Upload batch 2/14: cola/mBERT/gated_multi_branch/seed_43 ... cola/mBERT/max/seed_43
Browse files- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43/all_results.json +15 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43/eval_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43/run_command.txt +1 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43/train_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43/trainer_state.json +111 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44/all_results.json +15 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44/eval_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44/run_command.txt +1 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44/train_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44/trainer_state.json +111 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42/all_results.json +15 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42/eval_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42/run_command.txt +1 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42/train_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42/trainer_state.json +111 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43/all_results.json +15 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43/eval_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43/run_command.txt +1 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43/train_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43/trainer_state.json +111 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44/all_results.json +15 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44/eval_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44/run_command.txt +1 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44/train_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44/trainer_state.json +111 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_42/all_results.json +15 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_42/eval_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_42/run_command.txt +1 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_42/train_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_42/trainer_state.json +111 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_43/all_results.json +15 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_43/eval_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_43/run_command.txt +1 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_43/train_results.json +9 -0
- mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_43/trainer_state.json +111 -0
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.29004186391830444,
|
| 4 |
+
"eval_matthews_correlation": 0.7733151048821603,
|
| 5 |
+
"eval_runtime": 1.3984,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 745.833,
|
| 8 |
+
"eval_steps_per_second": 5.006,
|
| 9 |
+
"total_flos": 445723188802812.0,
|
| 10 |
+
"train_loss": 0.2568637455735251,
|
| 11 |
+
"train_runtime": 31.4305,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 816.183,
|
| 14 |
+
"train_steps_per_second": 10.213
|
| 15 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.29004186391830444,
|
| 4 |
+
"eval_matthews_correlation": 0.7733151048821603,
|
| 5 |
+
"eval_runtime": 1.3984,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 745.833,
|
| 8 |
+
"eval_steps_per_second": 5.006
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43/run_command.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
/usr/local/bin/python /workspace/run_glue_MHA_gated.py --model_name_or_path bert-base-multilingual-cased --dataset_name tmnam20/ViGLUE --task_name cola --max_seq_length 256 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 50 --report_to none --num_train_epochs 3 --learning_rate 2e-05 --per_device_train_batch_size 80 --per_device_eval_batch_size 168 --gradient_accumulation_steps 1 --dataloader_num_workers 2 --seed 43 --output_dir result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save --use_mha true --pooling_strategy gated_multi_branch --n_heads 8 --head_dim 32 --classifier_hidden_dim 512 --head_dropout 0.05
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 445723188802812.0,
|
| 4 |
+
"train_loss": 0.2568637455735251,
|
| 5 |
+
"train_runtime": 31.4305,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 816.183,
|
| 8 |
+
"train_steps_per_second": 10.213
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_43/trainer_state.json
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 321,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.4672897196261682,
|
| 13 |
+
"grad_norm": 5.017457008361816,
|
| 14 |
+
"learning_rate": 1.688473520249221e-05,
|
| 15 |
+
"loss": 0.4265,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.9345794392523364,
|
| 20 |
+
"grad_norm": 5.256691932678223,
|
| 21 |
+
"learning_rate": 1.3769470404984425e-05,
|
| 22 |
+
"loss": 0.3242,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 1.0,
|
| 27 |
+
"eval_loss": 0.29493391513824463,
|
| 28 |
+
"eval_matthews_correlation": 0.7000821033544287,
|
| 29 |
+
"eval_runtime": 1.4881,
|
| 30 |
+
"eval_samples_per_second": 700.888,
|
| 31 |
+
"eval_steps_per_second": 4.704,
|
| 32 |
+
"step": 107
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.4018691588785046,
|
| 36 |
+
"grad_norm": 7.021495819091797,
|
| 37 |
+
"learning_rate": 1.0654205607476635e-05,
|
| 38 |
+
"loss": 0.2655,
|
| 39 |
+
"step": 150
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.8691588785046729,
|
| 43 |
+
"grad_norm": 5.001773834228516,
|
| 44 |
+
"learning_rate": 7.538940809968847e-06,
|
| 45 |
+
"loss": 0.2186,
|
| 46 |
+
"step": 200
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 2.0,
|
| 50 |
+
"eval_loss": 0.238822340965271,
|
| 51 |
+
"eval_matthews_correlation": 0.7808239264042255,
|
| 52 |
+
"eval_runtime": 1.3022,
|
| 53 |
+
"eval_samples_per_second": 800.951,
|
| 54 |
+
"eval_steps_per_second": 5.376,
|
| 55 |
+
"step": 214
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 2.336448598130841,
|
| 59 |
+
"grad_norm": 5.757174968719482,
|
| 60 |
+
"learning_rate": 4.42367601246106e-06,
|
| 61 |
+
"loss": 0.1859,
|
| 62 |
+
"step": 250
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.803738317757009,
|
| 66 |
+
"grad_norm": 5.819880485534668,
|
| 67 |
+
"learning_rate": 1.308411214953271e-06,
|
| 68 |
+
"loss": 0.1647,
|
| 69 |
+
"step": 300
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 3.0,
|
| 73 |
+
"eval_loss": 0.29004186391830444,
|
| 74 |
+
"eval_matthews_correlation": 0.7733151048821603,
|
| 75 |
+
"eval_runtime": 1.5837,
|
| 76 |
+
"eval_samples_per_second": 658.588,
|
| 77 |
+
"eval_steps_per_second": 4.42,
|
| 78 |
+
"step": 321
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 3.0,
|
| 82 |
+
"step": 321,
|
| 83 |
+
"total_flos": 445723188802812.0,
|
| 84 |
+
"train_loss": 0.2568637455735251,
|
| 85 |
+
"train_runtime": 31.4305,
|
| 86 |
+
"train_samples_per_second": 816.183,
|
| 87 |
+
"train_steps_per_second": 10.213
|
| 88 |
+
}
|
| 89 |
+
],
|
| 90 |
+
"logging_steps": 50,
|
| 91 |
+
"max_steps": 321,
|
| 92 |
+
"num_input_tokens_seen": 0,
|
| 93 |
+
"num_train_epochs": 3,
|
| 94 |
+
"save_steps": 500,
|
| 95 |
+
"stateful_callbacks": {
|
| 96 |
+
"TrainerControl": {
|
| 97 |
+
"args": {
|
| 98 |
+
"should_epoch_stop": false,
|
| 99 |
+
"should_evaluate": false,
|
| 100 |
+
"should_log": false,
|
| 101 |
+
"should_save": false,
|
| 102 |
+
"should_training_stop": false
|
| 103 |
+
},
|
| 104 |
+
"attributes": {}
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
"total_flos": 445723188802812.0,
|
| 108 |
+
"train_batch_size": 80,
|
| 109 |
+
"trial_name": null,
|
| 110 |
+
"trial_params": null
|
| 111 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2971993386745453,
|
| 4 |
+
"eval_matthews_correlation": 0.7612027683763856,
|
| 5 |
+
"eval_runtime": 1.442,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 723.28,
|
| 8 |
+
"eval_steps_per_second": 4.854,
|
| 9 |
+
"total_flos": 445789593220680.0,
|
| 10 |
+
"train_loss": 0.24624314412149684,
|
| 11 |
+
"train_runtime": 31.4852,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 814.765,
|
| 14 |
+
"train_steps_per_second": 10.195
|
| 15 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2971993386745453,
|
| 4 |
+
"eval_matthews_correlation": 0.7612027683763856,
|
| 5 |
+
"eval_runtime": 1.442,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 723.28,
|
| 8 |
+
"eval_steps_per_second": 4.854
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44/run_command.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
/usr/local/bin/python /workspace/run_glue_MHA_gated.py --model_name_or_path bert-base-multilingual-cased --dataset_name tmnam20/ViGLUE --task_name cola --max_seq_length 256 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 50 --report_to none --num_train_epochs 3 --learning_rate 2e-05 --per_device_train_batch_size 80 --per_device_eval_batch_size 168 --gradient_accumulation_steps 1 --dataloader_num_workers 2 --seed 44 --output_dir result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save --use_mha true --pooling_strategy gated_multi_branch --n_heads 8 --head_dim 32 --classifier_hidden_dim 512 --head_dropout 0.05
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 445789593220680.0,
|
| 4 |
+
"train_loss": 0.24624314412149684,
|
| 5 |
+
"train_runtime": 31.4852,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 814.765,
|
| 8 |
+
"train_steps_per_second": 10.195
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/gated_multi_branch/seed_44/trainer_state.json
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 321,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.4672897196261682,
|
| 13 |
+
"grad_norm": 6.518551349639893,
|
| 14 |
+
"learning_rate": 1.688473520249221e-05,
|
| 15 |
+
"loss": 0.4293,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.9345794392523364,
|
| 20 |
+
"grad_norm": 5.744719982147217,
|
| 21 |
+
"learning_rate": 1.3769470404984425e-05,
|
| 22 |
+
"loss": 0.3058,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 1.0,
|
| 27 |
+
"eval_loss": 0.25964823365211487,
|
| 28 |
+
"eval_matthews_correlation": 0.7445807376620748,
|
| 29 |
+
"eval_runtime": 1.5036,
|
| 30 |
+
"eval_samples_per_second": 693.649,
|
| 31 |
+
"eval_steps_per_second": 4.655,
|
| 32 |
+
"step": 107
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.4018691588785046,
|
| 36 |
+
"grad_norm": 4.169808864593506,
|
| 37 |
+
"learning_rate": 1.0654205607476635e-05,
|
| 38 |
+
"loss": 0.2458,
|
| 39 |
+
"step": 150
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.8691588785046729,
|
| 43 |
+
"grad_norm": 6.322945594787598,
|
| 44 |
+
"learning_rate": 7.538940809968847e-06,
|
| 45 |
+
"loss": 0.2151,
|
| 46 |
+
"step": 200
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 2.0,
|
| 50 |
+
"eval_loss": 0.2919430136680603,
|
| 51 |
+
"eval_matthews_correlation": 0.7310312837735538,
|
| 52 |
+
"eval_runtime": 1.3657,
|
| 53 |
+
"eval_samples_per_second": 763.721,
|
| 54 |
+
"eval_steps_per_second": 5.126,
|
| 55 |
+
"step": 214
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 2.336448598130841,
|
| 59 |
+
"grad_norm": 5.181381702423096,
|
| 60 |
+
"learning_rate": 4.42367601246106e-06,
|
| 61 |
+
"loss": 0.1691,
|
| 62 |
+
"step": 250
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.803738317757009,
|
| 66 |
+
"grad_norm": 6.789882183074951,
|
| 67 |
+
"learning_rate": 1.308411214953271e-06,
|
| 68 |
+
"loss": 0.1584,
|
| 69 |
+
"step": 300
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 3.0,
|
| 73 |
+
"eval_loss": 0.2971993386745453,
|
| 74 |
+
"eval_matthews_correlation": 0.7612027683763856,
|
| 75 |
+
"eval_runtime": 1.4424,
|
| 76 |
+
"eval_samples_per_second": 723.11,
|
| 77 |
+
"eval_steps_per_second": 4.853,
|
| 78 |
+
"step": 321
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 3.0,
|
| 82 |
+
"step": 321,
|
| 83 |
+
"total_flos": 445789593220680.0,
|
| 84 |
+
"train_loss": 0.24624314412149684,
|
| 85 |
+
"train_runtime": 31.4852,
|
| 86 |
+
"train_samples_per_second": 814.765,
|
| 87 |
+
"train_steps_per_second": 10.195
|
| 88 |
+
}
|
| 89 |
+
],
|
| 90 |
+
"logging_steps": 50,
|
| 91 |
+
"max_steps": 321,
|
| 92 |
+
"num_input_tokens_seen": 0,
|
| 93 |
+
"num_train_epochs": 3,
|
| 94 |
+
"save_steps": 500,
|
| 95 |
+
"stateful_callbacks": {
|
| 96 |
+
"TrainerControl": {
|
| 97 |
+
"args": {
|
| 98 |
+
"should_epoch_stop": false,
|
| 99 |
+
"should_evaluate": false,
|
| 100 |
+
"should_log": false,
|
| 101 |
+
"should_save": false,
|
| 102 |
+
"should_training_stop": false
|
| 103 |
+
},
|
| 104 |
+
"attributes": {}
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
"total_flos": 445789593220680.0,
|
| 108 |
+
"train_batch_size": 80,
|
| 109 |
+
"trial_name": null,
|
| 110 |
+
"trial_params": null
|
| 111 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.29159754514694214,
|
| 4 |
+
"eval_matthews_correlation": 0.7493368300485673,
|
| 5 |
+
"eval_runtime": 1.4191,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 734.973,
|
| 8 |
+
"eval_steps_per_second": 4.933,
|
| 9 |
+
"total_flos": 427139728936980.0,
|
| 10 |
+
"train_loss": 0.2649622825075904,
|
| 11 |
+
"train_runtime": 35.4989,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 722.643,
|
| 14 |
+
"train_steps_per_second": 9.043
|
| 15 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.29159754514694214,
|
| 4 |
+
"eval_matthews_correlation": 0.7493368300485673,
|
| 5 |
+
"eval_runtime": 1.4191,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 734.973,
|
| 8 |
+
"eval_steps_per_second": 4.933
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42/run_command.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
/usr/local/bin/python /workspace/run_glue_MHA_gated.py --model_name_or_path bert-base-multilingual-cased --dataset_name tmnam20/ViGLUE --task_name cola --max_seq_length 256 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 50 --report_to none --num_train_epochs 3 --learning_rate 2e-05 --per_device_train_batch_size 80 --per_device_eval_batch_size 168 --gradient_accumulation_steps 1 --dataloader_num_workers 2 --seed 42 --output_dir result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 427139728936980.0,
|
| 4 |
+
"train_loss": 0.2649622825075904,
|
| 5 |
+
"train_runtime": 35.4989,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 722.643,
|
| 8 |
+
"train_steps_per_second": 9.043
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_42/trainer_state.json
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 321,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.4672897196261682,
|
| 13 |
+
"grad_norm": 4.549562931060791,
|
| 14 |
+
"learning_rate": 1.688473520249221e-05,
|
| 15 |
+
"loss": 0.4495,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.9345794392523364,
|
| 20 |
+
"grad_norm": 4.5690693855285645,
|
| 21 |
+
"learning_rate": 1.3769470404984425e-05,
|
| 22 |
+
"loss": 0.3183,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 1.0,
|
| 27 |
+
"eval_loss": 0.2829677164554596,
|
| 28 |
+
"eval_matthews_correlation": 0.7168798974635037,
|
| 29 |
+
"eval_runtime": 1.6118,
|
| 30 |
+
"eval_samples_per_second": 647.108,
|
| 31 |
+
"eval_steps_per_second": 4.343,
|
| 32 |
+
"step": 107
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.4018691588785046,
|
| 36 |
+
"grad_norm": 4.647832870483398,
|
| 37 |
+
"learning_rate": 1.0654205607476635e-05,
|
| 38 |
+
"loss": 0.269,
|
| 39 |
+
"step": 150
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.8691588785046729,
|
| 43 |
+
"grad_norm": 5.157256603240967,
|
| 44 |
+
"learning_rate": 7.538940809968847e-06,
|
| 45 |
+
"loss": 0.2311,
|
| 46 |
+
"step": 200
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 2.0,
|
| 50 |
+
"eval_loss": 0.2866717576980591,
|
| 51 |
+
"eval_matthews_correlation": 0.7448734653696512,
|
| 52 |
+
"eval_runtime": 1.5508,
|
| 53 |
+
"eval_samples_per_second": 672.555,
|
| 54 |
+
"eval_steps_per_second": 4.514,
|
| 55 |
+
"step": 214
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 2.336448598130841,
|
| 59 |
+
"grad_norm": 6.212674140930176,
|
| 60 |
+
"learning_rate": 4.42367601246106e-06,
|
| 61 |
+
"loss": 0.1985,
|
| 62 |
+
"step": 250
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.803738317757009,
|
| 66 |
+
"grad_norm": 5.383189678192139,
|
| 67 |
+
"learning_rate": 1.308411214953271e-06,
|
| 68 |
+
"loss": 0.1705,
|
| 69 |
+
"step": 300
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 3.0,
|
| 73 |
+
"eval_loss": 0.29159754514694214,
|
| 74 |
+
"eval_matthews_correlation": 0.7493368300485673,
|
| 75 |
+
"eval_runtime": 1.4308,
|
| 76 |
+
"eval_samples_per_second": 728.943,
|
| 77 |
+
"eval_steps_per_second": 4.892,
|
| 78 |
+
"step": 321
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 3.0,
|
| 82 |
+
"step": 321,
|
| 83 |
+
"total_flos": 427139728936980.0,
|
| 84 |
+
"train_loss": 0.2649622825075904,
|
| 85 |
+
"train_runtime": 35.4989,
|
| 86 |
+
"train_samples_per_second": 722.643,
|
| 87 |
+
"train_steps_per_second": 9.043
|
| 88 |
+
}
|
| 89 |
+
],
|
| 90 |
+
"logging_steps": 50,
|
| 91 |
+
"max_steps": 321,
|
| 92 |
+
"num_input_tokens_seen": 0,
|
| 93 |
+
"num_train_epochs": 3,
|
| 94 |
+
"save_steps": 500,
|
| 95 |
+
"stateful_callbacks": {
|
| 96 |
+
"TrainerControl": {
|
| 97 |
+
"args": {
|
| 98 |
+
"should_epoch_stop": false,
|
| 99 |
+
"should_evaluate": false,
|
| 100 |
+
"should_log": false,
|
| 101 |
+
"should_save": false,
|
| 102 |
+
"should_training_stop": false
|
| 103 |
+
},
|
| 104 |
+
"attributes": {}
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
"total_flos": 427139728936980.0,
|
| 108 |
+
"train_batch_size": 80,
|
| 109 |
+
"trial_name": null,
|
| 110 |
+
"trial_params": null
|
| 111 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.29299455881118774,
|
| 4 |
+
"eval_matthews_correlation": 0.770612811219967,
|
| 5 |
+
"eval_runtime": 1.4686,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 710.195,
|
| 8 |
+
"eval_steps_per_second": 4.766,
|
| 9 |
+
"total_flos": 424270173989460.0,
|
| 10 |
+
"train_loss": 0.2762503274876009,
|
| 11 |
+
"train_runtime": 35.5792,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 721.011,
|
| 14 |
+
"train_steps_per_second": 9.022
|
| 15 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.29299455881118774,
|
| 4 |
+
"eval_matthews_correlation": 0.770612811219967,
|
| 5 |
+
"eval_runtime": 1.4686,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 710.195,
|
| 8 |
+
"eval_steps_per_second": 4.766
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43/run_command.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
/usr/local/bin/python /workspace/run_glue_MHA_gated.py --model_name_or_path bert-base-multilingual-cased --dataset_name tmnam20/ViGLUE --task_name cola --max_seq_length 256 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 50 --report_to none --num_train_epochs 3 --learning_rate 2e-05 --per_device_train_batch_size 80 --per_device_eval_batch_size 168 --gradient_accumulation_steps 1 --dataloader_num_workers 2 --seed 43 --output_dir result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 424270173989460.0,
|
| 4 |
+
"train_loss": 0.2762503274876009,
|
| 5 |
+
"train_runtime": 35.5792,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 721.011,
|
| 8 |
+
"train_steps_per_second": 9.022
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_43/trainer_state.json
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 321,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.4672897196261682,
|
| 13 |
+
"grad_norm": 6.983142375946045,
|
| 14 |
+
"learning_rate": 1.688473520249221e-05,
|
| 15 |
+
"loss": 0.4794,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.9345794392523364,
|
| 20 |
+
"grad_norm": 5.011570930480957,
|
| 21 |
+
"learning_rate": 1.3769470404984425e-05,
|
| 22 |
+
"loss": 0.3407,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 1.0,
|
| 27 |
+
"eval_loss": 0.2928970158100128,
|
| 28 |
+
"eval_matthews_correlation": 0.7255589981043564,
|
| 29 |
+
"eval_runtime": 1.5391,
|
| 30 |
+
"eval_samples_per_second": 677.655,
|
| 31 |
+
"eval_steps_per_second": 4.548,
|
| 32 |
+
"step": 107
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.4018691588785046,
|
| 36 |
+
"grad_norm": 5.626948356628418,
|
| 37 |
+
"learning_rate": 1.0654205607476635e-05,
|
| 38 |
+
"loss": 0.271,
|
| 39 |
+
"step": 150
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.8691588785046729,
|
| 43 |
+
"grad_norm": 4.365847110748291,
|
| 44 |
+
"learning_rate": 7.538940809968847e-06,
|
| 45 |
+
"loss": 0.231,
|
| 46 |
+
"step": 200
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 2.0,
|
| 50 |
+
"eval_loss": 0.2618351876735687,
|
| 51 |
+
"eval_matthews_correlation": 0.7756438036656587,
|
| 52 |
+
"eval_runtime": 1.5241,
|
| 53 |
+
"eval_samples_per_second": 684.35,
|
| 54 |
+
"eval_steps_per_second": 4.593,
|
| 55 |
+
"step": 214
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 2.336448598130841,
|
| 59 |
+
"grad_norm": 7.09475564956665,
|
| 60 |
+
"learning_rate": 4.42367601246106e-06,
|
| 61 |
+
"loss": 0.196,
|
| 62 |
+
"step": 250
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.803738317757009,
|
| 66 |
+
"grad_norm": 4.770914554595947,
|
| 67 |
+
"learning_rate": 1.308411214953271e-06,
|
| 68 |
+
"loss": 0.1815,
|
| 69 |
+
"step": 300
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 3.0,
|
| 73 |
+
"eval_loss": 0.29299455881118774,
|
| 74 |
+
"eval_matthews_correlation": 0.770612811219967,
|
| 75 |
+
"eval_runtime": 1.5086,
|
| 76 |
+
"eval_samples_per_second": 691.356,
|
| 77 |
+
"eval_steps_per_second": 4.64,
|
| 78 |
+
"step": 321
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 3.0,
|
| 82 |
+
"step": 321,
|
| 83 |
+
"total_flos": 424270173989460.0,
|
| 84 |
+
"train_loss": 0.2762503274876009,
|
| 85 |
+
"train_runtime": 35.5792,
|
| 86 |
+
"train_samples_per_second": 721.011,
|
| 87 |
+
"train_steps_per_second": 9.022
|
| 88 |
+
}
|
| 89 |
+
],
|
| 90 |
+
"logging_steps": 50,
|
| 91 |
+
"max_steps": 321,
|
| 92 |
+
"num_input_tokens_seen": 0,
|
| 93 |
+
"num_train_epochs": 3,
|
| 94 |
+
"save_steps": 500,
|
| 95 |
+
"stateful_callbacks": {
|
| 96 |
+
"TrainerControl": {
|
| 97 |
+
"args": {
|
| 98 |
+
"should_epoch_stop": false,
|
| 99 |
+
"should_evaluate": false,
|
| 100 |
+
"should_log": false,
|
| 101 |
+
"should_save": false,
|
| 102 |
+
"should_training_stop": false
|
| 103 |
+
},
|
| 104 |
+
"attributes": {}
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
"total_flos": 424270173989460.0,
|
| 108 |
+
"train_batch_size": 80,
|
| 109 |
+
"trial_name": null,
|
| 110 |
+
"trial_params": null
|
| 111 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2829234004020691,
|
| 4 |
+
"eval_matthews_correlation": 0.7729513152802419,
|
| 5 |
+
"eval_runtime": 1.3882,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 751.321,
|
| 8 |
+
"eval_steps_per_second": 5.042,
|
| 9 |
+
"total_flos": 424333382309400.0,
|
| 10 |
+
"train_loss": 0.2657259335027677,
|
| 11 |
+
"train_runtime": 35.0333,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 732.247,
|
| 14 |
+
"train_steps_per_second": 9.163
|
| 15 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2829234004020691,
|
| 4 |
+
"eval_matthews_correlation": 0.7729513152802419,
|
| 5 |
+
"eval_runtime": 1.3882,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 751.321,
|
| 8 |
+
"eval_steps_per_second": 5.042
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44/run_command.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
/usr/local/bin/python /workspace/run_glue_MHA_gated.py --model_name_or_path bert-base-multilingual-cased --dataset_name tmnam20/ViGLUE --task_name cola --max_seq_length 256 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 50 --report_to none --num_train_epochs 3 --learning_rate 2e-05 --per_device_train_batch_size 80 --per_device_eval_batch_size 168 --gradient_accumulation_steps 1 --dataloader_num_workers 2 --seed 44 --output_dir result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 424333382309400.0,
|
| 4 |
+
"train_loss": 0.2657259335027677,
|
| 5 |
+
"train_runtime": 35.0333,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 732.247,
|
| 8 |
+
"train_steps_per_second": 9.163
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/hf_sequence_classifier/seed_44/trainer_state.json
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 321,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.4672897196261682,
|
| 13 |
+
"grad_norm": 4.170408725738525,
|
| 14 |
+
"learning_rate": 1.688473520249221e-05,
|
| 15 |
+
"loss": 0.4426,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.9345794392523364,
|
| 20 |
+
"grad_norm": 4.682508945465088,
|
| 21 |
+
"learning_rate": 1.3769470404984425e-05,
|
| 22 |
+
"loss": 0.324,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 1.0,
|
| 27 |
+
"eval_loss": 0.2635350525379181,
|
| 28 |
+
"eval_matthews_correlation": 0.7542296587798193,
|
| 29 |
+
"eval_runtime": 1.513,
|
| 30 |
+
"eval_samples_per_second": 689.353,
|
| 31 |
+
"eval_steps_per_second": 4.627,
|
| 32 |
+
"step": 107
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.4018691588785046,
|
| 36 |
+
"grad_norm": 6.913776397705078,
|
| 37 |
+
"learning_rate": 1.0654205607476635e-05,
|
| 38 |
+
"loss": 0.2693,
|
| 39 |
+
"step": 150
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.8691588785046729,
|
| 43 |
+
"grad_norm": 6.106342792510986,
|
| 44 |
+
"learning_rate": 7.538940809968847e-06,
|
| 45 |
+
"loss": 0.2331,
|
| 46 |
+
"step": 200
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 2.0,
|
| 50 |
+
"eval_loss": 0.2619330585002899,
|
| 51 |
+
"eval_matthews_correlation": 0.7824250237671008,
|
| 52 |
+
"eval_runtime": 1.3738,
|
| 53 |
+
"eval_samples_per_second": 759.182,
|
| 54 |
+
"eval_steps_per_second": 5.095,
|
| 55 |
+
"step": 214
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 2.336448598130841,
|
| 59 |
+
"grad_norm": 8.283414840698242,
|
| 60 |
+
"learning_rate": 4.42367601246106e-06,
|
| 61 |
+
"loss": 0.1894,
|
| 62 |
+
"step": 250
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.803738317757009,
|
| 66 |
+
"grad_norm": 10.368456840515137,
|
| 67 |
+
"learning_rate": 1.308411214953271e-06,
|
| 68 |
+
"loss": 0.1812,
|
| 69 |
+
"step": 300
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 3.0,
|
| 73 |
+
"eval_loss": 0.2829234004020691,
|
| 74 |
+
"eval_matthews_correlation": 0.7729513152802419,
|
| 75 |
+
"eval_runtime": 1.4952,
|
| 76 |
+
"eval_samples_per_second": 697.546,
|
| 77 |
+
"eval_steps_per_second": 4.682,
|
| 78 |
+
"step": 321
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 3.0,
|
| 82 |
+
"step": 321,
|
| 83 |
+
"total_flos": 424333382309400.0,
|
| 84 |
+
"train_loss": 0.2657259335027677,
|
| 85 |
+
"train_runtime": 35.0333,
|
| 86 |
+
"train_samples_per_second": 732.247,
|
| 87 |
+
"train_steps_per_second": 9.163
|
| 88 |
+
}
|
| 89 |
+
],
|
| 90 |
+
"logging_steps": 50,
|
| 91 |
+
"max_steps": 321,
|
| 92 |
+
"num_input_tokens_seen": 0,
|
| 93 |
+
"num_train_epochs": 3,
|
| 94 |
+
"save_steps": 500,
|
| 95 |
+
"stateful_callbacks": {
|
| 96 |
+
"TrainerControl": {
|
| 97 |
+
"args": {
|
| 98 |
+
"should_epoch_stop": false,
|
| 99 |
+
"should_evaluate": false,
|
| 100 |
+
"should_log": false,
|
| 101 |
+
"should_save": false,
|
| 102 |
+
"should_training_stop": false
|
| 103 |
+
},
|
| 104 |
+
"attributes": {}
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
"total_flos": 424333382309400.0,
|
| 108 |
+
"train_batch_size": 80,
|
| 109 |
+
"trial_name": null,
|
| 110 |
+
"trial_params": null
|
| 111 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_42/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.3104800581932068,
|
| 4 |
+
"eval_matthews_correlation": 0.7354753979999464,
|
| 5 |
+
"eval_runtime": 1.5803,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 659.999,
|
| 8 |
+
"eval_steps_per_second": 4.43,
|
| 9 |
+
"total_flos": 429104574692352.0,
|
| 10 |
+
"train_loss": 0.26581977386712285,
|
| 11 |
+
"train_runtime": 29.3437,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 874.226,
|
| 14 |
+
"train_steps_per_second": 10.939
|
| 15 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_42/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.3104800581932068,
|
| 4 |
+
"eval_matthews_correlation": 0.7354753979999464,
|
| 5 |
+
"eval_runtime": 1.5803,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 659.999,
|
| 8 |
+
"eval_steps_per_second": 4.43
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_42/run_command.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
/usr/local/bin/python /workspace/run_glue_MHA_gated.py --model_name_or_path bert-base-multilingual-cased --dataset_name tmnam20/ViGLUE --task_name cola --max_seq_length 256 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 50 --report_to none --num_train_epochs 3 --learning_rate 2e-05 --per_device_train_batch_size 80 --per_device_eval_batch_size 168 --gradient_accumulation_steps 1 --dataloader_num_workers 2 --seed 42 --output_dir result_ablation_mbert_paper/cola/mBERT/max/seed_42 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save --use_mha true --pooling_strategy max --n_heads 8 --head_dim 32 --classifier_hidden_dim 512 --head_dropout 0.05
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_42/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 429104574692352.0,
|
| 4 |
+
"train_loss": 0.26581977386712285,
|
| 5 |
+
"train_runtime": 29.3437,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 874.226,
|
| 8 |
+
"train_steps_per_second": 10.939
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_42/trainer_state.json
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 321,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.4672897196261682,
|
| 13 |
+
"grad_norm": 4.00053071975708,
|
| 14 |
+
"learning_rate": 1.688473520249221e-05,
|
| 15 |
+
"loss": 0.4448,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.9345794392523364,
|
| 20 |
+
"grad_norm": 5.761870861053467,
|
| 21 |
+
"learning_rate": 1.3769470404984425e-05,
|
| 22 |
+
"loss": 0.3223,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 1.0,
|
| 27 |
+
"eval_loss": 0.30257633328437805,
|
| 28 |
+
"eval_matthews_correlation": 0.7113064650024932,
|
| 29 |
+
"eval_runtime": 1.775,
|
| 30 |
+
"eval_samples_per_second": 587.608,
|
| 31 |
+
"eval_steps_per_second": 3.944,
|
| 32 |
+
"step": 107
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.4018691588785046,
|
| 36 |
+
"grad_norm": 3.953287363052368,
|
| 37 |
+
"learning_rate": 1.0654205607476635e-05,
|
| 38 |
+
"loss": 0.2721,
|
| 39 |
+
"step": 150
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.8691588785046729,
|
| 43 |
+
"grad_norm": 5.419213771820068,
|
| 44 |
+
"learning_rate": 7.538940809968847e-06,
|
| 45 |
+
"loss": 0.2332,
|
| 46 |
+
"step": 200
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 2.0,
|
| 50 |
+
"eval_loss": 0.28807854652404785,
|
| 51 |
+
"eval_matthews_correlation": 0.7210288223868512,
|
| 52 |
+
"eval_runtime": 1.6387,
|
| 53 |
+
"eval_samples_per_second": 636.49,
|
| 54 |
+
"eval_steps_per_second": 4.272,
|
| 55 |
+
"step": 214
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 2.336448598130841,
|
| 59 |
+
"grad_norm": 6.456455230712891,
|
| 60 |
+
"learning_rate": 4.42367601246106e-06,
|
| 61 |
+
"loss": 0.2,
|
| 62 |
+
"step": 250
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.803738317757009,
|
| 66 |
+
"grad_norm": 5.79647159576416,
|
| 67 |
+
"learning_rate": 1.308411214953271e-06,
|
| 68 |
+
"loss": 0.1687,
|
| 69 |
+
"step": 300
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 3.0,
|
| 73 |
+
"eval_loss": 0.3104800581932068,
|
| 74 |
+
"eval_matthews_correlation": 0.7354753979999464,
|
| 75 |
+
"eval_runtime": 1.5395,
|
| 76 |
+
"eval_samples_per_second": 677.48,
|
| 77 |
+
"eval_steps_per_second": 4.547,
|
| 78 |
+
"step": 321
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 3.0,
|
| 82 |
+
"step": 321,
|
| 83 |
+
"total_flos": 429104574692352.0,
|
| 84 |
+
"train_loss": 0.26581977386712285,
|
| 85 |
+
"train_runtime": 29.3437,
|
| 86 |
+
"train_samples_per_second": 874.226,
|
| 87 |
+
"train_steps_per_second": 10.939
|
| 88 |
+
}
|
| 89 |
+
],
|
| 90 |
+
"logging_steps": 50,
|
| 91 |
+
"max_steps": 321,
|
| 92 |
+
"num_input_tokens_seen": 0,
|
| 93 |
+
"num_train_epochs": 3,
|
| 94 |
+
"save_steps": 500,
|
| 95 |
+
"stateful_callbacks": {
|
| 96 |
+
"TrainerControl": {
|
| 97 |
+
"args": {
|
| 98 |
+
"should_epoch_stop": false,
|
| 99 |
+
"should_evaluate": false,
|
| 100 |
+
"should_log": false,
|
| 101 |
+
"should_save": false,
|
| 102 |
+
"should_training_stop": false
|
| 103 |
+
},
|
| 104 |
+
"attributes": {}
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
"total_flos": 429104574692352.0,
|
| 108 |
+
"train_batch_size": 80,
|
| 109 |
+
"trial_name": null,
|
| 110 |
+
"trial_params": null
|
| 111 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_43/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2829602062702179,
|
| 4 |
+
"eval_matthews_correlation": 0.7638553055158107,
|
| 5 |
+
"eval_runtime": 1.3595,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 767.182,
|
| 8 |
+
"eval_steps_per_second": 5.149,
|
| 9 |
+
"total_flos": 426221819771904.0,
|
| 10 |
+
"train_loss": 0.26830103241394615,
|
| 11 |
+
"train_runtime": 31.2693,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 820.39,
|
| 14 |
+
"train_steps_per_second": 10.266
|
| 15 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_43/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2829602062702179,
|
| 4 |
+
"eval_matthews_correlation": 0.7638553055158107,
|
| 5 |
+
"eval_runtime": 1.3595,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 767.182,
|
| 8 |
+
"eval_steps_per_second": 5.149
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_43/run_command.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
/usr/local/bin/python /workspace/run_glue_MHA_gated.py --model_name_or_path bert-base-multilingual-cased --dataset_name tmnam20/ViGLUE --task_name cola --max_seq_length 256 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 50 --report_to none --num_train_epochs 3 --learning_rate 2e-05 --per_device_train_batch_size 80 --per_device_eval_batch_size 168 --gradient_accumulation_steps 1 --dataloader_num_workers 2 --seed 43 --output_dir result_ablation_mbert_paper/cola/mBERT/max/seed_43 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save --use_mha true --pooling_strategy max --n_heads 8 --head_dim 32 --classifier_hidden_dim 512 --head_dropout 0.05
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_43/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 426221819771904.0,
|
| 4 |
+
"train_loss": 0.26830103241394615,
|
| 5 |
+
"train_runtime": 31.2693,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 820.39,
|
| 8 |
+
"train_steps_per_second": 10.266
|
| 9 |
+
}
|
mbert_paper_metrics/result_ablation_mbert_paper/cola/mBERT/max/seed_43/trainer_state.json
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 321,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.4672897196261682,
|
| 13 |
+
"grad_norm": 3.332101345062256,
|
| 14 |
+
"learning_rate": 1.688473520249221e-05,
|
| 15 |
+
"loss": 0.4634,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.9345794392523364,
|
| 20 |
+
"grad_norm": 5.116937160491943,
|
| 21 |
+
"learning_rate": 1.3769470404984425e-05,
|
| 22 |
+
"loss": 0.3316,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 1.0,
|
| 27 |
+
"eval_loss": 0.2942867577075958,
|
| 28 |
+
"eval_matthews_correlation": 0.7116335016864657,
|
| 29 |
+
"eval_runtime": 1.6351,
|
| 30 |
+
"eval_samples_per_second": 637.886,
|
| 31 |
+
"eval_steps_per_second": 4.281,
|
| 32 |
+
"step": 107
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.4018691588785046,
|
| 36 |
+
"grad_norm": 4.77727746963501,
|
| 37 |
+
"learning_rate": 1.0654205607476635e-05,
|
| 38 |
+
"loss": 0.2673,
|
| 39 |
+
"step": 150
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.8691588785046729,
|
| 43 |
+
"grad_norm": 3.866352081298828,
|
| 44 |
+
"learning_rate": 7.538940809968847e-06,
|
| 45 |
+
"loss": 0.2258,
|
| 46 |
+
"step": 200
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 2.0,
|
| 50 |
+
"eval_loss": 0.2581494450569153,
|
| 51 |
+
"eval_matthews_correlation": 0.762410162302737,
|
| 52 |
+
"eval_runtime": 1.6224,
|
| 53 |
+
"eval_samples_per_second": 642.892,
|
| 54 |
+
"eval_steps_per_second": 4.315,
|
| 55 |
+
"step": 214
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 2.336448598130841,
|
| 59 |
+
"grad_norm": 7.299858570098877,
|
| 60 |
+
"learning_rate": 4.42367601246106e-06,
|
| 61 |
+
"loss": 0.1864,
|
| 62 |
+
"step": 250
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.803738317757009,
|
| 66 |
+
"grad_norm": 3.356229305267334,
|
| 67 |
+
"learning_rate": 1.308411214953271e-06,
|
| 68 |
+
"loss": 0.1754,
|
| 69 |
+
"step": 300
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 3.0,
|
| 73 |
+
"eval_loss": 0.2829602062702179,
|
| 74 |
+
"eval_matthews_correlation": 0.7638553055158107,
|
| 75 |
+
"eval_runtime": 1.328,
|
| 76 |
+
"eval_samples_per_second": 785.412,
|
| 77 |
+
"eval_steps_per_second": 5.271,
|
| 78 |
+
"step": 321
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 3.0,
|
| 82 |
+
"step": 321,
|
| 83 |
+
"total_flos": 426221819771904.0,
|
| 84 |
+
"train_loss": 0.26830103241394615,
|
| 85 |
+
"train_runtime": 31.2693,
|
| 86 |
+
"train_samples_per_second": 820.39,
|
| 87 |
+
"train_steps_per_second": 10.266
|
| 88 |
+
}
|
| 89 |
+
],
|
| 90 |
+
"logging_steps": 50,
|
| 91 |
+
"max_steps": 321,
|
| 92 |
+
"num_input_tokens_seen": 0,
|
| 93 |
+
"num_train_epochs": 3,
|
| 94 |
+
"save_steps": 500,
|
| 95 |
+
"stateful_callbacks": {
|
| 96 |
+
"TrainerControl": {
|
| 97 |
+
"args": {
|
| 98 |
+
"should_epoch_stop": false,
|
| 99 |
+
"should_evaluate": false,
|
| 100 |
+
"should_log": false,
|
| 101 |
+
"should_save": false,
|
| 102 |
+
"should_training_stop": false
|
| 103 |
+
},
|
| 104 |
+
"attributes": {}
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
"total_flos": 426221819771904.0,
|
| 108 |
+
"train_batch_size": 80,
|
| 109 |
+
"trial_name": null,
|
| 110 |
+
"trial_params": null
|
| 111 |
+
}
|