job-25031358-head.out

+ TRAINER=pretrain
+ SETUP=for-newvocab
++ cd pya0
++ pwd
++ git rev-parse HEAD
+ CODE_VER='/home/w32zhong/projects/rrg-jimmylin/w32zhong/pya0
8f207c0036a9f81f91e26f7ecedcfa84025ae680'
+ COMMAND='/var/spool/slurmd/job25031358/slurm_script pretrain for-newvocab'
+ EPOCHS=40
+ TEST_CYCLE=100
+ case $TRAINER-${SETUP} in
+ DEV_BSIZE=8
+ SAVE_FOLD=10
+ DATA_VER=arjmPWtGwzKrkmR
+ START_POINT=bert-base-uncased
+ TOK_CKPOINT=bert-tokenizer
+ SHARDS_LIST=shards-for-newvocab.txt
+ TEST_FILE=test.txt
+ EXTRA_DAT=mse-aops-2021-vocab.pkl
+ EXTRA_ARG=
+ DATA_DIR=data.arjmPWtGwzKrkmR
+ set -e
+ '[' '!' -e data.arjmPWtGwzKrkmR ']'
+ set +e
++ cat /var/spool/slurmd/job25031358/slurm_script
++ grep -Po '(?<=SBATCH --nodes=)[0-9]+'
+ N_NODE=4
++ cat /var/spool/slurmd/job25031358/slurm_script
++ grep -Po '(?<=SBATCH --gres=gpu:)[0-9]+'
+ N_GPUS=2
+ export NCCL_BLOCKING_WAIT=1
+ NCCL_BLOCKING_WAIT=1
+ export SLURM_ACCOUNT=def-jimmylin
+ SLURM_ACCOUNT=def-jimmylin
+ export SBATCH_ACCOUNT=def-jimmylin
+ SBATCH_ACCOUNT=def-jimmylin
+ export SALLOC_ACCOUNT=def-jimmylin
+ SALLOC_ACCOUNT=def-jimmylin
+ which srun
/opt/software/slurm/bin/srun
++ hostname
+ srun --unbuffered python ./pya0/utils/transformer.py pretrain data.arjmPWtGwzKrkmR/bert-base-uncased data.arjmPWtGwzKrkmR/bert-tokenizer data.arjmPWtGwzKrkmR/mse-aops-2021-vocab.pkl --test_file data.arjmPWtGwzKrkmR/test.txt --test_cycle 100 --shards_list data.arjmPWtGwzKrkmR/shards-for-newvocab.txt --cluster tcp://blg4302.int.ets1.calculquebec.ca:8912 --batch_size 64 --save_fold 10 --epochs 40
Loading model data.arjmPWtGwzKrkmR/bert-base-uncased...
{
  "_name_or_path": "data.arjmPWtGwzKrkmR/bert-base-uncased",
  "add_cross_attention": false,
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  "attention_probs_dropout_prob": 0.1,
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  "forced_eos_token_id": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "is_decoder": false,
  "is_encoder_decoder": false,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1
  },
  "layer_norm_eps": 1e-12,
  "length_penalty": 1.0,
  "max_length": 20,
  "max_position_embeddings": 512,
  "min_length": 0,
  "model_type": "bert",
  "no_repeat_ngram_size": 0,
  "num_attention_heads": 12,
  "num_beam_groups": 1,
  "num_beams": 1,
  "num_hidden_layers": 12,
  "num_return_sequences": 1,
  "output_attentions": false,
  "output_hidden_states": false,
  "output_scores": false,
  "pad_token_id": 0,
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  "prefix": null,
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  "pruned_heads": {},
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  "repetition_penalty": 1.0,
  "return_dict": true,
  "return_dict_in_generate": false,
  "sep_token_id": null,
  "task_specific_params": null,
  "temperature": 1.0,
  "tie_encoder_decoder": false,
  "tie_word_embeddings": true,
  "tokenizer_class": null,
  "top_k": 50,
  "top_p": 1.0,
  "torch_dtype": null,
  "torchscript": false,
  "transformers_version": "4.9.2",
  "type_vocab_size": 2,
  "use_bfloat16": false,
  "use_cache": true,
  "vocab_size": 30522
}

Before loading new vocabulary: 30522
After loading new vocabulary: 31061
Resize model embedding and save new tokenizer ...
Invoke training ...
[caller] pretrain
[node#3 rank#6] Training on device cuda:0
[node#3 rank#6] 2 x Tesla V100-SXM2-16GB: 0%
[node#3 rank#7] Training on device cuda:1
[node#3 rank#7] 2 x Tesla V100-SXM2-16GB: 5%
[node#3 rank#6] Initialized process group ...
[node#3 rank#7] Initialized process group ...
Loading model data.arjmPWtGwzKrkmR/bert-base-uncased...
Loading model data.arjmPWtGwzKrkmR/bert-base-uncased...
Loading model data.arjmPWtGwzKrkmR/bert-base-uncased...
{
  "_name_or_path": "data.arjmPWtGwzKrkmR/bert-base-uncased",
  "add_cross_attention": false,
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    "BertForPreTraining"
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  "attention_probs_dropout_prob": 0.1,
  "bad_words_ids": null,
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  "chunk_size_feed_forward": 0,
  "decoder_start_token_id": null,
  "diversity_penalty": 0.0,
  "do_sample": false,
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  "encoder_no_repeat_ngram_size": 0,
  "eos_token_id": null,
  "finetuning_task": null,
  "forced_bos_token_id": null,
  "forced_eos_token_id": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1"
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  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "is_decoder": false,
  "is_encoder_decoder": false,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1
  },
  "layer_norm_eps": 1e-12,
  "length_penalty": 1.0,
  "max_length": 20,
  "max_position_embeddings": 512,
  "min_length": 0,
  "model_type": "bert",
  "no_repeat_ngram_size": 0,
  "num_attention_heads": 12,
  "num_beam_groups": 1,
  "num_beams": 1,
  "num_hidden_layers": 12,
  "num_return_sequences": 1,
  "output_attentions": false,
  "output_hidden_states": false,
  "output_scores": false,
  "pad_token_id": 0,
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  "prefix": null,
  "problem_type": null,
  "pruned_heads": {},
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  "repetition_penalty": 1.0,
  "return_dict": true,
  "return_dict_in_generate": false,
  "sep_token_id": null,
  "task_specific_params": null,
  "temperature": 1.0,
  "tie_encoder_decoder": false,
  "tie_word_embeddings": true,
  "tokenizer_class": null,
  "top_k": 50,
  "top_p": 1.0,
  "torch_dtype": null,
  "torchscript": false,
  "transformers_version": "4.9.2",
  "type_vocab_size": 2,
  "use_bfloat16": false,
  "use_cache": true,
  "vocab_size": 30522
}

{
  "_name_or_path": "data.arjmPWtGwzKrkmR/bert-base-uncased",
  "add_cross_attention": false,
  "architectures": [
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  "attention_probs_dropout_prob": 0.1,
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  "forced_eos_token_id": null,
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    "LABEL_1": 1
  },
  "layer_norm_eps": 1e-12,
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  "num_return_sequences": 1,
  "output_attentions": false,
  "output_hidden_states": false,
  "output_scores": false,
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  "repetition_penalty": 1.0,
  "return_dict": true,
  "return_dict_in_generate": false,
  "sep_token_id": null,
  "task_specific_params": null,
  "temperature": 1.0,
  "tie_encoder_decoder": false,
  "tie_word_embeddings": true,
  "tokenizer_class": null,
  "top_k": 50,
  "top_p": 1.0,
  "torch_dtype": null,
  "torchscript": false,
  "transformers_version": "4.9.2",
  "type_vocab_size": 2,
  "use_bfloat16": false,
  "use_cache": true,
  "vocab_size": 30522
}

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  "_name_or_path": "data.arjmPWtGwzKrkmR/bert-base-uncased",
  "add_cross_attention": false,
  "architectures": [
    "BertForPreTraining"
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  "attention_probs_dropout_prob": 0.1,
  "bad_words_ids": null,
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  },
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  "output_scores": false,
  "pad_token_id": 0,
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}

Before loading new vocabulary: 30522
Before loading new vocabulary: 30522
After loading new vocabulary: 31061
Resize model embedding and save new tokenizer ...
Before loading new vocabulary: 30522
After loading new vocabulary: 31061
Resize model embedding and save new tokenizer ...
After loading new vocabulary: 31061
Resize model embedding and save new tokenizer ...
Invoke training ...
Invoke training ...
Invoke training ...
[caller] pretrain
[caller] pretrain
[caller] pretrain
[node#0 rank#0] Training on device cuda:0
[node#2 rank#4] Training on device cuda:0
[node#0 rank#0] 2 x Tesla V100-SXM2-16GB: 0%
[node#2 rank#4] 2 x Tesla V100-SXM2-16GB: 0%
[node#1 rank#2] Training on device cuda:0
[node#1 rank#2] 2 x Tesla V100-SXM2-16GB: 0%
[node#0 rank#1] Training on device cuda:1
[node#2 rank#5] Training on device cuda:1
[node#0 rank#1] 2 x Tesla V100-SXM2-16GB: 2%
[node#2 rank#5] 2 x Tesla V100-SXM2-16GB: 2%
[node#1 rank#3] Training on device cuda:1
[node#1 rank#3] 2 x Tesla V100-SXM2-16GB: 2%
[node#2 rank#4] Initialized process group ...
[node#0 rank#0] Initialized process group ...
[node#1 rank#2] Initialized process group ...
[node#0 rank#1] Initialized process group ...
[node#2 rank#5] Initialized process group ...
[node#1 rank#3] Initialized process group ...
[node#0 rank#0] Enter Torch DDP.
[W ProcessGroupNCCL.cpp:1569] Rank 0 using best-guess GPU 0 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect.Specify device_ids in barrier() to force use of a particular device.
[node#2 rank#4] Enter Torch DDP.
[node#0 rank#1] Enter Torch DDP.
[W ProcessGroupNCCL.cpp:1569] Rank 1 using best-guess GPU 1 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect.Specify device_ids in barrier() to force use of a particular device.
[W ProcessGroupNCCL.cpp:1569] Rank 4 using best-guess GPU 0 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect.Specify device_ids in barrier() to force use of a particular device.
[node#1 rank#3] Enter Torch DDP.
[W ProcessGroupNCCL.cpp:1569] Rank 3 using best-guess GPU 1 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect.Specify device_ids in barrier() to force use of a particular device.
[node#3 rank#7] Enter Torch DDP.
[W ProcessGroupNCCL.cpp:1569] Rank 7 using best-guess GPU 1 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect.Specify device_ids in barrier() to force use of a particular device.
[node#2 rank#5] Enter Torch DDP.
[W ProcessGroupNCCL.cpp:1569] Rank 5 using best-guess GPU 1 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect.Specify device_ids in barrier() to force use of a particular device.
[node#3 rank#6] Enter Torch DDP.
[W ProcessGroupNCCL.cpp:1569] Rank 6 using best-guess GPU 0 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect.Specify device_ids in barrier() to force use of a particular device.
[node#1 rank#2] Enter Torch DDP.
[W ProcessGroupNCCL.cpp:1569] Rank 2 using best-guess GPU 0 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect.Specify device_ids in barrier() to force use of a particular device.
AdamW (
Parameter Group 0
    betas: (0.9, 0.999)
    correct_bias: True
    eps: 1e-06
    lr: 1e-06
    weight_decay: 0.01
)
AdamW (
Parameter Group 0
    betas: (0.9, 0.999)
    correct_bias: True
    eps: 1e-06
    lr: 1e-06
    weight_decay: 0.01
)
AdamW (
Parameter Group 0
    betas: (0.9, 0.999)
    correct_bias: True
    eps: 1e-06
    lr: 1e-06
    weight_decay: 0.01
)
AdamW (
Parameter Group 0
    betas: (0.9, 0.999)
    correct_bias: True
    eps: 1e-06
    lr: 1e-06
    weight_decay: 0.01
)
AdamW (
Parameter Group 0
    betas: (0.9, 0.999)
    correct_bias: True
    eps: 1e-06
    lr: 1e-06
    weight_decay: 0.01
)
[node#3 rank#7] Shards: ['data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7074912', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7517094', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7959276', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8401458', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8843640']
[node#3 rank#7] Start training at: (0, 0, -1)
AdamW (
Parameter Group 0
    betas: (0.9, 0.999)
    correct_bias: True
    eps: 1e-06
    lr: 1e-06
    weight_decay: 0.01
)
Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8)
[node#3 rank#6] Shards: ['data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7074912', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7517094', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7959276', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8401458', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8843640']
[node#3 rank#6] Start training at: (0, 0, -1)
[node#3 rank#7] Loading shard data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730 ...
AdamW (
Parameter Group 0
    betas: (0.9, 0.999)
    correct_bias: True
    eps: 1e-06
    lr: 1e-06
    weight_decay: 0.01
)
AdamW (
Parameter Group 0
    betas: (0.9, 0.999)
    correct_bias: True
    eps: 1e-06
    lr: 1e-06
    weight_decay: 0.01
)
[node#1 rank#2] Shards: ['data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7074912', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7517094', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7959276', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8401458', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8843640']
[node#1 rank#2] Start training at: (0, 0, -1)
Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8)
[node#3 rank#6] Loading shard data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730 ...
[node#1 rank#3] Shards: ['data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7074912', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7517094', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7959276', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8401458', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8843640']
[node#1 rank#3] Start training at: (0, 0, -1)
[node#2 rank#4] Shards: ['data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7074912', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7517094', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7959276', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8401458', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8843640']
[node#2 rank#4] Start training at: (0, 0, -1)
[node#2 rank#5] Shards: ['data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7074912', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7517094', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7959276', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8401458', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8843640']
[node#2 rank#5] Start training at: (0, 0, -1)
Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8)
Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8)
[node#2 rank#4] Loading shard data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730 ...
[node#2 rank#5] Loading shard data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730 ...
Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8)
Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8)
[node#1 rank#3] Loading shard data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730 ...
[node#1 rank#2] Loading shard data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730 ...
[node#0 rank#1] Shards: ['data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.6632730', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7074912', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7517094', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.7959276', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8401458', 'data.arjmPWtGwzKrkmR/mse-aops-2021-data.pkl.pairs.8843640']
[node#0 rank#1] Start training at: (0, 0, -1)