: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +52: 6 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +52: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +52: ================================================================================ +52: ============================= 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 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +30: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +30: 2 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +30: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +30: 4 40.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +30: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +30: 6 38.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +30: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +30: ================================================================================ +30: ============================= End of ROCm SMI Log ============================== +42: START 2059276: Fri Nov 25 09:39:25 EET 2022 + 9: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i + 9: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 9: START 2059276: Fri Nov 25 09:39:25 EET 2022 +32: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +32: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +54: +54: +54: ======================= ROCm System Management Interface ======================= +54: ================================= Concise Info ================================= +54: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +54: 0 39.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +54: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +54: 2 38.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +54: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +54: 4 37.0c 99.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +54: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +54: 6 37.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +54: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +54: ================================================================================ +54: ============================= End of ROCm SMI Log ============================== +32: START 2059276: Fri Nov 25 09:39:25 EET 2022 +48: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +48: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.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 50.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +13: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +13: 2 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +13: 3 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +13: 4 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +13: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +13: 6 38.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +13: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +13: ================================================================================ +13: ============================= End of ROCm SMI Log ============================== +48: START 2059276: Fri Nov 25 09:39:25 EET 2022 +59: +59: +59: ======================= ROCm System Management Interface ======================= +59: ================================= Concise Info ================================= +59: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +59: 0 44.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +59: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +59: 2 43.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +59: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +59: 4 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +59: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +59: 6 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +59: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +59: ================================================================================ +59: ============================= End of ROCm SMI Log ============================== +50: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +50: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +50: START 2059276: Fri Nov 25 09:39:25 EET 2022 +29: +29: +29: ======================= ROCm System Management Interface ======================= +29: ================================= Concise Info ================================= +29: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +29: 0 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +29: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +29: 2 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +29: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +29: 4 46.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +29: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +29: 6 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +29: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +29: ================================================================================ +29: ============================= End of ROCm SMI Log ============================== +12: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +12: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +14: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +14: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +12: START 2059276: Fri Nov 25 09:39:25 EET 2022 +28: +28: +28: ======================= ROCm System Management Interface ======================= +28: ================================= Concise Info ================================= +28: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +28: 0 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +28: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +28: 2 42.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +28: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +28: 4 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +28: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +28: 6 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +28: 7 38.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +28: ================================================================================ +28: ============================= End of ROCm SMI Log ============================== +18: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +14: START 2059276: Fri Nov 25 09:39:25 EET 2022 +18: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +36: +36: +36: ======================= ROCm System Management Interface ======================= +36: ================================= Concise Info ================================= +36: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +36: 0 40.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +36: 1 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +36: 2 38.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +36: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +36: 4 40.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +36: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +36: 6 39.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +36: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +36: ================================================================================ +36: ============================= End of ROCm SMI Log ============================== +18: START 2059276: Fri Nov 25 09:39:25 EET 2022 +31: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +31: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +38: +38: +38: ======================= ROCm System Management Interface ======================= +38: ================================= Concise Info ================================= +38: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +38: 0 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +38: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +38: 2 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +38: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +38: 4 40.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +38: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +38: 6 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +38: 7 52.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +38: ================================================================================ +38: ============================= 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 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 0: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 0: 2 38.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 0: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 0: 4 45.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 0: 5 52.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 0: 6 43.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 0: 7 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 0: ================================================================================ + 0: ============================= End of ROCm SMI Log ============================== + 8: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +31: START 2059276: Fri Nov 25 09:39:25 EET 2022 + 8: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 8: START 2059276: Fri Nov 25 09:39:25 EET 2022 +19: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +19: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +19: START 2059276: Fri Nov 25 09:39:25 EET 2022 +22: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +22: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 + 2: + 2: + 2: ======================= ROCm System Management Interface ======================= + 2: ================================= Concise Info ================================= + 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% + 2: 0 44.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 2: 1 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 2: 2 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 2: 3 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 2: 4 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 2: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 2: 6 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 2: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 2: ================================================================================ + 2: ============================= End of ROCm SMI Log ============================== +22: START 2059276: Fri Nov 25 09:39:25 EET 2022 +15: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +15: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +55: +55: +55: ======================= ROCm System Management Interface ======================= +55: ================================= Concise Info ================================= +55: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +55: 0 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +55: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +55: 2 39.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +55: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +55: 4 45.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +55: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +55: 6 41.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +55: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +55: ================================================================================ +55: ============================= End of ROCm SMI Log ============================== +37: +37: +37: ======================= ROCm System Management Interface ======================= +37: ================================= Concise Info ================================= +37: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +37: 0 49.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +37: 1 52.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +37: 2 41.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +37: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +37: 4 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +37: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +37: 6 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +37: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +37: ================================================================================ +37: ============================= End of ROCm SMI Log ============================== +15: START 2059276: Fri Nov 25 09:39:25 EET 2022 +56: +56: +56: ======================= ROCm System Management Interface ======================= +56: ================================= Concise Info ================================= +56: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +56: 0 41.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +56: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +56: 2 46.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +56: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +56: 4 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +56: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +56: 6 43.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +56: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +56: ================================================================================ +56: ============================= End of ROCm SMI Log ============================== +26: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +26: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +26: START 2059276: Fri Nov 25 09:39:25 EET 2022 +11: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +35: +35: +35: ======================= ROCm System Management Interface ======================= +35: ================================= Concise Info ================================= +35: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +35: 0 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +35: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +35: 2 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +35: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +35: 4 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +35: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +35: 6 39.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +35: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +35: ================================================================================ +35: ============================= End of ROCm SMI Log ============================== +11: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +11: START 2059276: Fri Nov 25 09:39:25 EET 2022 +21: Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 2 --pipeline-model-parallel-size 2 --num-layers 42 --hidden-size 4096 --num-attention-heads 32 --kv-channels 128 --ffn-hidden-size 16384 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 1024 --train-samples 5_625_981 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-8b7 --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 5_625_981 --lr-warmup-samples 56_260 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_8b7 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_8b7 --load checkpoints_8b7 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-i +21: mpl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2059276.json --zero-stage 0 +21: START 2059276: Fri Nov 25 09:39:25 EET 2022 +49: +49: +49: ======================= ROCm System Management Interface ======================= +49: ================================= Concise Info ================================= +49: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +49: 0 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +49: 1 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +49: 2 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +49: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +49: 4 47.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +49: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +49: 6 42.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +49: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +49: ================================================================================ +49: ============================= End of ROCm SMI Log ============================== +34: +34: +34: ======================= ROCm System Management Interface ======================= +34: ================================= Concise Info ================================= +34: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +34: 0 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +34: 1 56.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +34: 2 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +34: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +34: 4 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +34: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +34: 6 37.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +34: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +34: ================================================================================ +34: ============================= End of ROCm SMI Log ============================== +46: +46: +46: ======================= ROCm System Management Interface ======================= +46: ================================= Concise Info ================================= +46: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +46: 0 43.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +46: 1 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +46: 2 41.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +46: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +46: 4 50.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +46: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +46: 6 45.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +46: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +46: ================================================================================ +46: ============================= 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 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 1: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 1: 2 41.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 1: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 1: 4 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 1: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 1: 6 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 1: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 1: ================================================================================ + 1: ============================= End of ROCm SMI Log ============================== +47: +47: +47: ======================= ROCm System Management Interface ======================= +47: ================================= Concise Info ================================= +47: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +47: 0 47.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +47: 1 52.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +47: 2 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +47: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +47: 4 39.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +47: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +47: 6 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +47: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +47: ================================================================================ +47: ============================= End of ROCm SMI Log ============================== +41: +41: +41: ======================= ROCm System Management Interface ======================= +41: ================================= Concise Info ================================= +41: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +41: 0 47.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +41: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +41: 2 44.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +41: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +41: 4 42.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +41: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +41: 6 39.0c 100.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +41: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +41: ================================================================================ +41: ============================= End of ROCm SMI Log ============================== +45: +45: +45: ======================= ROCm System Management Interface ======================= +45: ================================= Concise Info ================================= +45: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +45: 0 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +45: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +45: 2 41.0c 102.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +45: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +45: 4 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +45: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +45: 6 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +45: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +45: ================================================================================ +45: ============================= 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 44.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +16: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +16: 2 44.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +16: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +16: 4 41.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +16: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +16: 6 44.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +16: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +16: ================================================================================ +16: ============================= 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 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 5: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 5: 2 40.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 5: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 5: 4 47.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 5: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 5: 6 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 5: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 5: ================================================================================ + 5: ============================= End of ROCm SMI Log ============================== +61: +61: +61: ======================= ROCm System Management Interface ======================= +61: ================================= Concise Info ================================= +61: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +61: 0 44.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +61: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +61: 2 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +61: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +61: 4 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +61: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +61: 6 39.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +61: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +61: ================================================================================ +61: ============================= 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 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +10: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +10: 2 45.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +10: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +10: 4 39.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +10: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +10: 6 41.0c 91.0W 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 ============================== +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 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +27: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +27: 2 40.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +27: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +27: 4 48.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +27: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +27: 6 43.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +27: 7 46.0c 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 38.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +25: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +25: 2 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +25: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +25: 4 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +25: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +25: 6 39.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +25: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +25: ================================================================================ +25: ============================= End of ROCm SMI Log ============================== +51: +51: +51: ======================= ROCm System Management Interface ======================= +51: ================================= Concise Info ================================= +51: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +51: 0 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +51: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +51: 2 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +51: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +51: 4 47.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +51: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +51: 6 39.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +51: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +51: ================================================================================ +51: ============================= End of ROCm SMI Log ============================== +62: +62: +62: ======================= ROCm System Management Interface ======================= +62: ================================= Concise Info ================================= +62: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +62: 0 44.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +62: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +62: 2 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +62: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +62: 4 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +62: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +62: 6 44.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +62: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +62: ================================================================================ +62: ============================= 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 44.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 3: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 3: 2 37.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 3: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 3: 4 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 3: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 3: 6 42.0c 89.0W 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 ============================== +24: +24: +24: ======================= ROCm System Management Interface ======================= +24: ================================= Concise Info ================================= +24: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +24: 0 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +24: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +24: 2 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +24: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +24: 4 41.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +24: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +24: 6 40.0c 88.0W 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 ============================== + 7: + 7: + 7: ======================= ROCm System Management Interface ======================= + 7: ================================= Concise Info ================================= + 7: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% + 7: 0 50.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 7: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 7: 2 39.0c 99.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 7: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 7: 4 44.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 7: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 7: 6 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 7: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 7: ================================================================================ + 7: ============================= End of ROCm SMI Log ============================== +17: +17: +17: ======================= ROCm System Management Interface ======================= +17: ================================= Concise Info ================================= +17: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +17: 0 41.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +17: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +17: 2 40.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +17: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +17: 4 42.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +17: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +17: 6 40.0c 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 ============================== + 4: + 4: + 4: ======================= ROCm System Management Interface ======================= + 4: ================================= Concise Info ================================= + 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% + 4: 0 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 4: 1 53.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 4: 2 36.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 4: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 4: 4 42.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 4: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 4: 6 37.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 4: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 4: ================================================================================ + 4: ============================= End of ROCm SMI Log ============================== +43: +43: +43: ======================= ROCm System Management Interface ======================= +43: ================================= Concise Info ================================= +43: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +43: 0 47.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +43: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +43: 2 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +43: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +43: 4 41.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +43: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +43: 6 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +43: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +43: ================================================================================ +43: ============================= 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 49.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +23: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +23: 2 41.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +23: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +23: 4 43.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +23: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +23: 6 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +23: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +23: ================================================================================ +23: ============================= End of ROCm SMI Log ============================== +44: +44: +44: ======================= ROCm System Management Interface ======================= +44: ================================= Concise Info ================================= +44: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +44: 0 48.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +44: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +44: 2 40.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +44: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +44: 4 40.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +44: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +44: 6 39.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +44: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +44: ================================================================================ +44: ============================= 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 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +20: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +20: 2 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +20: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +20: 4 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +20: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +20: 6 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +20: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +20: ================================================================================ +20: ============================= 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 46.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 6: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 6: 2 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 6: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 6: 4 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 6: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 6: 6 41.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 6: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 6: ================================================================================ + 6: ============================= End of ROCm SMI Log ============================== +42: +42: +42: ======================= ROCm System Management Interface ======================= +42: ================================= Concise Info ================================= +42: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +42: 0 44.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +42: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +42: 2 42.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +42: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +42: 4 45.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +42: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +42: 6 39.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +42: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +42: ================================================================================ +42: ============================= 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 44.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 9: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 9: 2 44.0c 99.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 9: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 9: 4 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 9: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 9: 6 42.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 9: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 9: ================================================================================ + 9: ============================= End of ROCm SMI Log ============================== +32: +32: +32: ======================= ROCm System Management Interface ======================= +32: ================================= Concise Info ================================= +32: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +32: 0 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +32: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +32: 2 46.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +32: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +32: 4 42.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +32: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +32: 6 39.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +32: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +32: ================================================================================ +32: ============================= End of ROCm SMI Log ============================== +48: +48: +48: ======================= ROCm System Management Interface ======================= +48: ================================= Concise Info ================================= +48: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +48: 0 42.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +48: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +48: 2 41.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +48: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +48: 4 43.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +48: 5 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +48: 6 44.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +48: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +48: ================================================================================ +48: ============================= End of ROCm SMI Log ============================== +50: +50: +50: ======================= ROCm System Management Interface ======================= +50: ================================= Concise Info ================================= +50: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +50: 0 39.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +50: 1 53.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +50: 2 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +50: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +50: 4 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +50: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +50: 6 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +50: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +50: ================================================================================ +50: ============================= 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 45.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +12: 1 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +12: 2 42.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +12: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +12: 4 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +12: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +12: 6 41.0c 90.0W 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 ============================== +18: +18: +18: ======================= ROCm System Management Interface ======================= +18: ================================= Concise Info ================================= +18: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +18: 0 49.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +18: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +18: 2 42.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +18: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +18: 4 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +18: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +18: 6 37.0c 90.0W 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 ============================== +14: +14: +14: ======================= ROCm System Management Interface ======================= +14: ================================= Concise Info ================================= +14: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +14: 0 45.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +14: 1 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +14: 2 38.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +14: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +14: 4 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +14: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +14: 6 37.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +14: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +14: ================================================================================ +14: ============================= 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 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +31: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +31: 2 41.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +31: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +31: 4 45.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +31: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +31: 6 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +31: 7 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +31: ================================================================================ +31: ============================= 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 45.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 8: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 8: 2 44.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 8: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 8: 4 46.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% + 8: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% + 8: 6 42.0c 90.0W 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 ============================== +19: +19: +19: ======================= ROCm System Management Interface ======================= +19: ================================= Concise Info ================================= +19: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% +19: 0 48.0c 101.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +19: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +19: 2 43.0c 101.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +19: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +19: 4 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +19: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +19: 6 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +19: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +19: ================================================================================ +19: ============================= 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 46.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +15: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +15: 2 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +15: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +15: 4 43.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +15: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +15: 6 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +15: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +15: ================================================================================ +15: ============================= 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 37.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +22: 1 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +22: 2 40.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +22: 3 53.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +22: 4 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +22: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +22: 6 45.0c 99.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +22: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +22: ================================================================================ +22: ============================= 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 44.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +11: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +11: 2 40.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +11: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +11: 4 45.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +11: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +11: 6 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +11: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +11: ================================================================================ +11: ============================= 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 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +26: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +26: 2 41.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +26: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +26: 4 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +26: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +26: 6 40.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +26: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +26: ================================================================================ +26: ============================= 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 43.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +21: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +21: 2 40.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +21: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +21: 4 40.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% +21: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% +21: 6 43.0c 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 ============================== +58: Launching on nid005802 (58/64), master nid005658 port 9999, GPUs 8, CUDA: True +57: Launching on nid005801 (57/64), master nid005658 port 9999, GPUs 8, CUDA: True +40: Launching on nid005698 (40/64), master nid005658 port 9999, GPUs 8, CUDA: True +52: Launching on nid005796 (52/64), master nid005658 port 9999, GPUs 8, CUDA: True +56: Launching on nid005800 (56/64), master nid005658 port 9999, GPUs 8, CUDA: True +41: Launching on nid005699 (41/64), master nid005658 port 9999, GPUs 8, CUDA: True +33: Launching on nid005691 (33/64), master nid005658 port 9999, GPUs 8, CUDA: True +63: Launching on nid005807 (63/64), master nid005658 port 9999, GPUs 8, CUDA: True +38: Launching on nid005696 (38/64), master nid005658 port 9999, GPUs 8, CUDA: True +30: Launching on nid005688 (30/64), master nid005658 port 9999, GPUs 8, CUDA: True +53: Launching on nid005797 (53/64), master nid005658 port 9999, GPUs 8, CUDA: True +34: Launching on nid005692 (34/64), master nid005658 port 9999, GPUs 8, CUDA: True + 0: Launching on nid005658 (0/64), master nid005658 port 9999, GPUs 8, CUDA: True +29: Launching on nid005687 (29/64), master nid005658 port 9999, GPUs 8, CUDA: True + 2: Launching on nid005660 (2/64), master nid005658 port 9999, GPUs 8, CUDA: True +35: Launching on nid005693 (35/64), master nid005658 port 9999, GPUs 8, CUDA: True +49: Launching on nid005793 (49/64), master nid005658 port 9999, GPUs 8, CUDA: True +37: Launching on nid005695 (37/64), master nid005658 port 9999, GPUs 8, CUDA: True +27: Launching on nid005685 (27/64), master nid005658 port 9999, GPUs 8, CUDA: True +10: Launching on nid005668 (10/64), master nid005658 port 9999, GPUs 8, CUDA: True + 7: Launching on nid005665 (7/64), master nid005658 port 9999, GPUs 8, CUDA: True + 4: Launching on nid005662 (4/64), master nid005658 port 9999, GPUs 8, CUDA: True +54: Launching on nid005798 (54/64), master nid005658 port 9999, GPUs 8, CUDA: True +44: Launching on nid005702 (44/64), master nid005658 port 9999, GPUs 8, CUDA: True +32: Launching on nid005690 (32/64), master nid005658 port 9999, GPUs 8, CUDA: True +18: Launching on nid005676 (18/64), master nid005658 port 9999, GPUs 8, CUDA: True +55: Launching on nid005799 (55/64), master nid005658 port 9999, GPUs 8, CUDA: True +61: Launching on nid005805 (61/64), master nid005658 port 9999, GPUs 8, CUDA: True + 1: Launching on nid005659 (1/64), master nid005658 port 9999, GPUs 8, CUDA: True +28: Launching on nid005686 (28/64), master nid005658 port 9999, GPUs 8, CUDA: True +59: Launching on nid005803 (59/64), master nid005658 port 9999, GPUs 8, CUDA: True +39: Launching on nid005697 (39/64), master nid005658 port 9999, GPUs 8, CUDA: True + 6: Launching on nid005664 (6/64), master nid005658 port 9999, GPUs 8, CUDA: True +24: Launching on nid005682 (24/64), master nid005658 port 9999, GPUs 8, CUDA: True + 5: Launching on nid005663 (5/64), master nid005658 port 9999, GPUs 8, CUDA: True +21: Launching on nid005679 (21/64), master nid005658 port 9999, GPUs 8, CUDA: True + 3: Launching on nid005661 (3/64), master nid005658 port 9999, GPUs 8, CUDA: True +50: Launching on nid005794 (50/64), master nid005658 port 9999, GPUs 8, CUDA: True +17: Launching on nid005675 (17/64), master nid005658 port 9999, GPUs 8, CUDA: True +23: Launching on nid005681 (23/64), master nid005658 port 9999, GPUs 8, CUDA: True +48: Launching on nid005792 (48/64), master nid005658 port 9999, GPUs 8, CUDA: True +25: Launching on nid005683 (25/64), master nid005658 port 9999, GPUs 8, CUDA: True +51: Launching on nid005795 (51/64), master nid005658 port 9999, GPUs 8, CUDA: True +13: Launching on nid005671 (13/64), master nid005658 port 9999, GPUs 8, CUDA: True + 8: Launching on nid005666 (8/64), master nid005658 port 9999, GPUs 8, CUDA: True +42: Launching on nid005700 (42/64), master nid005658 port 9999, GPUs 8, CUDA: True +45: Launching on nid005703 (45/64), master nid005658 port 9999, GPUs 8, CUDA: True +15: Launching on nid005673 (15/64), master nid005658 port 9999, GPUs 8, CUDA: True +11: Launching on nid005669 (11/64), master nid005658 port 9999, GPUs 8, CUDA: True +43: Launching on nid005701 (43/64), master nid005658 port 9999, GPUs 8, CUDA: True +36: Launching on nid005694 (36/64), master nid005658 port 9999, GPUs 8, CUDA: True +19: Launching on nid005677 (19/64), master nid005658 port 9999, GPUs 8, CUDA: True +60: Launching on nid005804 (60/64), master nid005658 port 9999, GPUs 8, CUDA: True +20: Launching on nid005678 (20/64), master nid005658 port 9999, GPUs 8, CUDA: True +26: Launching on nid005684 (26/64), master nid005658 port 9999, GPUs 8, CUDA: True +16: Launching on nid005674 (16/64), master nid005658 port 9999, GPUs 8, CUDA: True +62: Launching on nid005806 (62/64), master nid005658 port 9999, GPUs 8, CUDA: True +31: Launching on nid005689 (31/64), master nid005658 port 9999, GPUs 8, CUDA: True +14: Launching on nid005672 (14/64), master nid005658 port 9999, GPUs 8, CUDA: True + 9: Launching on nid005667 (9/64), master nid005658 port 9999, GPUs 8, CUDA: True +22: Launching on nid005680 (22/64), master nid005658 port 9999, GPUs 8, CUDA: True +12: Launching on nid005670 (12/64), master nid005658 port 9999, GPUs 8, CUDA: True +46: Launching on nid005790 (46/64), master nid005658 port 9999, GPUs 8, CUDA: True +47: Launching on nid005791 (47/64), master nid005658 port 9999, GPUs 8, CUDA: True + 0: using world size: 512, data-parallel-size: 128, tensor-model-parallel size: 2, pipeline-model-parallel size: 2 + 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 .............................. 128 + 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/2059276.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 ................................. 16384 + 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 ............................... 1024 + 0: glu_activation .................................. None + 0: hidden_dropout .................................. 0.1 + 0: hidden_size ..................................... 4096 + 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-8b7 + 0: kv_channels ..................................... 128 + 0: layer_norm_fusion ............................... True + 0: layernorm_epsilon ............................... 1e-05 + 0: lazy_mpu_init ................................... None + 0: load ............................................ checkpoints_8b7 + 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 ................................ 5625981 + 0: lr_decay_style .................................. cosine + 0: lr_decay_tokens ................................. None + 0: lr_warmup_fraction .............................. None + 0: lr_warmup_iters ................................. 0 + 0: lr_warmup_samples ............................... 56260 + 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 ............................. 32 + 0: num_channels .................................... 3 + 0: num_classes ..................................... 1000 + 0: num_layers ...................................... 42 + 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 .................... 2 + 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_8b7 + 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 ...................... 2 + 0: tensorboard_dir ................................. tensorboard_8b7 + 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 ................................... 5625981 + 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 ...................................... 512 + 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 4 + 0: > building GPT2BPETokenizer tokenizer ... + 0: > padded vocab (size: 50257) with 175 dummy tokens (new size: 50432) + 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 09:39:34,646] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl +63: > setting tensorboard ... + 0: > initializing tensor model parallel with size 2 + 0: > initializing pipeline model parallel with size 2 + 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: 0.063 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: [1/1] c++ scaled_upper_triang_masked_softmax_hip.o scaled_upper_triang_masked_softmax_hip.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_upper_triang_masked_softmax_cuda.so + 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: [1/1] c++ layer_norm_hip_kernel.cuda.o layer_norm_cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o fused_mix_prec_layer_norm_cuda.so + 0: >>> done with compiling and loading fused kernels. Compilation time: 29.863 seconds + 0: time to initialize megatron (seconds): 100.581 + 0: [after megatron is initialized] datetime: 2022-11-25 09:40:20 + 0: building GPT model ... + 0: [2022-11-25 09:40:20,645] [INFO] [utils.py:827:see_memory_usage] Before Building Model + 0: [2022-11-25 09:40:20,645] [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 09:40:20,646] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 43.83 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=0, model=1): 1, ProcessCoord(pipe=0, data=1, model=0): 2, ProcessCoord(pipe=0, data=1, model=1): 3, ProcessCoord(pipe=0, data=2, model=0): 4, ProcessCoord(pipe=0, data=2, model=1): 5, ProcessCoord(pipe=0, data=3, model=0): 6, ProcessCoord(pipe=0, data=3, model=1): 7, ProcessCoord(pipe=0, data=4, model=0): 8, ProcessCoord(pipe=0, data=4, model=1): 9, ProcessCoord(pipe=0, data=5, model=0): 10, ProcessCoord(pipe=0, data=5, model=1): 11, ProcessCoord(pipe=0, data=6, model=0): 12, ProcessCoord(pipe=0, data=6, model=1): 13, ProcessCoord(pipe=0, data=7, model=0): 14, ProcessCoord(pipe=0, data=7, model=1): 15, ProcessCoord(pipe=0, data=8, model=0): 16, ProcessCoord(pipe=0, data=8, model=1): 17, ProcessCoord(pipe=0, data=9, model=0): 18, ProcessCoord(pipe=0, data=9, model=1): 19, ProcessCoord(pipe=0, data=10, model=0): 20, ProcessCoord(pipe=0, data=10, model=1): 21, ProcessCoord(pipe=0, data=11, model=0): 22, ProcessCoord(pipe=0, data + 0: =11, model=1): 23, ProcessCoord(pipe=0, data=12, model=0): 24, ProcessCoord(pipe=0, data=12, model=1): 25, ProcessCoord(pipe=0, data=13, model=0): 26, ProcessCoord(pipe=0, data=13, model=1): 27, ProcessCoord(pipe=0, data=14, model=0): 28, ProcessCoord(pipe=0, data=14, model=1): 29, ProcessCoord(pipe=0, data=15, model=0): 30, ProcessCoord(pipe=0, data=15, model=1): 31, ProcessCoord(pipe=0, data=16, model=0): 32, ProcessCoord(pipe=0, data=16, model=1): 33, ProcessCoord(pipe=0, data=17, model=0): 34, ProcessCoord(pipe=0, data=17, model=1): 35, ProcessCoord(pipe=0, data=18, model=0): 36, ProcessCoord(pipe=0, data=18, model=1): 37, ProcessCoord(pipe=0, data=19, model=0): 38, ProcessCoord(pipe=0, data=19, model=1): 39, ProcessCoord(pipe=0, data=20, model=0): 40, ProcessCoord(pipe=0, data=20, model=1): 41, ProcessCoord(pipe=0, data=21, model=0): 42, ProcessCoord(pipe=0, data=21, model=1): 43, ProcessCoord(pipe=0, data=22, model=0): 44, ProcessCoord(pipe=0, data=22, model=1): 45, ProcessCoord(pipe=0, data=23, model=0 + 0: ): 46, ProcessCoord(pipe=0, data=23, model=1): 47, ProcessCoord(pipe=0, data=24, model=0): 48, ProcessCoord(pipe=0, data=24, model=1): 49, ProcessCoord(pipe=0, data=25, model=0): 50, ProcessCoord(pipe=0, data=25, model=1): 51, ProcessCoord(pipe=0, data=26, model=0): 52, ProcessCoord(pipe=0, data=26, model=1): 53, ProcessCoord(pipe=0, data=27, model=0): 54, ProcessCoord(pipe=0, data=27, model=1): 55, ProcessCoord(pipe=0, data=28, model=0): 56, ProcessCoord(pipe=0, data=28, model=1): 57, ProcessCoord(pipe=0, data=29, model=0): 58, ProcessCoord(pipe=0, data=29, model=1): 59, ProcessCoord(pipe=0, data=30, model=0): 60, ProcessCoord(pipe=0, data=30, model=1): 61, ProcessCoord(pipe=0, data=31, model=0): 62, ProcessCoord(pipe=0, data=31, model=1): 63, ProcessCoord(pipe=0, data=32, model=0): 64, ProcessCoord(pipe=0, data=32, model=1): 65, ProcessCoord(pipe=0, data=33, model=0): 66, ProcessCoord(pipe=0, data=33, model=1): 67, ProcessCoord(pipe=0, data=34, model=0): 68, ProcessCoord(pipe=0, data=34, model=1): 69, Proce + 0: ssCoord(pipe=0, data=35, model=0): 70, ProcessCoord(pipe=0, data=35, model=1): 71, ProcessCoord(pipe=0, data=36, model=0): 72, ProcessCoord(pipe=0, data=36, model=1): 73, ProcessCoord(pipe=0, data=37, model=0): 74, ProcessCoord(pipe=0, data=37, model=1): 75, ProcessCoord(pipe=0, data=38, model=0): 76, ProcessCoord(pipe=0, data=38, model=1): 77, ProcessCoord(pipe=0, data=39, model=0): 78, ProcessCoord(pipe=0, data=39, model=1): 79, ProcessCoord(pipe=0, data=40, model=0): 80, ProcessCoord(pipe=0, data=40, model=1): 81, ProcessCoord(pipe=0, data=41, model=0): 82, ProcessCoord(pipe=0, data=41, model=1): 83, ProcessCoord(pipe=0, data=42, model=0): 84, ProcessCoord(pipe=0, data=42, model=1): 85, ProcessCoord(pipe=0, data=43, model=0): 86, ProcessCoord(pipe=0, data=43, model=1): 87, ProcessCoord(pipe=0, data=44, model=0): 88, ProcessCoord(pipe=0, data=44, model=1): 89, ProcessCoord(pipe=0, data=45, model=0): 90, ProcessCoord(pipe=0, data=45, model=1): 91, ProcessCoord(pipe=0, data=46, model=0): 92, ProcessCoord(pipe + 0: =0, data=46, model=1): 93, ProcessCoord(pipe=0, data=47, model=0): 94, ProcessCoord(pipe=0, data=47, model=1): 95, ProcessCoord(pipe=0, data=48, model=0): 96, ProcessCoord(pipe=0, data=48, model=1): 97, ProcessCoord(pipe=0, data=49, model=0): 98, ProcessCoord(pipe=0, data=49, model=1): 99, ProcessCoord(pipe=0, data=50, model=0): 100, ProcessCoord(pipe=0, data=50, model=1): 101, ProcessCoord(pipe=0, data=51, model=0): 102, ProcessCoord(pipe=0, data=51, model=1): 103, ProcessCoord(pipe=0, data=52, model=0): 104, ProcessCoord(pipe=0, data=52, model=1): 105, ProcessCoord(pipe=0, data=53, model=0): 106, ProcessCoord(pipe=0, data=53, model=1): 107, ProcessCoord(pipe=0, data=54, model=0): 108, ProcessCoord(pipe=0, data=54, model=1): 109, ProcessCoord(pipe=0, data=55, model=0): 110, ProcessCoord(pipe=0, data=55, model=1): 111, ProcessCoord(pipe=0, data=56, model=0): 112, ProcessCoord(pipe=0, data=56, model=1): 113, ProcessCoord(pipe=0, data=57, model=0): 114, ProcessCoord(pipe=0, data=57, model=1): 115, ProcessCoord( + 0: pipe=0, data=58, model=0): 116, ProcessCoord(pipe=0, data=58, model=1): 117, ProcessCoord(pipe=0, data=59, model=0): 118, ProcessCoord(pipe=0, data=59, model=1): 119, ProcessCoord(pipe=0, data=60, model=0): 120, ProcessCoord(pipe=0, data=60, model=1): 121, ProcessCoord(pipe=0, data=61, model=0): 122, ProcessCoord(pipe=0, data=61, model=1): 123, ProcessCoord(pipe=0, data=62, model=0): 124, ProcessCoord(pipe=0, data=62, model=1): 125, ProcessCoord(pipe=0, data=63, model=0): 126, ProcessCoord(pipe=0, data=63, model=1): 127, ProcessCoord(pipe=0, data=64, model=0): 128, ProcessCoord(pipe=0, data=64, model=1): 129, ProcessCoord(pipe=0, data=65, model=0): 130, ProcessCoord(pipe=0, data=65, model=1): 131, ProcessCoord(pipe=0, data=66, model=0): 132, ProcessCoord(pipe=0, data=66, model=1): 133, ProcessCoord(pipe=0, data=67, model=0): 134, ProcessCoord(pipe=0, data=67, model=1): 135, ProcessCoord(pipe=0, data=68, model=0): 136, ProcessCoord(pipe=0, data=68, model=1): 137, ProcessCoord(pipe=0, data=69, model=0): 138, Pr + 0: ocessCoord(pipe=0, data=69, model=1): 139, ProcessCoord(pipe=0, data=70, model=0): 140, ProcessCoord(pipe=0, data=70, model=1): 141, ProcessCoord(pipe=0, data=71, model=0): 142, ProcessCoord(pipe=0, data=71, model=1): 143, ProcessCoord(pipe=0, data=72, model=0): 144, ProcessCoord(pipe=0, data=72, model=1): 145, ProcessCoord(pipe=0, data=73, model=0): 146, ProcessCoord(pipe=0, data=73, model=1): 147, ProcessCoord(pipe=0, data=74, model=0): 148, ProcessCoord(pipe=0, data=74, model=1): 149, ProcessCoord(pipe=0, data=75, model=0): 150, ProcessCoord(pipe=0, data=75, model=1): 151, ProcessCoord(pipe=0, data=76, model=0): 152, ProcessCoord(pipe=0, data=76, model=1): 153, ProcessCoord(pipe=0, data=77, model=0): 154, ProcessCoord(pipe=0, data=77, model=1): 155, ProcessCoord(pipe=0, data=78, model=0): 156, ProcessCoord(pipe=0, data=78, model=1): 157, ProcessCoord(pipe=0, data=79, model=0): 158, ProcessCoord(pipe=0, data=79, model=1): 159, ProcessCoord(pipe=0, data=80, model=0): 160, ProcessCoord(pipe=0, data=80, model= + 0: 1): 161, ProcessCoord(pipe=0, data=81, model=0): 162, ProcessCoord(pipe=0, data=81, model=1): 163, ProcessCoord(pipe=0, data=82, model=0): 164, ProcessCoord(pipe=0, data=82, model=1): 165, ProcessCoord(pipe=0, data=83, model=0): 166, ProcessCoord(pipe=0, data=83, model=1): 167, ProcessCoord(pipe=0, data=84, model=0): 168, ProcessCoord(pipe=0, data=84, model=1): 169, ProcessCoord(pipe=0, data=85, model=0): 170, ProcessCoord(pipe=0, data=85, model=1): 171, ProcessCoord(pipe=0, data=86, model=0): 172, ProcessCoord(pipe=0, data=86, model=1): 173, ProcessCoord(pipe=0, data=87, model=0): 174, ProcessCoord(pipe=0, data=87, model=1): 175, ProcessCoord(pipe=0, data=88, model=0): 176, ProcessCoord(pipe=0, data=88, model=1): 177, ProcessCoord(pipe=0, data=89, model=0): 178, ProcessCoord(pipe=0, data=89, model=1): 179, ProcessCoord(pipe=0, data=90, model=0): 180, ProcessCoord(pipe=0, data=90, model=1): 181, ProcessCoord(pipe=0, data=91, model=0): 182, ProcessCoord(pipe=0, data=91, model=1): 183, ProcessCoord(pipe=0, data + 0: =92, model=0): 184, ProcessCoord(pipe=0, data=92, model=1): 185, ProcessCoord(pipe=0, data=93, model=0): 186, ProcessCoord(pipe=0, data=93, model=1): 187, ProcessCoord(pipe=0, data=94, model=0): 188, ProcessCoord(pipe=0, data=94, model=1): 189, ProcessCoord(pipe=0, data=95, model=0): 190, ProcessCoord(pipe=0, data=95, model=1): 191, ProcessCoord(pipe=0, data=96, model=0): 192, ProcessCoord(pipe=0, data=96, model=1): 193, ProcessCoord(pipe=0, data=97, model=0): 194, ProcessCoord(pipe=0, data=97, model=1): 195, ProcessCoord(pipe=0, data=98, model=0): 196, ProcessCoord(pipe=0, data=98, model=1): 197, ProcessCoord(pipe=0, data=99, model=0): 198, ProcessCoord(pipe=0, data=99, model=1): 199, ProcessCoord(pipe=0, data=100, model=0): 200, ProcessCoord(pipe=0, data=100, model=1): 201, ProcessCoord(pipe=0, data=101, model=0): 202, ProcessCoord(pipe=0, data=101, model=1): 203, ProcessCoord(pipe=0, data=102, model=0): 204, ProcessCoord(pipe=0, data=102, model=1): 205, ProcessCoord(pipe=0, data=103, model=0): 206, Process + 0: Coord(pipe=0, data=103, model=1): 207, ProcessCoord(pipe=0, data=104, model=0): 208, ProcessCoord(pipe=0, data=104, model=1): 209, ProcessCoord(pipe=0, data=105, model=0): 210, ProcessCoord(pipe=0, data=105, model=1): 211, ProcessCoord(pipe=0, data=106, model=0): 212, ProcessCoord(pipe=0, data=106, model=1): 213, ProcessCoord(pipe=0, data=107, model=0): 214, ProcessCoord(pipe=0, data=107, model=1): 215, ProcessCoord(pipe=0, data=108, model=0): 216, ProcessCoord(pipe=0, data=108, model=1): 217, ProcessCoord(pipe=0, data=109, model=0): 218, ProcessCoord(pipe=0, data=109, model=1): 219, ProcessCoord(pipe=0, data=110, model=0): 220, ProcessCoord(pipe=0, data=110, model=1): 221, ProcessCoord(pipe=0, data=111, model=0): 222, ProcessCoord(pipe=0, data=111, model=1): 223, ProcessCoord(pipe=0, data=112, model=0): 224, ProcessCoord(pipe=0, data=112, model=1): 225, ProcessCoord(pipe=0, data=113, model=0): 226, ProcessCoord(pipe=0, data=113, model=1): 227, ProcessCoord(pipe=0, data=114, model=0): 228, ProcessCoord(pipe=0 + 0: , data=114, model=1): 229, ProcessCoord(pipe=0, data=115, model=0): 230, ProcessCoord(pipe=0, data=115, model=1): 231, ProcessCoord(pipe=0, data=116, model=0): 232, ProcessCoord(pipe=0, data=116, model=1): 233, ProcessCoord(pipe=0, data=117, model=0): 234, ProcessCoord(pipe=0, data=117, model=1): 235, ProcessCoord(pipe=0, data=118, model=0): 236, ProcessCoord(pipe=0, data=118, model=1): 237, ProcessCoord(pipe=0, data=119, model=0): 238, ProcessCoord(pipe=0, data=119, model=1): 239, ProcessCoord(pipe=0, data=120, model=0): 240, ProcessCoord(pipe=0, data=120, model=1): 241, ProcessCoord(pipe=0, data=121, model=0): 242, ProcessCoord(pipe=0, data=121, model=1): 243, ProcessCoord(pipe=0, data=122, model=0): 244, ProcessCoord(pipe=0, data=122, model=1): 245, ProcessCoord(pipe=0, data=123, model=0): 246, ProcessCoord(pipe=0, data=123, model=1): 247, ProcessCoord(pipe=0, data=124, model=0): 248, ProcessCoord(pipe=0, data=124, model=1): 249, ProcessCoord(pipe=0, data=125, model=0): 250, ProcessCoord(pipe=0, data=125, + 0: model=1): 251, ProcessCoord(pipe=0, data=126, model=0): 252, ProcessCoord(pipe=0, data=126, model=1): 253, ProcessCoord(pipe=0, data=127, model=0): 254, ProcessCoord(pipe=0, data=127, model=1): 255, ProcessCoord(pipe=1, data=0, model=0): 256, ProcessCoord(pipe=1, data=0, model=1): 257, ProcessCoord(pipe=1, data=1, model=0): 258, ProcessCoord(pipe=1, data=1, model=1): 259, ProcessCoord(pipe=1, data=2, model=0): 260, ProcessCoord(pipe=1, data=2, model=1): 261, ProcessCoord(pipe=1, data=3, model=0): 262, ProcessCoord(pipe=1, data=3, model=1): 263, ProcessCoord(pipe=1, data=4, model=0): 264, ProcessCoord(pipe=1, data=4, model=1): 265, ProcessCoord(pipe=1, data=5, model=0): 266, ProcessCoord(pipe=1, data=5, model=1): 267, ProcessCoord(pipe=1, data=6, model=0): 268, ProcessCoord(pipe=1, data=6, model=1): 269, ProcessCoord(pipe=1, data=7, model=0): 270, ProcessCoord(pipe=1, data=7, model=1): 271, ProcessCoord(pipe=1, data=8, model=0): 272, ProcessCoord(pipe=1, data=8, model=1): 273, ProcessCoord(pipe=1, data=9, mode + 0: l=0): 274, ProcessCoord(pipe=1, data=9, model=1): 275, ProcessCoord(pipe=1, data=10, model=0): 276, ProcessCoord(pipe=1, data=10, model=1): 277, ProcessCoord(pipe=1, data=11, model=0): 278, ProcessCoord(pipe=1, data=11, model=1): 279, ProcessCoord(pipe=1, data=12, model=0): 280, ProcessCoord(pipe=1, data=12, model=1): 281, ProcessCoord(pipe=1, data=13, model=0): 282, ProcessCoord(pipe=1, data=13, model=1): 283, ProcessCoord(pipe=1, data=14, model=0): 284, ProcessCoord(pipe=1, data=14, model=1): 285, ProcessCoord(pipe=1, data=15, model=0): 286, ProcessCoord(pipe=1, data=15, model=1): 287, ProcessCoord(pipe=1, data=16, model=0): 288, ProcessCoord(pipe=1, data=16, model=1): 289, ProcessCoord(pipe=1, data=17, model=0): 290, ProcessCoord(pipe=1, data=17, model=1): 291, ProcessCoord(pipe=1, data=18, model=0): 292, ProcessCoord(pipe=1, data=18, model=1): 293, ProcessCoord(pipe=1, data=19, model=0): 294, ProcessCoord(pipe=1, data=19, model=1): 295, ProcessCoord(pipe=1, data=20, model=0): 296, ProcessCoord(pipe=1, dat + 0: a=20, model=1): 297, ProcessCoord(pipe=1, data=21, model=0): 298, ProcessCoord(pipe=1, data=21, model=1): 299, ProcessCoord(pipe=1, data=22, model=0): 300, ProcessCoord(pipe=1, data=22, model=1): 301, ProcessCoord(pipe=1, data=23, model=0): 302, ProcessCoord(pipe=1, data=23, model=1): 303, ProcessCoord(pipe=1, data=24, model=0): 304, ProcessCoord(pipe=1, data=24, model=1): 305, ProcessCoord(pipe=1, data=25, model=0): 306, ProcessCoord(pipe=1, data=25, model=1): 307, ProcessCoord(pipe=1, data=26, model=0): 308, ProcessCoord(pipe=1, data=26, model=1): 309, ProcessCoord(pipe=1, data=27, model=0): 310, ProcessCoord(pipe=1, data=27, model=1): 311, ProcessCoord(pipe=1, data=28, model=0): 312, ProcessCoord(pipe=1, data=28, model=1): 313, ProcessCoord(pipe=1, data=29, model=0): 314, ProcessCoord(pipe=1, data=29, model=1): 315, ProcessCoord(pipe=1, data=30, model=0): 316, ProcessCoord(pipe=1, data=30, model=1): 317, ProcessCoord(pipe=1, data=31, model=0): 318, ProcessCoord(pipe=1, data=31, model=1): 319, ProcessCoord( + 0: pipe=1, data=32, model=0): 320, ProcessCoord(pipe=1, data=32, model=1): 321, ProcessCoord(pipe=1, data=33, model=0): 322, ProcessCoord(pipe=1, data=33, model=1): 323, ProcessCoord(pipe=1, data=34, model=0): 324, ProcessCoord(pipe=1, data=34, model=1): 325, ProcessCoord(pipe=1, data=35, model=0): 326, ProcessCoord(pipe=1, data=35, model=1): 327, ProcessCoord(pipe=1, data=36, model=0): 328, ProcessCoord(pipe=1, data=36, model=1): 329, ProcessCoord(pipe=1, data=37, model=0): 330, ProcessCoord(pipe=1, data=37, model=1): 331, ProcessCoord(pipe=1, data=38, model=0): 332, ProcessCoord(pipe=1, data=38, model=1): 333, ProcessCoord(pipe=1, data=39, model=0): 334, ProcessCoord(pipe=1, data=39, model=1): 335, ProcessCoord(pipe=1, data=40, model=0): 336, ProcessCoord(pipe=1, data=40, model=1): 337, ProcessCoord(pipe=1, data=41, model=0): 338, ProcessCoord(pipe=1, data=41, model=1): 339, ProcessCoord(pipe=1, data=42, model=0): 340, ProcessCoord(pipe=1, data=42, model=1): 341, ProcessCoord(pipe=1, data=43, model=0): 342, Pr + 0: ocessCoord(pipe=1, data=43, model=1): 343, ProcessCoord(pipe=1, data=44, model=0): 344, ProcessCoord(pipe=1, data=44, model=1): 345, ProcessCoord(pipe=1, data=45, model=0): 346, ProcessCoord(pipe=1, data=45, model=1): 347, ProcessCoord(pipe=1, data=46, model=0): 348, ProcessCoord(pipe=1, data=46, model=1): 349, ProcessCoord(pipe=1, data=47, model=0): 350, ProcessCoord(pipe=1, data=47, model=1): 351, ProcessCoord(pipe=1, data=48, model=0): 352, ProcessCoord(pipe=1, data=48, model=1): 353, ProcessCoord(pipe=1, data=49, model=0): 354, ProcessCoord(pipe=1, data=49, model=1): 355, ProcessCoord(pipe=1, data=50, model=0): 356, ProcessCoord(pipe=1, data=50, model=1): 357, ProcessCoord(pipe=1, data=51, model=0): 358, ProcessCoord(pipe=1, data=51, model=1): 359, ProcessCoord(pipe=1, data=52, model=0): 360, ProcessCoord(pipe=1, data=52, model=1): 361, ProcessCoord(pipe=1, data=53, model=0): 362, ProcessCoord(pipe=1, data=53, model=1): 363, ProcessCoord(pipe=1, data=54, model=0): 364, ProcessCoord(pipe=1, data=54, model= + 0: 1): 365, ProcessCoord(pipe=1, data=55, model=0): 366, ProcessCoord(pipe=1, data=55, model=1): 367, ProcessCoord(pipe=1, data=56, model=0): 368, ProcessCoord(pipe=1, data=56, model=1): 369, ProcessCoord(pipe=1, data=57, model=0): 370, ProcessCoord(pipe=1, data=57, model=1): 371, ProcessCoord(pipe=1, data=58, model=0): 372, ProcessCoord(pipe=1, data=58, model=1): 373, ProcessCoord(pipe=1, data=59, model=0): 374, ProcessCoord(pipe=1, data=59, model=1): 375, ProcessCoord(pipe=1, data=60, model=0): 376, ProcessCoord(pipe=1, data=60, model=1): 377, ProcessCoord(pipe=1, data=61, model=0): 378, ProcessCoord(pipe=1, data=61, model=1): 379, ProcessCoord(pipe=1, data=62, model=0): 380, ProcessCoord(pipe=1, data=62, model=1): 381, ProcessCoord(pipe=1, data=63, model=0): 382, ProcessCoord(pipe=1, data=63, model=1): 383, ProcessCoord(pipe=1, data=64, model=0): 384, ProcessCoord(pipe=1, data=64, model=1): 385, ProcessCoord(pipe=1, data=65, model=0): 386, ProcessCoord(pipe=1, data=65, model=1): 387, ProcessCoord(pipe=1, data + 0: =66, model=0): 388, ProcessCoord(pipe=1, data=66, model=1): 389, ProcessCoord(pipe=1, data=67, model=0): 390, ProcessCoord(pipe=1, data=67, model=1): 391, ProcessCoord(pipe=1, data=68, model=0): 392, ProcessCoord(pipe=1, data=68, model=1): 393, ProcessCoord(pipe=1, data=69, model=0): 394, ProcessCoord(pipe=1, data=69, model=1): 395, ProcessCoord(pipe=1, data=70, model=0): 396, ProcessCoord(pipe=1, data=70, model=1): 397, ProcessCoord(pipe=1, data=71, model=0): 398, ProcessCoord(pipe=1, data=71, model=1): 399, ProcessCoord(pipe=1, data=72, model=0): 400, ProcessCoord(pipe=1, data=72, model=1): 401, ProcessCoord(pipe=1, data=73, model=0): 402, ProcessCoord(pipe=1, data=73, model=1): 403, ProcessCoord(pipe=1, data=74, model=0): 404, ProcessCoord(pipe=1, data=74, model=1): 405, ProcessCoord(pipe=1, data=75, model=0): 406, ProcessCoord(pipe=1, data=75, model=1): 407, ProcessCoord(pipe=1, data=76, model=0): 408, ProcessCoord(pipe=1, data=76, model=1): 409, ProcessCoord(pipe=1, data=77, model=0): 410, ProcessCoord(p + 0: ipe=1, data=77, model=1): 411, ProcessCoord(pipe=1, data=78, model=0): 412, ProcessCoord(pipe=1, data=78, model=1): 413, ProcessCoord(pipe=1, data=79, model=0): 414, ProcessCoord(pipe=1, data=79, model=1): 415, ProcessCoord(pipe=1, data=80, model=0): 416, ProcessCoord(pipe=1, data=80, model=1): 417, ProcessCoord(pipe=1, data=81, model=0): 418, ProcessCoord(pipe=1, data=81, model=1): 419, ProcessCoord(pipe=1, data=82, model=0): 420, ProcessCoord(pipe=1, data=82, model=1): 421, ProcessCoord(pipe=1, data=83, model=0): 422, ProcessCoord(pipe=1, data=83, model=1): 423, ProcessCoord(pipe=1, data=84, model=0): 424, ProcessCoord(pipe=1, data=84, model=1): 425, ProcessCoord(pipe=1, data=85, model=0): 426, ProcessCoord(pipe=1, data=85, model=1): 427, ProcessCoord(pipe=1, data=86, model=0): 428, ProcessCoord(pipe=1, data=86, model=1): 429, ProcessCoord(pipe=1, data=87, model=0): 430, ProcessCoord(pipe=1, data=87, model=1): 431, ProcessCoord(pipe=1, data=88, model=0): 432, ProcessCoord(pipe=1, data=88, model=1): 433, Pro + 0: cessCoord(pipe=1, data=89, model=0): 434, ProcessCoord(pipe=1, data=89, model=1): 435, ProcessCoord(pipe=1, data=90, model=0): 436, ProcessCoord(pipe=1, data=90, model=1): 437, ProcessCoord(pipe=1, data=91, model=0): 438, ProcessCoord(pipe=1, data=91, model=1): 439, ProcessCoord(pipe=1, data=92, model=0): 440, ProcessCoord(pipe=1, data=92, model=1): 441, ProcessCoord(pipe=1, data=93, model=0): 442, ProcessCoord(pipe=1, data=93, model=1): 443, ProcessCoord(pipe=1, data=94, model=0): 444, ProcessCoord(pipe=1, data=94, model=1): 445, ProcessCoord(pipe=1, data=95, model=0): 446, ProcessCoord(pipe=1, data=95, model=1): 447, ProcessCoord(pipe=1, data=96, model=0): 448, ProcessCoord(pipe=1, data=96, model=1): 449, ProcessCoord(pipe=1, data=97, model=0): 450, ProcessCoord(pipe=1, data=97, model=1): 451, ProcessCoord(pipe=1, data=98, model=0): 452, ProcessCoord(pipe=1, data=98, model=1): 453, ProcessCoord(pipe=1, data=99, model=0): 454, ProcessCoord(pipe=1, data=99, model=1): 455, ProcessCoord(pipe=1, data=100, model= + 0: 0): 456, ProcessCoord(pipe=1, data=100, model=1): 457, ProcessCoord(pipe=1, data=101, model=0): 458, ProcessCoord(pipe=1, data=101, model=1): 459, ProcessCoord(pipe=1, data=102, model=0): 460, ProcessCoord(pipe=1, data=102, model=1): 461, ProcessCoord(pipe=1, data=103, model=0): 462, ProcessCoord(pipe=1, data=103, model=1): 463, ProcessCoord(pipe=1, data=104, model=0): 464, ProcessCoord(pipe=1, data=104, model=1): 465, ProcessCoord(pipe=1, data=105, model=0): 466, ProcessCoord(pipe=1, data=105, model=1): 467, ProcessCoord(pipe=1, data=106, model=0): 468, ProcessCoord(pipe=1, data=106, model=1): 469, ProcessCoord(pipe=1, data=107, model=0): 470, ProcessCoord(pipe=1, data=107, model=1): 471, ProcessCoord(pipe=1, data=108, model=0): 472, ProcessCoord(pipe=1, data=108, model=1): 473, ProcessCoord(pipe=1, data=109, model=0): 474, ProcessCoord(pipe=1, data=109, model=1): 475, ProcessCoord(pipe=1, data=110, model=0): 476, ProcessCoord(pipe=1, data=110, model=1): 477, ProcessCoord(pipe=1, data=111, model=0): 478, Pro + 0: cessCoord(pipe=1, data=111, model=1): 479, ProcessCoord(pipe=1, data=112, model=0): 480, ProcessCoord(pipe=1, data=112, model=1): 481, ProcessCoord(pipe=1, data=113, model=0): 482, ProcessCoord(pipe=1, data=113, model=1): 483, ProcessCoord(pipe=1, data=114, model=0): 484, ProcessCoord(pipe=1, data=114, model=1): 485, ProcessCoord(pipe=1, data=115, model=0): 486, ProcessCoord(pipe=1, data=115, model=1): 487, ProcessCoord(pipe=1, data=116, model=0): 488, ProcessCoord(pipe=1, data=116, model=1): 489, ProcessCoord(pipe=1, data=117, model=0): 490, ProcessCoord(pipe=1, data=117, model=1): 491, ProcessCoord(pipe=1, data=118, model=0): 492, ProcessCoord(pipe=1, data=118, model=1): 493, ProcessCoord(pipe=1, data=119, model=0): 494, ProcessCoord(pipe=1, data=119, model=1): 495, ProcessCoord(pipe=1, data=120, model=0): 496, ProcessCoord(pipe=1, data=120, model=1): 497, ProcessCoord(pipe=1, data=121, model=0): 498, ProcessCoord(pipe=1, data=121, model=1): 499, ProcessCoord(pipe=1, data=122, model=0): 500, ProcessCoord(pi + 0: pe=1, data=122, model=1): 501, ProcessCoord(pipe=1, data=123, model=0): 502, ProcessCoord(pipe=1, data=123, model=1): 503, ProcessCoord(pipe=1, data=124, model=0): 504, ProcessCoord(pipe=1, data=124, model=1): 505, ProcessCoord(pipe=1, data=125, model=0): 506, ProcessCoord(pipe=1, data=125, model=1): 507, ProcessCoord(pipe=1, data=126, model=0): 508, ProcessCoord(pipe=1, data=126, model=1): 509, ProcessCoord(pipe=1, data=127, model=0): 510, ProcessCoord(pipe=1, data=127, model=1): 511} + 0: [2022-11-25 09:40:32,073] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer + 0: stage=0 layers=24 + 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: stage=1 layers=25 + 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: ParallelTransformerLayerPipe + 0: 38: ParallelTransformerLayerPipe + 0: 39: ParallelTransformerLayerPipe + 0: 40: ParallelTransformerLayerPipe + 0: 41: ParallelTransformerLayerPipe + 0: 42: ParallelTransformerLayerPipe + 0: 43: ParallelTransformerLayerPipe + 0: 44: ParallelTransformerLayerPipe + 0: 45: undo + 0: 46: MixedFusedLayerNorm + 0: 47: EmbeddingPipe + 0: 48: float16_to_fp32 + 0: loss: CrossEntropy + 0: [2022-11-25 09:40:37,878] [INFO] [utils.py:827:see_memory_usage] After Building Model + 0: [2022-11-25 09:40:37,879] [INFO] [utils.py:828:see_memory_usage] MA 4.16 GB Max_MA 4.16 GB CA 4.17 GB Max_CA 4 GB + 0: [2022-11-25 09:40:37,879] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 44.37 GB, percent = 8.8% + 0: setting training iterations to 5494 + 0: > learning rate decay style: cosine + 0: DeepSpeed is enabled. + 0: [2022-11-25 09:40:37,881] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown +40: ninja: no work to do. +11: Time to load utils op: 0.003289461135864258 seconds +40: Time to load utils op: 0.3481590747833252 seconds +40: Time to load utils op: 0.0005748271942138672 seconds +20: ninja: no work to do. +47: Time to load utils op: 0.2024707794189453 seconds +20: Time to load utils op: 0.17470908164978027 seconds +50: Time to load utils op: 0.30288028717041016 seconds +41: Time to load utils op: 0.302654504776001 seconds +49: Time to load utils op: 0.3044393062591553 seconds +53: Time to load utils op: 0.30236363410949707 seconds +51: Time to load utils op: 0.30266547203063965 seconds +50: Time to load utils op: 0.20204901695251465 seconds 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load utils op: 0.40445828437805176 seconds +39: Time to load utils op: 0.40465664863586426 secondsTime to load utils op: 0.4045848846435547 seconds +39: Time to load utils op: 0.40497255325317383 seconds +39: +56: Time to load utils op: 0.00034689903259277344 seconds +17: Time to load utils op: 0.20233988761901855 seconds +18: Time to load utils op: 0.20270395278930664 seconds +19: Time to load utils op: 0.2023460865020752 seconds + 0: [2022-11-25 09:40:46,320] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False + 0: [2022-11-25 09:40:46,320] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer +57: Time to load utils op: 0.0003304481506347656 seconds + 0: [2022-11-25 09:40:46,320] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer +58: Time to load utils op: 0.00033211708068847656 seconds +22: Time to load utils op: 0.20239949226379395 seconds +59: Time to load utils op: 0.0003523826599121094 seconds +23: Time to load utils op: 0.2023022174835205 seconds +60: Time to load utils op: 0.00032830238342285156 seconds +63: Time to load utils op: 0.0003371238708496094 seconds +31: Time to load utils op: 0.2024991512298584 seconds + 1: Time to load utils op: 0.0003802776336669922 seconds + 0: Time to load utils op: 0.00035500526428222656 seconds + 0: [2022-11-25 09:40:46,328] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam + 0: [2022-11-25 09:40:46,328] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer +32: Time to load utils op: 0.00045371055603027344 seconds + 8: Time to load utils op: 0.00031566619873046875 seconds + 7: Time to load utils op: 0.00036025047302246094 seconds +32: Time to load utils op: 0.00032591819763183594 seconds +32: Time to load utils op: 0.0003542900085449219 seconds +32: Time to load utils op: 0.00034618377685546875 seconds +33: Time to load utils op: 0.00038361549377441406 seconds +33: 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+35: Time to load utils op: 0.0005605220794677734 seconds +35: Time to load utils op: 0.0005705356597900391 seconds +37: Time to load utils op: 0.0003643035888671875 secondsTime to load utils op: 0.0005559921264648438 seconds +37: +36: Time to load utils op: 0.0005652904510498047 seconds +36: Time to load utils op: 0.0005435943603515625 secondsTime to load utils op: 0.0004875659942626953 seconds +36: +35: Time to load utils op: 0.0004851818084716797 seconds +37: Time to load utils op: 0.00048661231994628906 seconds +39: Time to load utils op: 0.0004477500915527344 seconds +38: Time to load utils op: 0.0004994869232177734 seconds +38: Time to load utils op: 0.0004031658172607422 seconds +39: Time to load utils op: 0.0003483295440673828 seconds +38: Time to load utils op: 0.0003426074981689453 seconds +40: Time to load utils op: 0.0004665851593017578 seconds +40: Time to load utils op: 0.00033593177795410156 seconds +39: Time to load utils op: 0.0003383159637451172 seconds +39: Time to load utils op: 0.0003299713134765625 seconds +40: Time to load utils op: 0.00035953521728515625 seconds +40: Time to load utils op: 0.0003414154052734375 seconds +32: Time to load utils op: 0.0004520416259765625 seconds +41: Time to load utils op: 0.0005462169647216797 seconds +41: Time to load utils op: 0.0003802776336669922 seconds +41: Time to load utils op: 0.00036454200744628906 seconds +41: Time to load utils op: 0.0004019737243652344 seconds +45: Time to load utils op: 0.00042700767517089844 seconds +43: Time to load utils op: 0.00042700767517089844 seconds +43: Time to load utils op: 0.0004191398620605469 seconds + 0: [2022-11-25 09:40:46,373] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer + 0: [2022-11-25 09:40:46,374] [INFO] [utils.py:828:see_memory_usage] MA 4.15 GB Max_MA 4.18 GB CA 4.18 GB Max_CA 4 GB + 0: [2022-11-25 09:40:46,374] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 45.28 GB, percent = 9.0% + 0: ninja: no work to do. + 0: Time to 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0.00034499168395996094 seconds + 0: [2022-11-25 09:40:46,666] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 + 0: [2022-11-25 09:40:46,666] [INFO] [utils.py:828:see_memory_usage] MA 8.44 GB Max_MA 8.44 GB CA 10.57 GB Max_CA 11 GB + 0: [2022-11-25 09:40:46,666] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 45.31 GB, percent = 9.0% + 0: [2022-11-25 09:40:46,710] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 + 0: [2022-11-25 09:40:46,711] [INFO] [utils.py:828:see_memory_usage] MA 8.44 GB Max_MA 8.44 GB CA 10.57 GB Max_CA 11 GB + 0: [2022-11-25 09:40:46,711] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 45.39 GB, percent = 9.0% + 0: [2022-11-25 09:40:46,746] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 + 0: [2022-11-25 09:40:46,746] [INFO] [utils.py:828:see_memory_usage] MA 12.5 GB Max_MA 12.5 GB CA 16.62 GB Max_CA 17 GB + 0: [2022-11-25 09:40:46,747] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 45.42 GB, percent = 9.0% + 0: [2022-11-25 09:40:46,787] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 + 0: [2022-11-25 09:40:46,788] [INFO] [utils.py:828:see_memory_usage] MA 12.5 GB Max_MA 12.5 GB CA 16.62 GB Max_CA 17 GB + 0: [2022-11-25 09:40:46,788] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 45.47 GB, percent = 9.0% + 0: [2022-11-25 09:40:46,840] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 + 0: [2022-11-25 09:40:46,841] [INFO] [utils.py:828:see_memory_usage] MA 12.51 GB Max_MA 12.51 GB CA 16.62 GB Max_CA 17 GB + 0: [2022-11-25 09:40:46,841] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 45.63 GB, percent = 9.1% + 0: [2022-11-25 09:40:46,893] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer + 0: [2022-11-25 09:40:46,894] [INFO] [utils.py:828:see_memory_usage] MA 12.51 GB Max_MA 12.51 GB CA 16.62 GB Max_CA 17 GB + 0: [2022-11-25 09:40:46,894] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 45.75 GB, percent = 9.1% + 0: [2022-11-25 09:40:46,943] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer + 0: [2022-11-25 09:40:46,944] [INFO] [utils.py:828:see_memory_usage] MA 12.64 GB Max_MA 12.64 GB CA 16.62 GB Max_CA 17 GB + 0: [2022-11-25 09:40:46,944] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 45.84 GB, percent = 9.1% + 0: [2022-11-25 09:40:46,982] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer + 0: [2022-11-25 09:40:46,982] [INFO] [utils.py:828:see_memory_usage] MA 12.64 GB Max_MA 12.64 GB CA 16.62 GB Max_CA 17 GB + 0: [2022-11-25 09:40:46,982] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 45.84 GB, percent = 9.1% + 0: [2022-11-25 09:40:46,982] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam + 0: [2022-11-25 09:40:46,983] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler + 0: [2022-11-25 09:40:46,983] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = + 0: [2022-11-25 09:40:46,983] [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 09:40:46,983] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: + 0: [2022-11-25 09:40:46,983] [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 09:40:46,983] [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 09:40:46,983] [INFO] [config.py:1011:print] amp_enabled .................. False + 0: [2022-11-25 09:40:46,983] [INFO] [config.py:1011:print] amp_params ................... False + 0: [2022-11-25 09:40:46,984] [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 09:40:46,984] [INFO] [config.py:1011:print] bfloat16_enabled ............. True + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] comms_config ................. + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] communication_data_type ...... None + 0: [2022-11-25 09:40:46,984] [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 09:40:46,984] [INFO] [config.py:1011:print] curriculum_enabled ........... False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] curriculum_params ............ False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] dataloader_drop_last ......... False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] disable_allgather ............ False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] dump_state ................... False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] elasticity_enabled ........... False + 0: [2022-11-25 09:40:46,984] [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 09:40:46,984] [INFO] [config.py:1011:print] fp16_auto_cast ............... None + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] fp16_enabled ................. False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] global_rank .................. 0 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 4 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] load_universal_checkpoint .... False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] loss_scale ................... 1.0 + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] memory_breakdown ............. False + 0: [2022-11-25 09:40:46,984] [INFO] [config.py:1011:print] monitor_config ............... + 0: [2022-11-25 09:40:46,984] [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 09:40:46,985] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] optimizer_name ............... None + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] optimizer_params ............. None + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] pld_enabled .................. False + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] pld_params ................... False + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] prescale_gradients ........... False + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] scheduler_name ............... None + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] scheduler_params ............. None + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] sparse_attention ............. None + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] steps_per_print .............. 2000 + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] train_batch_size ............. 1024 + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 2 + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] use_node_local_storage ....... False + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] world_size ................... 128 + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False + 0: [2022-11-25 09:40:46,985] [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 09:40:46,985] [INFO] [config.py:1011:print] zero_enabled ................. False + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 + 0: [2022-11-25 09:40:46,985] [INFO] [config.py:996:print_user_config] json = { + 0: "train_micro_batch_size_per_gpu": 2, + 0: "train_batch_size": 1.024000e+03, + 0: "gradient_clipping": 1.0, + 0: "zero_optimization": { + 0: "stage": 0 + 0: }, + 0: "bf16": { + 0: "enabled": true + 0: }, + 0: "steps_per_print": 2.000000e+03, + 0: "wall_clock_breakdown": false + 0: } + 0: Time to load utils op: 0.00041103363037109375 seconds + 0: [2022-11-25 09:40:46,986] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=4 micro_batch_size=2 + 0: [2022-11-25 09:40:47,132] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=24 [0, 24) STAGE_PARAMS=2226419712 (2226.420M) TOTAL_PARAMS=8905695232 (8905.695M) UNIQUE_PARAMS=8682348544 (8682.349M) +32: [2022-11-25 09:40:47,132] [INFO] [engine.py:145:__init__] RANK=256 STAGE=1 LAYERS=25 [24, 49) STAGE_PARAMS=2226427904 (2226.428M) TOTAL_PARAMS=8905695232 (8905.695M) UNIQUE_PARAMS=8682348544 (8682.349M) +32: [2022-11-25 09:40:47,132] [INFO] [engine.py:145:__init__] RANK=257 STAGE=1 LAYERS=25 [24, 49) STAGE_PARAMS=2226427904 (2226.428M) TOTAL_PARAMS=8905695232 (8905.695M) UNIQUE_PARAMS=8682348544 (8682.349M) + 0: [2022-11-25 09:40:47,132] [INFO] [engine.py:145:__init__] RANK=1 STAGE=0 LAYERS=24 [0, 24) STAGE_PARAMS=2226419712 (2226.420M) TOTAL_PARAMS=8905695232 (8905.695M) UNIQUE_PARAMS=8682348544 (8682.349M) + 0: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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_8b7 + 0: will not load any checkpoints and will start from random +63: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +63: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +60: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +60: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +56: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +56: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +56: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +56: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +62: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +62: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +48: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +48: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +32: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +32: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +63: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +63: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +55: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +55: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +60: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +56: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +62: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +62: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +48: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +32: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +39: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +55: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +61: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +61: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +59: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +59: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +58: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +58: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +58: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +58: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +40: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +40: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +60: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +52: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +52: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +52: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +52: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +56: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +56: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +54: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +54: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +54: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +62: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +47: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +47: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +46: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +46: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +44: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +44: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +48: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +57: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +57: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +57: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +57: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +63: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +39: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +53: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +53: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +53: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +51: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +51: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +61: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +59: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +35: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +35: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +58: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +40: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +40: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +60: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +52: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +52: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +56: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +54: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +62: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +36: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +36: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +36: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +36: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +38: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +38: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +49: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +49: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +47: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +41: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +41: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +45: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +45: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +43: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +43: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +43: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +43: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +34: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +34: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +46: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +44: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +44: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +48: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +50: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +50: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +42: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +42: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +42: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +42: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +32: [2022-11-25 09:40:50,239] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +57: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +63: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +39: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +53: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +55: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +51: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +51: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +33: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +61: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +59: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +35: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +35: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +37: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +37: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +58: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +40: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +60: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +52: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +52: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +54: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +54: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +62: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +36: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +38: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +49: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +49: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +47: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +41: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +45: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +45: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +43: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +34: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +34: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +46: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +44: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +44: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +48: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +50: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +42: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +42: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +32: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +32: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +57: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +63: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +63: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +39: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +53: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +53: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +55: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +51: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +33: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +61: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +59: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +59: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +35: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +37: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +58: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +58: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +40: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +60: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +60: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +54: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +62: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +36: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +38: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +49: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +47: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +41: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +45: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +43: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +34: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +34: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +46: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +46: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +44: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +44: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +48: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +50: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +42: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +42: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +57: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +57: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +39: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +39: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +53: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +53: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +55: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +51: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +33: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +61: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +59: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +35: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +37: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +40: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +40: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +54: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +36: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +36: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +38: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +38: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +49: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +47: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +41: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +45: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +43: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +34: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +34: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +46: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +46: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +48: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +50: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +50: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +32: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +39: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +39: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +55: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +55: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +51: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +51: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +33: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +61: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +61: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +59: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +35: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +35: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +37: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +37: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +38: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +38: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +49: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +49: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +47: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +41: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +45: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +43: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +50: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +50: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +32: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +33: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +33: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +37: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +37: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +47: [2022-11-25 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +41: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +45: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +33: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +33: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +41: [2022-11-25 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,240] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/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 09:40:50,241] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_8b7/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +63: time (ms) | load-checkpoint: 11.24 + 0: estimated model parameters: 8.905678848 + 0: estimated model parameters without embeddings: 8.458985472 + 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-25 09:40:50 + 0: > building train, validation, and test datasets ... + 0: > datasets target sizes (minimum size): + 0: train: 5625981 + 0: validation: 6144 + 0: test: 1024 + 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 0.001253 seconds + 0: number of documents: 210604984 + 0: > dataset split: + 0: train: + 0: document indices in [0, 199864130) total of 199864130 documents + 0: validation: + 0: document indices in [199864130, 210394379) total of 10530249 documents + 0: test: + 0: document indices in [210394379, 210604984) total of 210605 documents + 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_5625981ns_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_5625981ns_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_5625981ns_2048sl_1234s_shuffle_idx.npy + 0: loaded indexed file in 0.004 seconds + 0: total number of samples: 173377817 + 0: total number of epochs: 1 + 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_6144ns_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_6144ns_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_6144ns_2048sl_1234s_shuffle_idx.npy + 0: loaded indexed file in 0.007 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_1024ns_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_1024ns_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_1024ns_2048sl_1234s_shuffle_idx.npy + 0: loaded indexed file in 0.003 seconds + 0: total number of samples: 182928 + 0: total number of epochs: 1 + 0: > finished creating GPT datasets ... + 0: [after dataloaders are built] datetime: 2022-11-25 09:41:03 + 0: done with setup ... + 0: training ... + 0: Number of parameters: [tensor rank - pipeline rank] w/ and w/o embeddings: +63: time (ms) | model-and-optimizer-setup: 29775.93 | train/valid/test-data-iterators-setup: 11866.08 + 0: [001-000] 8.9057B / 8.4590B +32: [001-001] 8.9057B / 8.4590B +32: [000-001] 8.9057B / 8.4590B + 0: [000-000] 8.9057B / 8.4590B + 0: [before the start of training step] datetime: 2022-11-25 09:41:04 + 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 17215.4833984375 | max allocated: 59062.27294921875 | reserved: 63330.0 | max reserved: 63394.0 +32: [Rank 256] (after 10 iterations) memory (MB) | allocated: 18102.45556640625 | max allocated: 39591.79736328125 | reserved: 47074.0 | max reserved: 47074.0 + 0: [Rank 1] (after 10 iterations) memory (MB) | allocated: 17215.4833984375 | max allocated: 59062.27294921875 | reserved: 62386.0 | max reserved: 62386.0 +32: [Rank 257] (after 10 iterations) memory (MB) | allocated: 18102.45556640625 | max allocated: 39591.79736328125 | reserved: 46066.0 | max reserved: 46066.0 +63: iteration 10/ 5494 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 11.15 | learning rate: 3.640E-05 | global batch size: 1024 | lm loss: 1.425811E+01 | grad norm: 7.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.809 | TFLOPs: 20.53 | +63: iteration 20/ 5494 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 6.86 | learning rate: 7.280E-05 | global batch size: 1024 | lm loss: 9.124741E+00 | grad norm: 6.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 149.286 | TFLOPs: 33.38 | +63: iteration 30/ 5494 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 6.70 | learning rate: 1.092E-04 | global batch size: 1024 | lm loss: 7.498499E+00 | grad norm: 3.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 152.855 | TFLOPs: 34.17 | +63: iteration 40/ 5494 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 6.24 | learning rate: 1.456E-04 | global batch size: 1024 | lm loss: 7.268354E+00 | grad norm: 1.506 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 164.149 | TFLOPs: 36.70 | +63: iteration 50/ 5494 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 6.53 | learning rate: 1.820E-04 | global batch size: 1024 | lm loss: 7.204363E+00 | grad norm: 3.740 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 156.915 | TFLOPs: 35.08 | +63: iteration 60/ 5494 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 6.27 | learning rate: 2.000E-04 | global batch size: 1024 | lm loss: 7.129514E+00 | grad norm: 3.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 163.435 | TFLOPs: 36.54 | +63: iteration 70/ 5494 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 6.36 | learning rate: 2.000E-04 | global batch size: 1024 | lm loss: 6.949097E+00 | grad norm: 2.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 160.882 | TFLOPs: 35.97 | +63: iteration 80/ 5494 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 5.92 | learning rate: 2.000E-04 | global batch size: 1024 | lm loss: 6.782018E+00 | grad norm: 2.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 172.828 | TFLOPs: 38.64 | +63: iteration 90/ 5494 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 6.09 | learning rate: 2.000E-04 | global batch size: 1024 | lm loss: 6.744170E+00 | grad norm: 3.822 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 168.014 | TFLOPs: 37.56 | +63: iteration 100/ 5494 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 6.20 | learning rate: 2.000E-04 | global batch size: 1024 | lm loss: 6.639218E+00 | grad norm: 2.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 165.262 | TFLOPs: 36.95 | +63: iteration 110/ 5494 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 6.54 | learning rate: 2.000E-04 | global batch size: 1024 | lm loss: 6.536300E+00 | grad norm: 2.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 156.638 | TFLOPs: 35.02 | +63: iteration 120/ 5494 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 6.29 | learning rate: 1.999E-04 | global batch size: 1024 | lm loss: 6.427072E+00 | grad norm: 1.552 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 162.913 | TFLOPs: 36.42 | +63: iteration 130/ 5494 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 5.55 | learning rate: 1.999E-04 | global batch size: 1024 | lm loss: 6.322859E+00 | grad norm: 1.864 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.459 | TFLOPs: 41.24 | +63: iteration 140/ 5494 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 6.13 | learning rate: 1.999E-04 | global batch size: 1024 | lm loss: 6.248438E+00 | grad norm: 1.884 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 167.108 | TFLOPs: 37.36 | +63: iteration 150/ 5494 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 6.02 | learning rate: 1.999E-04 | global batch size: 1024 | lm loss: 6.100858E+00 | grad norm: 2.602 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 170.206 | TFLOPs: 38.05 | +63: iteration 160/ 5494 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 6.13 | learning rate: 1.998E-04 | global batch size: 1024 | lm loss: 6.012361E+00 | grad norm: 2.117 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 166.935 | TFLOPs: 37.32 | +63: iteration 170/ 5494 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 5.96 | learning rate: 1.998E-04 | global batch size: 1024 | lm loss: 5.936864E+00 | grad norm: 1.911 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 171.789 | TFLOPs: 38.41 | +63: iteration 180/ 5494 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 9.53 | learning rate: 1.998E-04 | global batch size: 1024 | lm loss: 5.858692E+00 | grad norm: 2.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.397 | TFLOPs: 24.01 | +63: iteration 190/ 5494 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 8.46 | learning rate: 1.997E-04 | global batch size: 1024 | lm loss: 5.794482E+00 | grad norm: 1.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.973 | TFLOPs: 27.05 | +63: iteration 200/ 5494 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 6.25 | learning rate: 1.997E-04 | global batch size: 1024 | lm loss: 5.722625E+00 | grad norm: 1.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 163.945 | TFLOPs: 36.65 | +63: iteration 210/ 5494 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 5.84 | learning rate: 1.996E-04 | global batch size: 1024 | lm loss: 5.652419E+00 | grad norm: 2.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 175.297 | TFLOPs: 39.19 | +63: iteration 220/ 5494 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 6.10 | learning rate: 1.996E-04 | global batch size: 1024 | lm loss: 5.593320E+00 | grad norm: 1.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 167.952 | TFLOPs: 37.55 | +63: iteration 230/ 5494 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 5.72 | learning rate: 1.995E-04 | global batch size: 1024 | lm loss: 5.553791E+00 | grad norm: 2.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 178.956 | TFLOPs: 40.01 | +63: iteration 240/ 5494 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 7.23 | learning rate: 1.995E-04 | global batch size: 1024 | lm loss: 5.506816E+00 | grad norm: 2.014 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 141.696 | TFLOPs: 31.68 | +63: iteration 250/ 5494 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 7.04 | learning rate: 1.994E-04 | global batch size: 1024 | lm loss: 5.467096E+00 | grad norm: 1.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 145.527 | TFLOPs: 32.54 | +63: iteration 260/ 5494 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 6.11 | learning rate: 1.994E-04 | global batch size: 1024 | lm loss: 5.428356E+00 | grad norm: 1.040 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 167.687 | TFLOPs: 37.49 | +63: iteration 270/ 5494 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 7.06 | learning rate: 1.993E-04 | global batch size: 1024 | lm loss: 5.379630E+00 | grad norm: 1.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 145.036 | TFLOPs: 32.43 | +63: iteration 280/ 5494 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 5.55 | learning rate: 1.992E-04 | global batch size: 1024 | lm loss: 5.354424E+00 | grad norm: 1.532 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.629 | TFLOPs: 41.28 | +63: iteration 290/ 5494 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 5.87 | learning rate: 1.992E-04 | global batch size: 1024 | lm loss: 5.309001E+00 | grad norm: 1.924 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 174.320 | TFLOPs: 38.97 | +63: iteration 300/ 5494 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 6.27 | learning rate: 1.991E-04 | global batch size: 1024 | lm loss: 5.298676E+00 | grad norm: 1.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 163.379 | TFLOPs: 36.53 | +63: iteration 310/ 5494 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 5.97 | learning rate: 1.990E-04 | global batch size: 1024 | lm loss: 5.212383E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 171.595 | TFLOPs: 38.36 | +63: iteration 320/ 5494 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 6.02 | learning rate: 1.989E-04 | global batch size: 1024 | lm loss: 5.143223E+00 | grad norm: 2.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 170.014 | TFLOPs: 38.01 | +63: iteration 330/ 5494 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 5.83 | learning rate: 1.989E-04 | global batch size: 1024 | lm loss: 5.109738E+00 | grad norm: 1.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 175.639 | TFLOPs: 39.27 | +63: iteration 340/ 5494 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 5.97 | learning rate: 1.988E-04 | global batch size: 1024 | lm loss: 5.063797E+00 | grad norm: 1.111 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 171.526 | TFLOPs: 38.35 | +63: iteration 350/ 5494 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 5.81 | learning rate: 1.987E-04 | global batch size: 1024 | lm loss: 5.040391E+00 | grad norm: 0.994 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 176.116 | TFLOPs: 39.37 | +63: iteration 360/ 5494 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 5.70 | learning rate: 1.986E-04 | global batch size: 1024 | lm loss: 4.981058E+00 | grad norm: 0.786 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 179.648 | TFLOPs: 40.16 | +63: iteration 370/ 5494 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 5.96 | learning rate: 1.985E-04 | global batch size: 1024 | lm loss: 4.953582E+00 | grad norm: 1.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 171.907 | TFLOPs: 38.43 | +63: iteration 380/ 5494 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 5.94 | learning rate: 1.984E-04 | global batch size: 1024 | lm loss: 4.925888E+00 | grad norm: 1.045 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 172.469 | TFLOPs: 38.56 | +63: iteration 390/ 5494 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 6.91 | learning rate: 1.983E-04 | global batch size: 1024 | lm loss: 4.877906E+00 | grad norm: 1.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 148.251 | TFLOPs: 33.14 | +63: iteration 400/ 5494 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 7.86 | learning rate: 1.982E-04 | global batch size: 1024 | lm loss: 4.852319E+00 | grad norm: 0.840 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 130.224 | TFLOPs: 29.11 | +63: iteration 410/ 5494 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 10.67 | learning rate: 1.981E-04 | global batch size: 1024 | lm loss: 4.779604E+00 | grad norm: 0.999 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 95.935 | TFLOPs: 21.45 | +63: iteration 420/ 5494 | consumed samples: 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checkpoints_8b7/global_step1000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. + 6: [2022-11-25 11:23:09,753] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step1000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt + 6: [2022-11-25 11:23:09,753] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! +28: [2022-11-25 11:23:09,754] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step1000/bf16_zero_pp_rank_112_mp_rank_01_optim_states.pt. +28: [2022-11-25 11:23:09,754] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step1000/bf16_zero_pp_rank_112_mp_rank_01_optim_states.pt +28: [2022-11-25 11:23:09,754] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! +41: [2022-11-25 11:23:09,769] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step1000/bf16_zero_pp_rank_36_mp_rank_03_optim_states.pt. +41: [2022-11-25 11:23:09,769] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step1000/bf16_zero_pp_rank_36_mp_rank_03_optim_states.pt +41: [2022-11-25 11:23:09,769] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! +37: [2022-11-25 11:23:09,770] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step1000/bf16_zero_pp_rank_23_mp_rank_02_optim_states.pt. +37: [2022-11-25 11:23:09,770] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step1000/bf16_zero_pp_rank_23_mp_rank_02_optim_states.pt +37: [2022-11-25 11:23:09,770] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! +16: [2022-11-25 11:23:09,779] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step1000/bf16_zero_pp_rank_64_mp_rank_01_optim_states.pt. +16: [2022-11-25 11:23:09,779] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step1000/bf16_zero_pp_rank_64_mp_rank_01_optim_states.pt +16: [2022-11-25 11:23:09,779] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! + 0: successfully saved checkpoint at iteration 1000 to checkpoints_8b7 +63: time (ms) | save-checkpoint: 6913.95 +63: iteration 1010/ 5494 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 6.66 | learning rate: 1.867E-04 | global batch size: 1024 | lm loss: 3.036755E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 153.848 | TFLOPs: 34.40 | +63: iteration 1020/ 5494 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 5.83 | learning rate: 1.864E-04 | global batch size: 1024 | lm loss: 3.029409E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 175.712 | TFLOPs: 39.28 | +63: iteration 1030/ 5494 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 5.92 | learning rate: 1.861E-04 | global batch size: 1024 | lm loss: 2.990776E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 172.918 | TFLOPs: 38.66 | +63: iteration 1040/ 5494 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 5.66 | learning rate: 1.858E-04 | global batch size: 1024 | lm loss: 2.981724E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.788 | TFLOPs: 40.42 | +63: iteration 1050/ 5494 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 5.92 | learning rate: 1.855E-04 | global batch size: 1024 | lm loss: 2.964180E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 173.051 | TFLOPs: 38.69 | +63: iteration 1060/ 5494 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 5.85 | learning rate: 1.853E-04 | global batch size: 1024 | lm loss: 2.975879E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 174.943 | TFLOPs: 39.11 | +63: iteration 1070/ 5494 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 5.66 | learning rate: 1.850E-04 | global batch size: 1024 | lm loss: 2.945570E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.972 | TFLOPs: 40.46 | +63: iteration 1080/ 5494 | consumed samples: 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samples per second: 184.803 | TFLOPs: 41.32 | +63: iteration 1140/ 5494 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 5.65 | learning rate: 1.829E-04 | global batch size: 1024 | lm loss: 2.903909E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.271 | TFLOPs: 40.53 | +63: iteration 1150/ 5494 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 6.01 | learning rate: 1.826E-04 | global batch size: 1024 | lm loss: 2.869392E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 170.521 | TFLOPs: 38.12 | +63: iteration 1160/ 5494 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 5.42 | learning rate: 1.823E-04 | global batch size: 1024 | lm loss: 2.875452E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.028 | TFLOPs: 42.26 | +63: iteration 1170/ 5494 | consumed samples: 1198080 | consumed tokens: 2453667840 | elapsed time per iteration (s): 5.78 | learning rate: 1.820E-04 | global batch size: 1024 | lm loss: 2.842657E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.040 | TFLOPs: 39.58 | +63: iteration 1180/ 5494 | consumed samples: 1208320 | consumed tokens: 2474639360 | elapsed time per iteration (s): 5.92 | learning rate: 1.817E-04 | global batch size: 1024 | lm loss: 2.843097E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 172.862 | TFLOPs: 38.65 | +63: iteration 1190/ 5494 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 5.67 | learning rate: 1.813E-04 | global batch size: 1024 | lm loss: 2.829501E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.494 | TFLOPs: 40.35 | +63: iteration 1200/ 5494 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time per iteration (s): 5.68 | learning rate: 1.810E-04 | global batch size: 1024 | lm loss: 2.844222E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.367 | TFLOPs: 40.32 | +63: iteration 1210/ 5494 | consumed samples: 1239040 | consumed tokens: 2537553920 | elapsed time per iteration (s): 5.55 | learning rate: 1.807E-04 | global batch size: 1024 | lm loss: 2.807220E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.560 | TFLOPs: 41.26 | +63: iteration 1220/ 5494 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 5.68 | learning rate: 1.804E-04 | global batch size: 1024 | lm loss: 2.828106E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.295 | TFLOPs: 40.31 | +63: iteration 1230/ 5494 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 5.55 | learning rate: 1.801E-04 | global batch size: 1024 | lm loss: 2.818738E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.410 | TFLOPs: 41.23 | +63: iteration 1240/ 5494 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 5.55 | learning rate: 1.797E-04 | global batch size: 1024 | lm loss: 2.817350E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.463 | TFLOPs: 41.24 | +63: iteration 1250/ 5494 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 5.82 | learning rate: 1.794E-04 | global batch size: 1024 | lm loss: 2.787200E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 175.863 | TFLOPs: 39.32 | +63: iteration 1260/ 5494 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 6.01 | learning rate: 1.791E-04 | global batch size: 1024 | lm loss: 2.768824E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 170.383 | TFLOPs: 38.09 | +63: iteration 1270/ 5494 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 5.58 | learning rate: 1.787E-04 | global batch size: 1024 | lm loss: 2.766957E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 183.354 | TFLOPs: 40.99 | +63: iteration 1280/ 5494 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 5.55 | learning rate: 1.784E-04 | global batch size: 1024 | lm loss: 2.779185E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.472 | TFLOPs: 41.24 | +63: iteration 1290/ 5494 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 5.83 | learning rate: 1.781E-04 | global batch size: 1024 | lm loss: 2.781754E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 175.779 | TFLOPs: 39.30 | +63: iteration 1300/ 5494 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 5.59 | learning rate: 1.777E-04 | global batch size: 1024 | lm loss: 2.774968E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 183.254 | TFLOPs: 40.97 | +63: iteration 1310/ 5494 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 6.06 | learning rate: 1.774E-04 | global batch size: 1024 | lm loss: 2.748240E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 168.881 | TFLOPs: 37.76 | +63: iteration 1320/ 5494 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 5.67 | learning rate: 1.770E-04 | global batch size: 1024 | lm loss: 2.752272E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.507 | TFLOPs: 40.36 | +63: iteration 1330/ 5494 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 5.67 | learning rate: 1.767E-04 | global batch size: 1024 | lm loss: 2.734439E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.449 | 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iterations: 0 | samples per second: 185.699 | TFLOPs: 41.52 | +63: iteration 1370/ 5494 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 5.72 | learning rate: 1.753E-04 | global batch size: 1024 | lm loss: 2.725698E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 178.994 | TFLOPs: 40.02 | +63: iteration 1380/ 5494 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 5.66 | learning rate: 1.749E-04 | global batch size: 1024 | lm loss: 2.717303E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.992 | TFLOPs: 40.46 | +63: iteration 1390/ 5494 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 5.54 | learning rate: 1.745E-04 | global batch size: 1024 | lm loss: 2.719729E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.864 | TFLOPs: 41.33 | +63: iteration 1400/ 5494 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 5.71 | learning rate: 1.742E-04 | global batch size: 1024 | lm loss: 2.698977E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 179.184 | TFLOPs: 40.06 | +63: iteration 1410/ 5494 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 5.81 | learning rate: 1.738E-04 | global batch size: 1024 | lm loss: 2.699133E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 176.257 | TFLOPs: 39.41 | +63: iteration 1420/ 5494 | consumed samples: 1454080 | consumed tokens: 2977955840 | elapsed time per iteration (s): 6.02 | learning rate: 1.734E-04 | global batch size: 1024 | lm loss: 2.699722E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 170.006 | TFLOPs: 38.01 | +63: iteration 1430/ 5494 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 5.54 | learning rate: 1.731E-04 | global batch size: 1024 | lm loss: 2.715108E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.871 | TFLOPs: 41.33 | +63: iteration 1440/ 5494 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 5.54 | learning rate: 1.727E-04 | global batch size: 1024 | lm loss: 3.847990E+00 | grad norm: 4.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.959 | TFLOPs: 41.35 | +63: iteration 1450/ 5494 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 5.77 | learning rate: 1.723E-04 | global batch size: 1024 | lm loss: 4.427395E+00 | grad norm: 2.806 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.479 | TFLOPs: 39.68 | +63: iteration 1460/ 5494 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 5.41 | learning rate: 1.720E-04 | global batch size: 1024 | lm loss: 3.847665E+00 | grad norm: 1.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.174 | TFLOPs: 42.29 | +63: iteration 1470/ 5494 | consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 5.80 | learning rate: 1.716E-04 | global batch size: 1024 | lm loss: 3.419533E+00 | grad norm: 1.482 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 176.613 | TFLOPs: 39.48 | +63: iteration 1480/ 5494 | consumed samples: 1515520 | consumed tokens: 3103784960 | elapsed time per iteration (s): 5.55 | learning rate: 1.712E-04 | global batch size: 1024 | lm loss: 3.177305E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.424 | TFLOPs: 41.23 | +63: iteration 1490/ 5494 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 5.41 | learning rate: 1.708E-04 | global batch size: 1024 | lm loss: 3.020963E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.359 | TFLOPs: 42.33 | +63: iteration 1500/ 5494 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 5.53 | learning rate: 1.704E-04 | global batch size: 1024 | lm loss: 2.910913E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.085 | TFLOPs: 41.38 | +63: iteration 1510/ 5494 | consumed samples: 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samples per second: 178.931 | TFLOPs: 40.00 | + 0: [2022-11-25 12:58:26,228] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00014893268673031913, 0.00014893268673031913, 0.00014893268673031913], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] +63: iteration 2000/ 5494 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 5.52 | learning rate: 1.489E-04 | global batch size: 1024 | lm loss: 2.530874E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.410 | TFLOPs: 41.45 | + 0: steps: 2000 loss: 2.5557 iter time (s): 5.914 samples/sec: 173.144 +63: ------------------------------------------------------------------------------------------ +63: valid loss at iteration 2000 | lm loss value: 2.529820E+00 | lm loss PPL: 1.255125E+01 | +63: ------------------------------------------------------------------------------------------ + 0: saving checkpoint at iteration 2000 to checkpoints_8b7 + 0: [2022-11-25 12:58:28,088] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! + 0: [2022-11-25 12:58:28,141] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_8b7/global_step2000/layer_01-model_00-model_states.pt... + 0: [2022-11-25 12:58:28,141] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_8b7/global_step2000/layer_01-model_01-model_states.pt... +32: [2022-11-25 12:58:28,145] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_8b7/global_step2000/layer_24-model_01-model_states.pt... +32: [2022-11-25 12:58:28,145] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_8b7/global_step2000/layer_24-model_00-model_states.pt... +32: [2022-11-25 12:58:28,575] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step2000/layer_24-model_00-model_states.pt. +32: [2022-11-25 12:58:28,575] [INFO] 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+63: iteration 2230/ 5494 | consumed samples: 2283520 | consumed tokens: 4676648960 | elapsed time per iteration (s): 5.69 | learning rate: 1.378E-04 | global batch size: 1024 | lm loss: 2.451455E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 179.844 | TFLOPs: 40.21 | +63: iteration 2240/ 5494 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 5.65 | learning rate: 1.373E-04 | global batch size: 1024 | lm loss: 2.449718E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.330 | TFLOPs: 40.54 | +63: iteration 2250/ 5494 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 5.76 | learning rate: 1.369E-04 | global batch size: 1024 | lm loss: 2.444774E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.638 | TFLOPs: 39.71 | +63: iteration 2260/ 5494 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 5.53 | learning rate: 1.364E-04 | global batch size: 1024 | lm loss: 2.459115E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.195 | TFLOPs: 41.40 | +63: iteration 2270/ 5494 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 5.84 | learning rate: 1.359E-04 | global batch size: 1024 | lm loss: 2.470336E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 175.242 | TFLOPs: 39.18 | +63: iteration 2280/ 5494 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 6.10 | learning rate: 1.354E-04 | global batch size: 1024 | lm loss: 2.446955E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped 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0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 152.238 | TFLOPs: 34.04 | +63: iteration 2320/ 5494 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 5.76 | learning rate: 1.334E-04 | global batch size: 1024 | lm loss: 2.456863E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.898 | TFLOPs: 39.77 | +63: iteration 2330/ 5494 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 5.65 | learning rate: 1.329E-04 | global batch size: 1024 | lm loss: 2.436933E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.223 | TFLOPs: 40.52 | +63: iteration 2340/ 5494 | consumed samples: 2396160 | consumed tokens: 4907335680 | elapsed time per iteration (s): 5.66 | learning rate: 1.324E-04 | global batch size: 1024 | lm loss: 2.443720E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.785 | TFLOPs: 40.42 | +63: iteration 2350/ 5494 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 5.40 | learning rate: 1.318E-04 | global batch size: 1024 | lm loss: 2.435389E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.469 | TFLOPs: 42.36 | +63: iteration 2360/ 5494 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 5.65 | learning rate: 1.313E-04 | global batch size: 1024 | lm loss: 2.430875E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.198 | TFLOPs: 40.51 | +63: iteration 2370/ 5494 | consumed samples: 2426880 | consumed tokens: 4970250240 | elapsed time per iteration (s): 5.86 | learning rate: 1.308E-04 | global batch size: 1024 | lm loss: 2.448102E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 174.713 | TFLOPs: 39.06 | +63: iteration 2380/ 5494 | consumed samples: 2437120 | consumed tokens: 4991221760 | elapsed time per iteration (s): 5.66 | learning rate: 1.303E-04 | global batch size: 1024 | lm loss: 2.424037E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.961 | TFLOPs: 40.46 | +63: iteration 2390/ 5494 | consumed samples: 2447360 | consumed tokens: 5012193280 | elapsed time per iteration (s): 5.53 | learning rate: 1.298E-04 | global batch size: 1024 | lm loss: 2.446300E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.249 | TFLOPs: 41.42 | +63: iteration 2400/ 5494 | consumed samples: 2457600 | consumed tokens: 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consumed samples: 2488320 | consumed tokens: 5096079360 | elapsed time per iteration (s): 5.84 | learning rate: 1.278E-04 | global batch size: 1024 | lm loss: 2.414101E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 175.198 | TFLOPs: 39.17 | +63: iteration 2440/ 5494 | consumed samples: 2498560 | consumed tokens: 5117050880 | elapsed time per iteration (s): 5.58 | learning rate: 1.273E-04 | global batch size: 1024 | lm loss: 2.428672E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 183.635 | TFLOPs: 41.05 | +63: iteration 2450/ 5494 | consumed samples: 2508800 | consumed tokens: 5138022400 | elapsed time per iteration (s): 5.50 | learning rate: 1.268E-04 | global batch size: 1024 | lm loss: 2.424636E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 186.350 | TFLOPs: 41.66 | +63: iteration 2460/ 5494 | consumed samples: 2519040 | consumed tokens: 5158993920 | elapsed time per iteration (s): 5.65 | learning rate: 1.263E-04 | global batch size: 1024 | lm loss: 2.407756E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.125 | TFLOPs: 40.49 | +63: iteration 2470/ 5494 | consumed samples: 2529280 | consumed tokens: 5179965440 | elapsed time per iteration (s): 5.76 | learning rate: 1.257E-04 | global batch size: 1024 | lm loss: 2.413894E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.712 | TFLOPs: 39.73 | +63: iteration 2480/ 5494 | consumed samples: 2539520 | consumed tokens: 5200936960 | elapsed time per iteration (s): 5.43 | learning rate: 1.252E-04 | global batch size: 1024 | lm loss: 2.440575E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 188.634 | TFLOPs: 42.17 | +63: iteration 2490/ 5494 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 5.83 | learning rate: 1.247E-04 | global batch size: 1024 | lm loss: 2.407724E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 175.575 | TFLOPs: 39.25 | +63: iteration 2500/ 5494 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 5.77 | learning rate: 1.242E-04 | global batch size: 1024 | lm loss: 2.419824E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.486 | TFLOPs: 39.68 | +63: iteration 2510/ 5494 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 5.83 | learning rate: 1.237E-04 | global batch size: 1024 | lm loss: 2.425478E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 175.654 | TFLOPs: 39.27 | +63: iteration 2520/ 5494 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 5.52 | learning rate: 1.232E-04 | global batch size: 1024 | lm loss: 2.403011E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.520 | TFLOPs: 41.48 | +63: iteration 2530/ 5494 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 5.90 | learning rate: 1.227E-04 | global batch size: 1024 | lm loss: 2.394941E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 173.567 | TFLOPs: 38.80 | +63: iteration 2540/ 5494 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 5.55 | learning rate: 1.222E-04 | global batch size: 1024 | lm loss: 2.402253E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.523 | TFLOPs: 41.25 | +63: iteration 2550/ 5494 | consumed samples: 2611200 | consumed tokens: 5347737600 | elapsed time per iteration (s): 5.41 | learning rate: 1.216E-04 | global batch size: 1024 | lm loss: 2.408228E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.300 | TFLOPs: 42.32 | +63: iteration 2560/ 5494 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 5.54 | learning rate: 1.211E-04 | global batch size: 1024 | lm loss: 2.396873E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.691 | TFLOPs: 41.29 | +63: iteration 2570/ 5494 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 5.77 | learning rate: 1.206E-04 | global batch size: 1024 | lm loss: 2.397542E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.433 | TFLOPs: 39.67 | +63: iteration 2580/ 5494 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 5.54 | learning rate: 1.201E-04 | global batch size: 1024 | lm loss: 2.407163E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.830 | TFLOPs: 41.32 | +63: iteration 2590/ 5494 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 5.79 | learning rate: 1.196E-04 | global batch size: 1024 | lm loss: 2.401608E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 176.821 | TFLOPs: 39.53 | +63: iteration 2600/ 5494 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 5.51 | learning rate: 1.191E-04 | global batch size: 1024 | lm loss: 2.390104E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.742 | TFLOPs: 41.53 | +63: iteration 2610/ 5494 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 5.65 | learning rate: 1.185E-04 | global batch size: 1024 | lm loss: 2.395837E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.128 | TFLOPs: 40.49 | +63: iteration 2620/ 5494 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 5.77 | learning rate: 1.180E-04 | global batch size: 1024 | lm loss: 2.385051E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.605 | TFLOPs: 39.71 | +63: iteration 2630/ 5494 | consumed samples: 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+63: iteration 2660/ 5494 | consumed samples: 2723840 | consumed tokens: 5578424320 | elapsed time per iteration (s): 5.93 | learning rate: 1.159E-04 | global batch size: 1024 | lm loss: 2.368144E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 172.556 | TFLOPs: 38.58 | +63: iteration 2670/ 5494 | consumed samples: 2734080 | consumed tokens: 5599395840 | elapsed time per iteration (s): 5.53 | learning rate: 1.154E-04 | global batch size: 1024 | lm loss: 2.391520E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.215 | TFLOPs: 41.41 | +63: iteration 2680/ 5494 | consumed samples: 2744320 | consumed tokens: 5620367360 | elapsed time per iteration (s): 5.64 | learning rate: 1.149E-04 | global batch size: 1024 | lm loss: 2.395207E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.417 | TFLOPs: 40.56 | +63: iteration 2690/ 5494 | consumed samples: 2754560 | consumed tokens: 5641338880 | elapsed time per iteration (s): 5.44 | learning rate: 1.144E-04 | global batch size: 1024 | lm loss: 2.373984E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 188.064 | TFLOPs: 42.04 | +63: iteration 2700/ 5494 | consumed samples: 2764800 | consumed tokens: 5662310400 | elapsed time per iteration (s): 5.73 | learning rate: 1.139E-04 | global batch size: 1024 | lm loss: 2.355459E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 178.679 | TFLOPs: 39.95 | +63: iteration 2710/ 5494 | consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 6.01 | learning rate: 1.134E-04 | global batch size: 1024 | lm loss: 2.368085E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 170.466 | TFLOPs: 38.11 | +63: iteration 2720/ 5494 | consumed samples: 2785280 | consumed tokens: 5704253440 | elapsed time per iteration (s): 5.54 | learning rate: 1.128E-04 | global batch size: 1024 | lm loss: 2.375288E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.904 | TFLOPs: 41.34 | +63: iteration 2730/ 5494 | consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 5.60 | learning rate: 1.123E-04 | global batch size: 1024 | lm loss: 2.369791E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 182.799 | TFLOPs: 40.87 | +63: iteration 2740/ 5494 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 5.66 | learning rate: 1.118E-04 | global batch size: 1024 | lm loss: 2.357708E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.039 | TFLOPs: 40.47 | +63: iteration 2750/ 5494 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 5.43 | learning rate: 1.113E-04 | global batch size: 1024 | lm loss: 2.368623E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 188.456 | TFLOPs: 42.13 | +63: iteration 2760/ 5494 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 5.63 | learning rate: 1.108E-04 | global batch size: 1024 | lm loss: 2.363576E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 182.018 | TFLOPs: 40.69 | +63: iteration 2770/ 5494 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 5.66 | learning rate: 1.102E-04 | global batch size: 1024 | lm loss: 2.363386E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.763 | TFLOPs: 40.41 | +63: iteration 2780/ 5494 | consumed samples: 2846720 | consumed tokens: 5830082560 | elapsed time per iteration (s): 5.54 | learning rate: 1.097E-04 | global batch size: 1024 | lm loss: 2.373815E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.842 | TFLOPs: 41.32 | +63: iteration 2790/ 5494 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 5.88 | learning rate: 1.092E-04 | global batch size: 1024 | lm loss: 2.355998E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 174.135 | TFLOPs: 38.93 | +63: iteration 2800/ 5494 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 5.52 | learning rate: 1.087E-04 | global batch size: 1024 | lm loss: 2.358995E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.362 | TFLOPs: 41.44 | +63: iteration 2810/ 5494 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 5.54 | learning rate: 1.082E-04 | global batch size: 1024 | lm loss: 2.375492E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.810 | TFLOPs: 41.32 | +63: iteration 2820/ 5494 | consumed samples: 2887680 | consumed tokens: 5913968640 | elapsed time per iteration (s): 5.55 | learning rate: 1.076E-04 | global batch size: 1024 | lm loss: 2.369288E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.357 | TFLOPs: 41.22 | +63: iteration 2830/ 5494 | consumed samples: 2897920 | consumed tokens: 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9.831E-05 | global batch size: 1024 | lm loss: 2.349378E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.075 | TFLOPs: 41.38 | +63: ------------------------------------------------------------------------------------------ +63: valid loss at iteration 3000 | lm loss value: 2.279929E+00 | lm loss PPL: 9.775988E+00 | +63: ------------------------------------------------------------------------------------------ + 0: saving checkpoint at iteration 3000 to checkpoints_8b7 + 0: [2022-11-25 14:33:05,106] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! + 0: [2022-11-25 14:33:05,181] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_8b7/global_step3000/layer_01-model_00-model_states.pt... + 0: [2022-11-25 14:33:05,181] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_8b7/global_step3000/layer_01-model_01-model_states.pt... 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5494 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 5.40 | learning rate: 9.677E-05 | global batch size: 1024 | lm loss: 2.316456E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.703 | TFLOPs: 42.41 | +63: iteration 3040/ 5494 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 5.54 | learning rate: 9.625E-05 | global batch size: 1024 | lm loss: 2.339428E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.725 | TFLOPs: 41.30 | +63: iteration 3050/ 5494 | consumed samples: 3123200 | consumed tokens: 6396313600 | elapsed time per iteration (s): 5.63 | learning rate: 9.574E-05 | global batch size: 1024 | lm loss: 2.311751E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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samples per second: 182.524 | TFLOPs: 40.81 | +63: iteration 3290/ 5494 | consumed samples: 3368960 | consumed tokens: 6899630080 | elapsed time per iteration (s): 5.97 | learning rate: 8.360E-05 | global batch size: 1024 | lm loss: 2.289078E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 171.562 | TFLOPs: 38.36 | +63: iteration 3300/ 5494 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 5.40 | learning rate: 8.310E-05 | global batch size: 1024 | lm loss: 2.293840E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.592 | TFLOPs: 42.39 | +63: iteration 3310/ 5494 | consumed samples: 3389440 | consumed tokens: 6941573120 | elapsed time per iteration (s): 5.63 | learning rate: 8.261E-05 | global batch size: 1024 | lm loss: 2.300018E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped 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TFLOPs: 41.53 | +63: iteration 3490/ 5494 | consumed samples: 3573760 | consumed tokens: 7319060480 | elapsed time per iteration (s): 5.91 | learning rate: 7.386E-05 | global batch size: 1024 | lm loss: 2.295111E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 173.322 | TFLOPs: 38.75 | +63: iteration 3500/ 5494 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 5.41 | learning rate: 7.338E-05 | global batch size: 1024 | lm loss: 2.269073E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.304 | TFLOPs: 42.32 | +63: iteration 3510/ 5494 | consumed samples: 3594240 | consumed tokens: 7361003520 | elapsed time per iteration (s): 5.62 | learning rate: 7.291E-05 | global batch size: 1024 | lm loss: 2.297261E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 182.111 | TFLOPs: 40.71 | +63: iteration 3520/ 5494 | consumed samples: 3604480 | consumed tokens: 7381975040 | elapsed time per iteration (s): 5.77 | learning rate: 7.243E-05 | global batch size: 1024 | lm loss: 2.267759E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.548 | TFLOPs: 39.69 | +63: iteration 3530/ 5494 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 5.52 | learning rate: 7.196E-05 | global batch size: 1024 | lm loss: 2.280539E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.349 | TFLOPs: 41.44 | +63: iteration 3540/ 5494 | consumed samples: 3624960 | consumed tokens: 7423918080 | elapsed time per iteration (s): 5.79 | learning rate: 7.149E-05 | global batch size: 1024 | lm loss: 2.294359E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 176.952 | TFLOPs: 39.56 | +63: iteration 3550/ 5494 | consumed samples: 3635200 | consumed tokens: 7444889600 | elapsed time per iteration (s): 5.65 | learning rate: 7.102E-05 | global batch size: 1024 | lm loss: 2.287841E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.243 | TFLOPs: 40.52 | +63: iteration 3560/ 5494 | consumed samples: 3645440 | consumed tokens: 7465861120 | elapsed time per iteration (s): 5.76 | learning rate: 7.056E-05 | global batch size: 1024 | lm loss: 2.278815E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.673 | TFLOPs: 39.72 | +63: iteration 3570/ 5494 | consumed samples: 3655680 | consumed tokens: 7486832640 | elapsed time per iteration (s): 5.54 | learning rate: 7.009E-05 | global batch size: 1024 | lm loss: 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6.870E-05 | global batch size: 1024 | lm loss: 2.272101E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.840 | TFLOPs: 40.43 | +63: iteration 3610/ 5494 | consumed samples: 3696640 | consumed tokens: 7570718720 | elapsed time per iteration (s): 5.69 | learning rate: 6.824E-05 | global batch size: 1024 | lm loss: 2.255931E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.122 | TFLOPs: 40.27 | +63: iteration 3620/ 5494 | consumed samples: 3706880 | consumed tokens: 7591690240 | elapsed time per iteration (s): 5.74 | learning rate: 6.778E-05 | global batch size: 1024 | lm loss: 2.272362E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 178.451 | TFLOPs: 39.90 | +63: iteration 3630/ 5494 | consumed samples: 3717120 | consumed tokens: 7612661760 | elapsed 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samples per second: 180.981 | TFLOPs: 40.46 | +63: iteration 3720/ 5494 | consumed samples: 3809280 | consumed tokens: 7801405440 | elapsed time per iteration (s): 5.52 | learning rate: 6.326E-05 | global batch size: 1024 | lm loss: 2.257488E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.342 | TFLOPs: 41.44 | +63: iteration 3730/ 5494 | consumed samples: 3819520 | consumed tokens: 7822376960 | elapsed time per iteration (s): 5.69 | learning rate: 6.282E-05 | global batch size: 1024 | lm loss: 2.247926E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 179.939 | TFLOPs: 40.23 | +63: iteration 3740/ 5494 | consumed samples: 3829760 | consumed tokens: 7843348480 | elapsed time per iteration (s): 5.40 | learning rate: 6.237E-05 | global batch size: 1024 | lm loss: 2.240571E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.751 | TFLOPs: 42.42 | +63: iteration 3750/ 5494 | consumed samples: 3840000 | consumed tokens: 7864320000 | elapsed time per iteration (s): 5.74 | learning rate: 6.193E-05 | global batch size: 1024 | lm loss: 2.266223E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 178.338 | TFLOPs: 39.87 | +63: iteration 3760/ 5494 | consumed samples: 3850240 | consumed tokens: 7885291520 | elapsed time per iteration (s): 5.41 | learning rate: 6.149E-05 | global batch size: 1024 | lm loss: 2.269914E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.393 | TFLOPs: 42.34 | +63: iteration 3770/ 5494 | consumed samples: 3860480 | consumed tokens: 7906263040 | elapsed time per iteration (s): 5.64 | learning rate: 6.106E-05 | global batch size: 1024 | lm loss: 2.242963E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.639 | TFLOPs: 40.61 | +63: iteration 3780/ 5494 | consumed samples: 3870720 | consumed tokens: 7927234560 | elapsed time per iteration (s): 5.46 | learning rate: 6.062E-05 | global batch size: 1024 | lm loss: 2.250921E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 187.490 | TFLOPs: 41.92 | +63: iteration 3790/ 5494 | consumed samples: 3880960 | consumed tokens: 7948206080 | elapsed time per iteration (s): 5.93 | learning rate: 6.019E-05 | global batch size: 1024 | lm loss: 2.249605E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 172.743 | TFLOPs: 38.62 | +63: iteration 3800/ 5494 | consumed samples: 3891200 | consumed tokens: 7969177600 | elapsed time per iteration (s): 5.67 | learning rate: 5.976E-05 | global batch size: 1024 | lm loss: 2.258531E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.514 | TFLOPs: 40.36 | +63: iteration 3810/ 5494 | consumed samples: 3901440 | consumed tokens: 7990149120 | elapsed time per iteration (s): 5.51 | learning rate: 5.933E-05 | global batch size: 1024 | lm loss: 2.258613E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.727 | TFLOPs: 41.52 | +63: iteration 3820/ 5494 | consumed samples: 3911680 | consumed tokens: 8011120640 | elapsed time per iteration (s): 5.63 | learning rate: 5.890E-05 | global batch size: 1024 | lm loss: 2.255753E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.846 | TFLOPs: 40.65 | +63: iteration 3830/ 5494 | consumed samples: 3921920 | consumed tokens: 8032092160 | elapsed time per iteration (s): 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consumed samples: 3983360 | consumed tokens: 8157921280 | elapsed time per iteration (s): 6.13 | learning rate: 5.594E-05 | global batch size: 1024 | lm loss: 2.253806E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 167.153 | TFLOPs: 37.37 | +63: iteration 3900/ 5494 | consumed samples: 3993600 | consumed tokens: 8178892800 | elapsed time per iteration (s): 5.64 | learning rate: 5.553E-05 | global batch size: 1024 | lm loss: 2.252903E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.651 | TFLOPs: 40.61 | +63: iteration 3910/ 5494 | consumed samples: 4003840 | consumed tokens: 8199864320 | elapsed time per iteration (s): 6.01 | learning rate: 5.512E-05 | global batch size: 1024 | lm loss: 2.252629E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 170.384 | 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checkpoints_8b7/global_step4000/bf16_zero_pp_rank_105_mp_rank_02_optim_states.pt +58: [2022-11-25 16:09:33,318] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! + 9: [2022-11-25 16:09:33,318] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. + 9: [2022-11-25 16:09:33,318] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt + 9: [2022-11-25 16:09:33,318] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! +34: [2022-11-25 16:09:33,319] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_9_mp_rank_02_optim_states.pt. +34: [2022-11-25 16:09:33,319] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_9_mp_rank_02_optim_states.pt +34: [2022-11-25 16:09:33,319] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! +43: [2022-11-25 16:09:33,320] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_46_mp_rank_03_optim_states.pt. +43: [2022-11-25 16:09:33,320] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_46_mp_rank_03_optim_states.pt +43: [2022-11-25 16:09:33,320] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! +47: [2022-11-25 16:09:33,321] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_62_mp_rank_02_optim_states.pt. +51: [2022-11-25 16:09:33,322] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_76_mp_rank_02_optim_states.pt. +51: [2022-11-25 16:09:33,322] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_76_mp_rank_02_optim_states.pt +51: [2022-11-25 16:09:33,322] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! +35: [2022-11-25 16:09:33,325] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_13_mp_rank_02_optim_states.pt. +35: [2022-11-25 16:09:33,325] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_13_mp_rank_02_optim_states.pt +35: [2022-11-25 16:09:33,325] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! + 7: [2022-11-25 16:09:33,326] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. +36: [2022-11-25 16:09:33,326] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_19_mp_rank_02_optim_states.pt. + 7: [2022-11-25 16:09:33,326] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt +36: [2022-11-25 16:09:33,326] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_19_mp_rank_02_optim_states.pt +36: [2022-11-25 16:09:33,326] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! + 7: [2022-11-25 16:09:33,326] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! +33: [2022-11-25 16:09:33,326] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_6_mp_rank_02_optim_states.pt. +33: [2022-11-25 16:09:33,327] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_6_mp_rank_02_optim_states.pt +33: [2022-11-25 16:09:33,327] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! +47: [2022-11-25 16:09:33,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_62_mp_rank_02_optim_states.pt +47: [2022-11-25 16:09:33,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! + 9: [2022-11-25 16:09:33,337] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. + 9: [2022-11-25 16:09:33,337] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt + 9: [2022-11-25 16:09:33,337] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! +44: [2022-11-25 16:09:33,432] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_48_mp_rank_03_optim_states.pt. +44: [2022-11-25 16:09:33,432] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step4000/bf16_zero_pp_rank_48_mp_rank_03_optim_states.pt +44: [2022-11-25 16:09:33,432] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! + 0: successfully saved checkpoint at iteration 4000 to checkpoints_8b7 +63: time (ms) | save-checkpoint: 6997.07 +63: iteration 4010/ 5494 | consumed samples: 4106240 | consumed tokens: 8409579520 | elapsed time per iteration (s): 6.37 | learning rate: 5.109E-05 | global batch size: 1024 | lm loss: 2.244633E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 160.705 | TFLOPs: 35.93 | +63: iteration 4020/ 5494 | consumed samples: 4116480 | consumed tokens: 8430551040 | elapsed time per iteration (s): 5.67 | learning rate: 5.070E-05 | global batch size: 1024 | lm loss: 2.240937E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.658 | TFLOPs: 40.39 | +63: iteration 4030/ 5494 | consumed samples: 4126720 | consumed tokens: 8451522560 | elapsed time per iteration (s): 5.66 | learning rate: 5.031E-05 | global batch size: 1024 | lm loss: 2.244235E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.046 | TFLOPs: 40.48 | +63: iteration 4040/ 5494 | consumed samples: 4136960 | consumed tokens: 8472494080 | elapsed time per iteration (s): 5.40 | learning rate: 4.992E-05 | global batch size: 1024 | lm loss: 2.231983E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.615 | TFLOPs: 42.39 | +63: iteration 4050/ 5494 | consumed samples: 4147200 | consumed tokens: 8493465600 | elapsed time per iteration (s): 5.74 | learning rate: 4.953E-05 | global batch size: 1024 | lm loss: 2.232835E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 178.531 | TFLOPs: 39.91 | +63: iteration 4060/ 5494 | consumed samples: 4157440 | consumed tokens: 8514437120 | elapsed time per iteration (s): 5.54 | learning rate: 4.915E-05 | global batch size: 1024 | lm loss: 2.226386E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 184.884 | TFLOPs: 41.33 | +63: iteration 4070/ 5494 | consumed samples: 4167680 | consumed tokens: 8535408640 | elapsed time per iteration (s): 5.49 | learning rate: 4.877E-05 | global batch size: 1024 | lm loss: 2.229890E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 186.681 | TFLOPs: 41.74 | +63: iteration 4080/ 5494 | consumed samples: 4177920 | consumed tokens: 8556380160 | elapsed time per iteration (s): 5.74 | learning rate: 4.839E-05 | global batch size: 1024 | lm loss: 2.243035E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 178.447 | TFLOPs: 39.89 | +63: iteration 4090/ 5494 | consumed samples: 4188160 | consumed tokens: 8577351680 | elapsed time per iteration (s): 5.81 | learning rate: 4.801E-05 | global batch size: 1024 | lm loss: 2.235854E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 176.181 | TFLOPs: 39.39 | +63: iteration 4100/ 5494 | consumed samples: 4198400 | 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5.78 | learning rate: 4.157E-05 | global batch size: 1024 | lm loss: 2.219238E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.294 | TFLOPs: 39.64 | +63: iteration 4280/ 5494 | consumed samples: 4382720 | consumed tokens: 8975810560 | elapsed time per iteration (s): 5.50 | learning rate: 4.124E-05 | global batch size: 1024 | lm loss: 2.229868E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 186.059 | TFLOPs: 41.60 | +63: iteration 4290/ 5494 | consumed samples: 4392960 | consumed tokens: 8996782080 | elapsed time per iteration (s): 5.74 | learning rate: 4.090E-05 | global batch size: 1024 | lm loss: 2.215840E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 178.289 | TFLOPs: 39.86 | +63: iteration 4300/ 5494 | consumed samples: 4403200 | consumed tokens: 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time per iteration (s): 5.74 | learning rate: 2.474E-05 | global batch size: 1024 | lm loss: 2.181737E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 178.245 | TFLOPs: 39.85 | +63: iteration 4940/ 5494 | consumed samples: 5058560 | consumed tokens: 10359930880 | elapsed time per iteration (s): 5.51 | learning rate: 2.457E-05 | global batch size: 1024 | lm loss: 2.198078E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 185.875 | TFLOPs: 41.56 | +63: iteration 4950/ 5494 | consumed samples: 5068800 | consumed tokens: 10380902400 | elapsed time per iteration (s): 5.62 | learning rate: 2.441E-05 | global batch size: 1024 | lm loss: 2.190603E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 182.054 | TFLOPs: 40.70 | +63: iteration 4960/ 5494 | consumed samples: 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+63: iteration 4990/ 5494 | consumed samples: 5109760 | consumed tokens: 10464788480 | elapsed time per iteration (s): 5.58 | learning rate: 2.379E-05 | global batch size: 1024 | lm loss: 2.179170E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 183.391 | TFLOPs: 41.00 | +63: iteration 5000/ 5494 | consumed samples: 5120000 | consumed tokens: 10485760000 | elapsed time per iteration (s): 5.64 | learning rate: 2.364E-05 | global batch size: 1024 | lm loss: 2.211388E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.571 | TFLOPs: 40.59 | +63: ------------------------------------------------------------------------------------------ +63: valid loss at iteration 5000 | lm loss value: 2.128354E+00 | lm loss PPL: 8.401028E+00 | +63: ------------------------------------------------------------------------------------------ + 0: saving 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checkpoints_8b7/global_step5000/bf16_zero_pp_rank_16_mp_rank_02_optim_states.pt +36: [2022-11-25 17:45:25,979] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! +54: [2022-11-25 17:45:25,980] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_89_mp_rank_02_optim_states.pt. +54: [2022-11-25 17:45:25,980] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_89_mp_rank_02_optim_states.pt +54: [2022-11-25 17:45:25,980] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! +41: [2022-11-25 17:45:25,981] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_36_mp_rank_02_optim_states.pt. +41: [2022-11-25 17:45:25,981] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_36_mp_rank_02_optim_states.pt +59: [2022-11-25 17:45:25,981] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_110_mp_rank_03_optim_states.pt. +41: [2022-11-25 17:45:25,981] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! +59: [2022-11-25 17:45:25,981] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_110_mp_rank_03_optim_states.pt +59: [2022-11-25 17:45:25,981] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! +52: [2022-11-25 17:45:25,981] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_83_mp_rank_02_optim_states.pt. +52: [2022-11-25 17:45:25,982] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_83_mp_rank_02_optim_states.pt +52: [2022-11-25 17:45:25,982] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! +59: [2022-11-25 17:45:25,982] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_109_mp_rank_02_optim_states.pt. +59: [2022-11-25 17:45:25,982] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_109_mp_rank_02_optim_states.pt +59: [2022-11-25 17:45:25,982] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! +54: [2022-11-25 17:45:25,998] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_90_mp_rank_02_optim_states.pt. +54: [2022-11-25 17:45:25,998] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step5000/bf16_zero_pp_rank_90_mp_rank_02_optim_states.pt +54: [2022-11-25 17:45:25,998] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! + 0: successfully saved checkpoint at iteration 5000 to checkpoints_8b7 +63: time (ms) | save-checkpoint: 6905.83 +63: iteration 5010/ 5494 | consumed samples: 5130240 | consumed tokens: 10506731520 | elapsed time per iteration (s): 6.59 | learning rate: 2.350E-05 | global batch size: 1024 | lm loss: 2.193453E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 155.391 | TFLOPs: 34.74 | +63: iteration 5020/ 5494 | consumed samples: 5140480 | consumed tokens: 10527703040 | elapsed time per iteration (s): 5.66 | learning rate: 2.335E-05 | global batch size: 1024 | lm loss: 2.181195E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.792 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nan iterations: 0 | samples per second: 182.578 | TFLOPs: 40.82 | +63: iteration 5060/ 5494 | consumed samples: 5181440 | consumed tokens: 10611589120 | elapsed time per iteration (s): 5.67 | learning rate: 2.281E-05 | global batch size: 1024 | lm loss: 2.174002E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 180.599 | TFLOPs: 40.38 | +63: iteration 5070/ 5494 | consumed samples: 5191680 | consumed tokens: 10632560640 | elapsed time per iteration (s): 5.38 | learning rate: 2.269E-05 | global batch size: 1024 | lm loss: 2.184715E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 190.202 | TFLOPs: 42.52 | +63: iteration 5080/ 5494 | consumed samples: 5201920 | consumed tokens: 10653532160 | elapsed time per iteration (s): 5.62 | learning rate: 2.256E-05 | global batch size: 1024 | lm loss: 2.191732E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 182.160 | TFLOPs: 40.73 | +63: iteration 5090/ 5494 | consumed samples: 5212160 | consumed tokens: 10674503680 | elapsed time per iteration (s): 5.91 | learning rate: 2.244E-05 | global batch size: 1024 | lm loss: 2.183935E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 173.288 | TFLOPs: 38.74 | +63: iteration 5100/ 5494 | consumed samples: 5222400 | consumed tokens: 10695475200 | elapsed time per iteration (s): 5.41 | learning rate: 2.232E-05 | global batch size: 1024 | lm loss: 2.186187E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.180 | TFLOPs: 42.29 | +63: iteration 5110/ 5494 | consumed samples: 5232640 | consumed tokens: 10716446720 | elapsed time per iteration (s): 5.42 | learning rate: 2.221E-05 | global batch size: 1024 | lm loss: 2.191594E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.064 | TFLOPs: 42.27 | +63: iteration 5120/ 5494 | consumed samples: 5242880 | consumed tokens: 10737418240 | elapsed time per iteration (s): 5.59 | learning rate: 2.209E-05 | global batch size: 1024 | lm loss: 2.186345E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 183.028 | TFLOPs: 40.92 | +63: iteration 5130/ 5494 | consumed samples: 5253120 | consumed tokens: 10758389760 | elapsed time per iteration (s): 5.77 | learning rate: 2.198E-05 | global batch size: 1024 | lm loss: 2.202552E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 177.581 | TFLOPs: 39.70 | +63: iteration 5140/ 5494 | consumed samples: 5263360 | consumed tokens: 10779361280 | elapsed time per iteration (s): 5.64 | learning rate: 2.188E-05 | global batch size: 1024 | lm loss: 2.190931E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.477 | TFLOPs: 40.57 | +63: iteration 5150/ 5494 | consumed samples: 5273600 | consumed tokens: 10800332800 | elapsed time per iteration (s): 5.71 | learning rate: 2.177E-05 | global batch size: 1024 | lm loss: 2.175324E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 179.248 | TFLOPs: 40.07 | +63: iteration 5160/ 5494 | consumed samples: 5283840 | consumed tokens: 10821304320 | elapsed time per iteration (s): 5.63 | learning rate: 2.167E-05 | global batch size: 1024 | lm loss: 2.187761E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.968 | TFLOPs: 40.68 | +63: iteration 5170/ 5494 | consumed samples: 5294080 | consumed tokens: 10842275840 | elapsed time per iteration (s): 5.74 | learning rate: 2.157E-05 | global batch size: 1024 | lm loss: 2.191279E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 178.384 | TFLOPs: 39.88 | +63: iteration 5180/ 5494 | consumed samples: 5304320 | consumed tokens: 10863247360 | elapsed time per iteration (s): 5.42 | learning rate: 2.148E-05 | global batch size: 1024 | lm loss: 2.180054E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 188.964 | TFLOPs: 42.25 | +63: iteration 5190/ 5494 | consumed samples: 5314560 | consumed tokens: 10884218880 | elapsed time per iteration (s): 5.40 | learning rate: 2.138E-05 | global batch size: 1024 | lm loss: 2.186482E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.599 | TFLOPs: 42.39 | +63: iteration 5200/ 5494 | consumed samples: 5324800 | consumed tokens: 10905190400 | elapsed time per iteration (s): 5.41 | learning rate: 2.130E-05 | global batch size: 1024 | lm loss: 2.193873E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.438 | TFLOPs: 42.35 | +63: iteration 5210/ 5494 | consumed samples: 5335040 | consumed tokens: 10926161920 | elapsed time per iteration (s): 5.62 | learning rate: 2.121E-05 | global batch size: 1024 | lm loss: 2.176751E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 182.169 | TFLOPs: 40.73 | +63: iteration 5220/ 5494 | consumed samples: 5345280 | consumed tokens: 10947133440 | elapsed time per iteration (s): 5.49 | learning rate: 2.113E-05 | global batch size: 1024 | lm loss: 2.194238E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 186.440 | TFLOPs: 41.68 | 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second: 187.147 | TFLOPs: 41.84 | +63: iteration 5460/ 5494 | consumed samples: 5591040 | consumed tokens: 11450449920 | elapsed time per iteration (s): 5.39 | learning rate: 2.002E-05 | global batch size: 1024 | lm loss: 2.182641E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 189.809 | TFLOPs: 42.44 | +63: iteration 5470/ 5494 | consumed samples: 5601280 | consumed tokens: 11471421440 | elapsed time per iteration (s): 5.42 | learning rate: 2.001E-05 | global batch size: 1024 | lm loss: 2.193220E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 188.830 | TFLOPs: 42.22 | +63: iteration 5480/ 5494 | consumed samples: 5611520 | consumed tokens: 11492392960 | elapsed time per iteration (s): 5.66 | learning rate: 2.000E-05 | global batch size: 1024 | lm loss: 2.176518E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 181.003 | TFLOPs: 40.47 | +63: iteration 5490/ 5494 | consumed samples: 5621760 | consumed tokens: 11513364480 | elapsed time per iteration (s): 5.42 | learning rate: 2.000E-05 | global batch size: 1024 | lm loss: 2.191150E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 188.864 | TFLOPs: 42.22 | + 0: [after training is done] datetime: 2022-11-25 18:31:21 + 0: saving checkpoint at iteration 5494 to checkpoints_8b7 +63: ------------------------------------------------------------------------------------------------------------ +63: valid loss at the end of training for val data | lm loss value: 2.142454E+00 | lm loss PPL: 8.520322E+00 | +63: ------------------------------------------------------------------------------------------------------------ + 0: [2022-11-25 18:31:23,200] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5494 is 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checkpoints_8b7/global_step5494/bf16_zero_pp_rank_91_mp_rank_02_optim_states.pt +54: [2022-11-25 18:31:29,737] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5494 is ready now! +37: [2022-11-25 18:31:29,739] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5494/bf16_zero_pp_rank_22_mp_rank_02_optim_states.pt. +37: [2022-11-25 18:31:29,739] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step5494/bf16_zero_pp_rank_22_mp_rank_02_optim_states.pt +37: [2022-11-25 18:31:29,739] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5494 is ready now! +34: [2022-11-25 18:31:29,739] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5494/bf16_zero_pp_rank_11_mp_rank_02_optim_states.pt. +34: [2022-11-25 18:31:29,739] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_8b7/global_step5494/bf16_zero_pp_rank_26_mp_rank_03_optim_states.pt +38: [2022-11-25 18:31:29,752] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5494 is ready now! +48: [2022-11-25 18:31:29,753] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5494/bf16_zero_pp_rank_64_mp_rank_03_optim_states.pt. +48: [2022-11-25 18:31:29,753] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step5494/bf16_zero_pp_rank_64_mp_rank_03_optim_states.pt +48: [2022-11-25 18:31:29,753] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5494 is ready now! +48: [2022-11-25 18:31:29,753] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5494/bf16_zero_pp_rank_67_mp_rank_03_optim_states.pt. +48: [2022-11-25 18:31:29,753] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_8b7/global_step5494/bf16_zero_pp_rank_119_mp_rank_00_optim_states.pt +29: [2022-11-25 18:31:29,767] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5494 is ready now! +63: [2022-11-25 18:31:29,795] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5494/bf16_zero_pp_rank_125_mp_rank_02_optim_states.pt. +63: [2022-11-25 18:31:29,795] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_8b7/global_step5494/bf16_zero_pp_rank_125_mp_rank_02_optim_states.pt +63: [2022-11-25 18:31:29,795] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5494 is ready now! +59: [2022-11-25 18:31:29,924] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_8b7/global_step5494/bf16_zero_pp_rank_110_mp_rank_02_optim_states.pt. +59: [2022-11-25 18:31:29,924] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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