|
+ 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, |
|
"architectures": [ |
|
"BertForPreTraining" |
|
], |
|
"attention_probs_dropout_prob": 0.1, |
|
"bad_words_ids": null, |
|
"bos_token_id": null, |
|
"chunk_size_feed_forward": 0, |
|
"decoder_start_token_id": null, |
|
"diversity_penalty": 0.0, |
|
"do_sample": false, |
|
"early_stopping": false, |
|
"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" |
|
}, |
|
"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, |
|
"position_embedding_type": "absolute", |
|
"prefix": null, |
|
"problem_type": null, |
|
"pruned_heads": {}, |
|
"remove_invalid_values": false, |
|
"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 |
|
[node |
|
[node |
|
[node |
|
[node |
|
[node |
|
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, |
|
"architectures": [ |
|
"BertForPreTraining" |
|
], |
|
"attention_probs_dropout_prob": 0.1, |
|
"bad_words_ids": null, |
|
"bos_token_id": null, |
|
"chunk_size_feed_forward": 0, |
|
"decoder_start_token_id": null, |
|
"diversity_penalty": 0.0, |
|
"do_sample": false, |
|
"early_stopping": false, |
|
"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" |
|
}, |
|
"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, |
|
"position_embedding_type": "absolute", |
|
"prefix": null, |
|
"problem_type": null, |
|
"pruned_heads": {}, |
|
"remove_invalid_values": false, |
|
"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": [ |
|
"BertForPreTraining" |
|
], |
|
"attention_probs_dropout_prob": 0.1, |
|
"bad_words_ids": null, |
|
"bos_token_id": null, |
|
"chunk_size_feed_forward": 0, |
|
"decoder_start_token_id": null, |
|
"diversity_penalty": 0.0, |
|
"do_sample": false, |
|
"early_stopping": false, |
|
"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" |
|
}, |
|
"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, |
|
"position_embedding_type": "absolute", |
|
"prefix": null, |
|
"problem_type": null, |
|
"pruned_heads": {}, |
|
"remove_invalid_values": false, |
|
"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": [ |
|
"BertForPreTraining" |
|
], |
|
"attention_probs_dropout_prob": 0.1, |
|
"bad_words_ids": null, |
|
"bos_token_id": null, |
|
"chunk_size_feed_forward": 0, |
|
"decoder_start_token_id": null, |
|
"diversity_penalty": 0.0, |
|
"do_sample": false, |
|
"early_stopping": false, |
|
"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" |
|
}, |
|
"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, |
|
"position_embedding_type": "absolute", |
|
"prefix": null, |
|
"problem_type": null, |
|
"pruned_heads": {}, |
|
"remove_invalid_values": false, |
|
"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 |
|
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 |
|
[node |
|
[node |
|
[node |
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[node |
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[node |
|
[node |
|
[node |
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[node |
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[node |
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[node |
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[node |
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[node |
|
[node |
|
[node |
|
[node |
|
[node |
|
[node |
|
[node |
|
[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 |
|
[node |
|
[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 |
|
[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 |
|
[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 |
|
[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 |
|
[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 |
|
[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 |
|
[node |
|
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 |
|
[node |
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[node |
|
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 |
|
[node |
|
Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8) |
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[node |
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[node |
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[node |
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[node |
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[node |
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[node |
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[node |
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Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8) |
|
Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8) |
|
[node |
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[node |
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Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8) |
|
Loading test data: data.arjmPWtGwzKrkmR/test.txt (bsize=8) |
|
[node |
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[node |
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[node |
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[node |
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