Upload batch 4/24: cola/mBERT/max/seed_42 ... cola/mBERT/mean/seed_42
Browse files- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_42/all_results.json +15 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_42/eval_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_42/run_command.txt +1 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_42/train_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_42/trainer_state.json +216 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_43/all_results.json +15 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_43/eval_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_43/run_command.txt +1 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_43/train_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_43/trainer_state.json +216 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_44/all_results.json +15 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_44/eval_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_44/run_command.txt +1 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_44/train_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_44/trainer_state.json +216 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/mean/seed_42/all_results.json +15 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/mean/seed_42/eval_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/mean/seed_42/run_command.txt +1 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/mean/seed_42/train_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/mean/seed_42/trainer_state.json +216 -0
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_42/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.28716450929641724,
|
| 4 |
+
"eval_matthews_correlation": 0.7823569443931843,
|
| 5 |
+
"eval_runtime": 1.6169,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 645.068,
|
| 8 |
+
"eval_steps_per_second": 6.803,
|
| 9 |
+
"total_flos": 395035512109056.0,
|
| 10 |
+
"train_loss": 0.227474433083774,
|
| 11 |
+
"train_runtime": 70.5688,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 363.517,
|
| 14 |
+
"train_steps_per_second": 7.61
|
| 15 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_42/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.28716450929641724,
|
| 4 |
+
"eval_matthews_correlation": 0.7823569443931843,
|
| 5 |
+
"eval_runtime": 1.6169,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 645.068,
|
| 8 |
+
"eval_steps_per_second": 6.803
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/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 128 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 25 --report_to none --num_train_epochs 3 --learning_rate 3e-05 --per_device_train_batch_size 48 --per_device_eval_batch_size 96 --gradient_accumulation_steps 1 --dataloader_num_workers 1 --seed 42 --output_dir result_ablation_mbert/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 4 --head_dim 32 --classifier_hidden_dim 512 --head_dropout 0.05
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_42/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 395035512109056.0,
|
| 4 |
+
"train_loss": 0.227474433083774,
|
| 5 |
+
"train_runtime": 70.5688,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 363.517,
|
| 8 |
+
"train_steps_per_second": 7.61
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_42/trainer_state.json
ADDED
|
@@ -0,0 +1,216 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 537,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.13966480446927373,
|
| 13 |
+
"grad_norm": 7.506533145904541,
|
| 14 |
+
"learning_rate": 2.8603351955307262e-05,
|
| 15 |
+
"loss": 0.5032,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.27932960893854747,
|
| 20 |
+
"grad_norm": 6.765139102935791,
|
| 21 |
+
"learning_rate": 2.7206703910614527e-05,
|
| 22 |
+
"loss": 0.4023,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.41899441340782123,
|
| 27 |
+
"grad_norm": 5.985041618347168,
|
| 28 |
+
"learning_rate": 2.5810055865921788e-05,
|
| 29 |
+
"loss": 0.3251,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.5586592178770949,
|
| 34 |
+
"grad_norm": 6.529898166656494,
|
| 35 |
+
"learning_rate": 2.441340782122905e-05,
|
| 36 |
+
"loss": 0.3316,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.6983240223463687,
|
| 41 |
+
"grad_norm": 4.667145729064941,
|
| 42 |
+
"learning_rate": 2.3016759776536314e-05,
|
| 43 |
+
"loss": 0.3375,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.8379888268156425,
|
| 48 |
+
"grad_norm": 7.793707370758057,
|
| 49 |
+
"learning_rate": 2.1620111731843575e-05,
|
| 50 |
+
"loss": 0.2753,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.9776536312849162,
|
| 55 |
+
"grad_norm": 7.965795516967773,
|
| 56 |
+
"learning_rate": 2.0223463687150836e-05,
|
| 57 |
+
"loss": 0.3299,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.0,
|
| 62 |
+
"eval_loss": 0.2594018280506134,
|
| 63 |
+
"eval_matthews_correlation": 0.7764429355875446,
|
| 64 |
+
"eval_runtime": 1.8218,
|
| 65 |
+
"eval_samples_per_second": 572.521,
|
| 66 |
+
"eval_steps_per_second": 6.038,
|
| 67 |
+
"step": 179
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 1.1173184357541899,
|
| 71 |
+
"grad_norm": 5.244349002838135,
|
| 72 |
+
"learning_rate": 1.88268156424581e-05,
|
| 73 |
+
"loss": 0.2611,
|
| 74 |
+
"step": 200
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.2569832402234637,
|
| 78 |
+
"grad_norm": 4.337162971496582,
|
| 79 |
+
"learning_rate": 1.7430167597765365e-05,
|
| 80 |
+
"loss": 0.2335,
|
| 81 |
+
"step": 225
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.3966480446927374,
|
| 85 |
+
"grad_norm": 5.328370571136475,
|
| 86 |
+
"learning_rate": 1.6033519553072626e-05,
|
| 87 |
+
"loss": 0.1964,
|
| 88 |
+
"step": 250
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.536312849162011,
|
| 92 |
+
"grad_norm": 3.7711894512176514,
|
| 93 |
+
"learning_rate": 1.4636871508379887e-05,
|
| 94 |
+
"loss": 0.1792,
|
| 95 |
+
"step": 275
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.675977653631285,
|
| 99 |
+
"grad_norm": 5.171924114227295,
|
| 100 |
+
"learning_rate": 1.324022346368715e-05,
|
| 101 |
+
"loss": 0.2184,
|
| 102 |
+
"step": 300
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.8156424581005588,
|
| 106 |
+
"grad_norm": 5.825191020965576,
|
| 107 |
+
"learning_rate": 1.1843575418994415e-05,
|
| 108 |
+
"loss": 0.1842,
|
| 109 |
+
"step": 325
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.9553072625698324,
|
| 113 |
+
"grad_norm": 8.417168617248535,
|
| 114 |
+
"learning_rate": 1.0446927374301676e-05,
|
| 115 |
+
"loss": 0.1959,
|
| 116 |
+
"step": 350
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 2.0,
|
| 120 |
+
"eval_loss": 0.25236082077026367,
|
| 121 |
+
"eval_matthews_correlation": 0.7779145608071428,
|
| 122 |
+
"eval_runtime": 1.5756,
|
| 123 |
+
"eval_samples_per_second": 661.985,
|
| 124 |
+
"eval_steps_per_second": 6.982,
|
| 125 |
+
"step": 358
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.094972067039106,
|
| 129 |
+
"grad_norm": 5.163099765777588,
|
| 130 |
+
"learning_rate": 9.050279329608939e-06,
|
| 131 |
+
"loss": 0.1593,
|
| 132 |
+
"step": 375
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 2.2346368715083798,
|
| 136 |
+
"grad_norm": 12.770713806152344,
|
| 137 |
+
"learning_rate": 7.653631284916202e-06,
|
| 138 |
+
"loss": 0.0989,
|
| 139 |
+
"step": 400
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.3743016759776534,
|
| 143 |
+
"grad_norm": 14.984099388122559,
|
| 144 |
+
"learning_rate": 6.256983240223464e-06,
|
| 145 |
+
"loss": 0.15,
|
| 146 |
+
"step": 425
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.5139664804469275,
|
| 150 |
+
"grad_norm": 6.552338600158691,
|
| 151 |
+
"learning_rate": 4.860335195530726e-06,
|
| 152 |
+
"loss": 0.1361,
|
| 153 |
+
"step": 450
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.653631284916201,
|
| 157 |
+
"grad_norm": 8.521238327026367,
|
| 158 |
+
"learning_rate": 3.463687150837989e-06,
|
| 159 |
+
"loss": 0.1159,
|
| 160 |
+
"step": 475
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.793296089385475,
|
| 164 |
+
"grad_norm": 14.332450866699219,
|
| 165 |
+
"learning_rate": 2.0670391061452514e-06,
|
| 166 |
+
"loss": 0.1141,
|
| 167 |
+
"step": 500
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.9329608938547485,
|
| 171 |
+
"grad_norm": 6.633162021636963,
|
| 172 |
+
"learning_rate": 6.70391061452514e-07,
|
| 173 |
+
"loss": 0.0935,
|
| 174 |
+
"step": 525
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 3.0,
|
| 178 |
+
"eval_loss": 0.28716450929641724,
|
| 179 |
+
"eval_matthews_correlation": 0.7823569443931843,
|
| 180 |
+
"eval_runtime": 1.5348,
|
| 181 |
+
"eval_samples_per_second": 679.556,
|
| 182 |
+
"eval_steps_per_second": 7.167,
|
| 183 |
+
"step": 537
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 3.0,
|
| 187 |
+
"step": 537,
|
| 188 |
+
"total_flos": 395035512109056.0,
|
| 189 |
+
"train_loss": 0.227474433083774,
|
| 190 |
+
"train_runtime": 70.5688,
|
| 191 |
+
"train_samples_per_second": 363.517,
|
| 192 |
+
"train_steps_per_second": 7.61
|
| 193 |
+
}
|
| 194 |
+
],
|
| 195 |
+
"logging_steps": 25,
|
| 196 |
+
"max_steps": 537,
|
| 197 |
+
"num_input_tokens_seen": 0,
|
| 198 |
+
"num_train_epochs": 3,
|
| 199 |
+
"save_steps": 500,
|
| 200 |
+
"stateful_callbacks": {
|
| 201 |
+
"TrainerControl": {
|
| 202 |
+
"args": {
|
| 203 |
+
"should_epoch_stop": false,
|
| 204 |
+
"should_evaluate": false,
|
| 205 |
+
"should_log": false,
|
| 206 |
+
"should_save": false,
|
| 207 |
+
"should_training_stop": false
|
| 208 |
+
},
|
| 209 |
+
"attributes": {}
|
| 210 |
+
}
|
| 211 |
+
},
|
| 212 |
+
"total_flos": 395035512109056.0,
|
| 213 |
+
"train_batch_size": 48,
|
| 214 |
+
"trial_name": null,
|
| 215 |
+
"trial_params": null
|
| 216 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_43/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.32399871945381165,
|
| 4 |
+
"eval_matthews_correlation": 0.7493680462422366,
|
| 5 |
+
"eval_runtime": 2.0646,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 505.177,
|
| 8 |
+
"eval_steps_per_second": 5.328,
|
| 9 |
+
"total_flos": 392514650311680.0,
|
| 10 |
+
"train_loss": 0.23861054157633577,
|
| 11 |
+
"train_runtime": 65.9898,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 388.742,
|
| 14 |
+
"train_steps_per_second": 8.138
|
| 15 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_43/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.32399871945381165,
|
| 4 |
+
"eval_matthews_correlation": 0.7493680462422366,
|
| 5 |
+
"eval_runtime": 2.0646,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 505.177,
|
| 8 |
+
"eval_steps_per_second": 5.328
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/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 128 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 25 --report_to none --num_train_epochs 3 --learning_rate 3e-05 --per_device_train_batch_size 48 --per_device_eval_batch_size 96 --gradient_accumulation_steps 1 --dataloader_num_workers 1 --seed 43 --output_dir result_ablation_mbert/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 4 --head_dim 32 --classifier_hidden_dim 512 --head_dropout 0.05
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_43/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 392514650311680.0,
|
| 4 |
+
"train_loss": 0.23861054157633577,
|
| 5 |
+
"train_runtime": 65.9898,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 388.742,
|
| 8 |
+
"train_steps_per_second": 8.138
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_43/trainer_state.json
ADDED
|
@@ -0,0 +1,216 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 537,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.13966480446927373,
|
| 13 |
+
"grad_norm": 9.139832496643066,
|
| 14 |
+
"learning_rate": 2.8603351955307262e-05,
|
| 15 |
+
"loss": 0.5302,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.27932960893854747,
|
| 20 |
+
"grad_norm": 3.687873125076294,
|
| 21 |
+
"learning_rate": 2.7206703910614527e-05,
|
| 22 |
+
"loss": 0.4152,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.41899441340782123,
|
| 27 |
+
"grad_norm": 4.108961582183838,
|
| 28 |
+
"learning_rate": 2.5810055865921788e-05,
|
| 29 |
+
"loss": 0.3662,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.5586592178770949,
|
| 34 |
+
"grad_norm": 5.980782985687256,
|
| 35 |
+
"learning_rate": 2.441340782122905e-05,
|
| 36 |
+
"loss": 0.3401,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.6983240223463687,
|
| 41 |
+
"grad_norm": 4.232458591461182,
|
| 42 |
+
"learning_rate": 2.3016759776536314e-05,
|
| 43 |
+
"loss": 0.3319,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.8379888268156425,
|
| 48 |
+
"grad_norm": 4.3962273597717285,
|
| 49 |
+
"learning_rate": 2.1620111731843575e-05,
|
| 50 |
+
"loss": 0.3485,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.9776536312849162,
|
| 55 |
+
"grad_norm": 3.4268150329589844,
|
| 56 |
+
"learning_rate": 2.0223463687150836e-05,
|
| 57 |
+
"loss": 0.3149,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.0,
|
| 62 |
+
"eval_loss": 0.25328266620635986,
|
| 63 |
+
"eval_matthews_correlation": 0.7473565685735221,
|
| 64 |
+
"eval_runtime": 2.1528,
|
| 65 |
+
"eval_samples_per_second": 484.479,
|
| 66 |
+
"eval_steps_per_second": 5.11,
|
| 67 |
+
"step": 179
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 1.1173184357541899,
|
| 71 |
+
"grad_norm": 5.443220138549805,
|
| 72 |
+
"learning_rate": 1.88268156424581e-05,
|
| 73 |
+
"loss": 0.2778,
|
| 74 |
+
"step": 200
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.2569832402234637,
|
| 78 |
+
"grad_norm": 6.192456245422363,
|
| 79 |
+
"learning_rate": 1.7430167597765365e-05,
|
| 80 |
+
"loss": 0.2271,
|
| 81 |
+
"step": 225
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.3966480446927374,
|
| 85 |
+
"grad_norm": 8.065898895263672,
|
| 86 |
+
"learning_rate": 1.6033519553072626e-05,
|
| 87 |
+
"loss": 0.226,
|
| 88 |
+
"step": 250
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.536312849162011,
|
| 92 |
+
"grad_norm": 7.433097839355469,
|
| 93 |
+
"learning_rate": 1.4636871508379887e-05,
|
| 94 |
+
"loss": 0.2264,
|
| 95 |
+
"step": 275
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.675977653631285,
|
| 99 |
+
"grad_norm": 6.765533447265625,
|
| 100 |
+
"learning_rate": 1.324022346368715e-05,
|
| 101 |
+
"loss": 0.1929,
|
| 102 |
+
"step": 300
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.8156424581005588,
|
| 106 |
+
"grad_norm": 7.576679706573486,
|
| 107 |
+
"learning_rate": 1.1843575418994415e-05,
|
| 108 |
+
"loss": 0.1834,
|
| 109 |
+
"step": 325
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.9553072625698324,
|
| 113 |
+
"grad_norm": 5.533838272094727,
|
| 114 |
+
"learning_rate": 1.0446927374301676e-05,
|
| 115 |
+
"loss": 0.1701,
|
| 116 |
+
"step": 350
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 2.0,
|
| 120 |
+
"eval_loss": 0.26969248056411743,
|
| 121 |
+
"eval_matthews_correlation": 0.7638553055158107,
|
| 122 |
+
"eval_runtime": 1.9414,
|
| 123 |
+
"eval_samples_per_second": 537.232,
|
| 124 |
+
"eval_steps_per_second": 5.666,
|
| 125 |
+
"step": 358
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.094972067039106,
|
| 129 |
+
"grad_norm": 3.659409523010254,
|
| 130 |
+
"learning_rate": 9.050279329608939e-06,
|
| 131 |
+
"loss": 0.148,
|
| 132 |
+
"step": 375
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 2.2346368715083798,
|
| 136 |
+
"grad_norm": 3.878593683242798,
|
| 137 |
+
"learning_rate": 7.653631284916202e-06,
|
| 138 |
+
"loss": 0.1344,
|
| 139 |
+
"step": 400
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.3743016759776534,
|
| 143 |
+
"grad_norm": 7.933662414550781,
|
| 144 |
+
"learning_rate": 6.256983240223464e-06,
|
| 145 |
+
"loss": 0.1279,
|
| 146 |
+
"step": 425
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.5139664804469275,
|
| 150 |
+
"grad_norm": 5.110512733459473,
|
| 151 |
+
"learning_rate": 4.860335195530726e-06,
|
| 152 |
+
"loss": 0.1299,
|
| 153 |
+
"step": 450
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.653631284916201,
|
| 157 |
+
"grad_norm": 9.793325424194336,
|
| 158 |
+
"learning_rate": 3.463687150837989e-06,
|
| 159 |
+
"loss": 0.1402,
|
| 160 |
+
"step": 475
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.793296089385475,
|
| 164 |
+
"grad_norm": 6.29339599609375,
|
| 165 |
+
"learning_rate": 2.0670391061452514e-06,
|
| 166 |
+
"loss": 0.1204,
|
| 167 |
+
"step": 500
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.9329608938547485,
|
| 171 |
+
"grad_norm": 6.874462127685547,
|
| 172 |
+
"learning_rate": 6.70391061452514e-07,
|
| 173 |
+
"loss": 0.1254,
|
| 174 |
+
"step": 525
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 3.0,
|
| 178 |
+
"eval_loss": 0.32399871945381165,
|
| 179 |
+
"eval_matthews_correlation": 0.7493680462422366,
|
| 180 |
+
"eval_runtime": 2.086,
|
| 181 |
+
"eval_samples_per_second": 500.01,
|
| 182 |
+
"eval_steps_per_second": 5.273,
|
| 183 |
+
"step": 537
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 3.0,
|
| 187 |
+
"step": 537,
|
| 188 |
+
"total_flos": 392514650311680.0,
|
| 189 |
+
"train_loss": 0.23861054157633577,
|
| 190 |
+
"train_runtime": 65.9898,
|
| 191 |
+
"train_samples_per_second": 388.742,
|
| 192 |
+
"train_steps_per_second": 8.138
|
| 193 |
+
}
|
| 194 |
+
],
|
| 195 |
+
"logging_steps": 25,
|
| 196 |
+
"max_steps": 537,
|
| 197 |
+
"num_input_tokens_seen": 0,
|
| 198 |
+
"num_train_epochs": 3,
|
| 199 |
+
"save_steps": 500,
|
| 200 |
+
"stateful_callbacks": {
|
| 201 |
+
"TrainerControl": {
|
| 202 |
+
"args": {
|
| 203 |
+
"should_epoch_stop": false,
|
| 204 |
+
"should_evaluate": false,
|
| 205 |
+
"should_log": false,
|
| 206 |
+
"should_save": false,
|
| 207 |
+
"should_training_stop": false
|
| 208 |
+
},
|
| 209 |
+
"attributes": {}
|
| 210 |
+
}
|
| 211 |
+
},
|
| 212 |
+
"total_flos": 392514650311680.0,
|
| 213 |
+
"train_batch_size": 48,
|
| 214 |
+
"trial_name": null,
|
| 215 |
+
"trial_params": null
|
| 216 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_44/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.32878631353378296,
|
| 4 |
+
"eval_matthews_correlation": 0.7731698517570625,
|
| 5 |
+
"eval_runtime": 1.3926,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 748.937,
|
| 8 |
+
"eval_steps_per_second": 7.899,
|
| 9 |
+
"total_flos": 393644211158016.0,
|
| 10 |
+
"train_loss": 0.22196905217801172,
|
| 11 |
+
"train_runtime": 67.8005,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 378.36,
|
| 14 |
+
"train_steps_per_second": 7.92
|
| 15 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_44/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.32878631353378296,
|
| 4 |
+
"eval_matthews_correlation": 0.7731698517570625,
|
| 5 |
+
"eval_runtime": 1.3926,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 748.937,
|
| 8 |
+
"eval_steps_per_second": 7.899
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/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 128 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 25 --report_to none --num_train_epochs 3 --learning_rate 3e-05 --per_device_train_batch_size 48 --per_device_eval_batch_size 96 --gradient_accumulation_steps 1 --dataloader_num_workers 1 --seed 44 --output_dir result_ablation_mbert/cola/mBERT/max/seed_44 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save --use_mha true --pooling_strategy max --n_heads 4 --head_dim 32 --classifier_hidden_dim 512 --head_dropout 0.05
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_44/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 393644211158016.0,
|
| 4 |
+
"train_loss": 0.22196905217801172,
|
| 5 |
+
"train_runtime": 67.8005,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 378.36,
|
| 8 |
+
"train_steps_per_second": 7.92
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/max/seed_44/trainer_state.json
ADDED
|
@@ -0,0 +1,216 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 537,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.13966480446927373,
|
| 13 |
+
"grad_norm": 6.849033355712891,
|
| 14 |
+
"learning_rate": 2.8603351955307262e-05,
|
| 15 |
+
"loss": 0.5163,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.27932960893854747,
|
| 20 |
+
"grad_norm": 5.070627212524414,
|
| 21 |
+
"learning_rate": 2.7206703910614527e-05,
|
| 22 |
+
"loss": 0.4104,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.41899441340782123,
|
| 27 |
+
"grad_norm": 3.0494155883789062,
|
| 28 |
+
"learning_rate": 2.5810055865921788e-05,
|
| 29 |
+
"loss": 0.3756,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.5586592178770949,
|
| 34 |
+
"grad_norm": 4.307983875274658,
|
| 35 |
+
"learning_rate": 2.441340782122905e-05,
|
| 36 |
+
"loss": 0.3287,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.6983240223463687,
|
| 41 |
+
"grad_norm": 4.704650402069092,
|
| 42 |
+
"learning_rate": 2.3016759776536314e-05,
|
| 43 |
+
"loss": 0.3062,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.8379888268156425,
|
| 48 |
+
"grad_norm": 5.402581691741943,
|
| 49 |
+
"learning_rate": 2.1620111731843575e-05,
|
| 50 |
+
"loss": 0.3113,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.9776536312849162,
|
| 55 |
+
"grad_norm": 4.690877914428711,
|
| 56 |
+
"learning_rate": 2.0223463687150836e-05,
|
| 57 |
+
"loss": 0.2858,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.0,
|
| 62 |
+
"eval_loss": 0.27267423272132874,
|
| 63 |
+
"eval_matthews_correlation": 0.7517307484998179,
|
| 64 |
+
"eval_runtime": 1.754,
|
| 65 |
+
"eval_samples_per_second": 594.638,
|
| 66 |
+
"eval_steps_per_second": 6.271,
|
| 67 |
+
"step": 179
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 1.1173184357541899,
|
| 71 |
+
"grad_norm": 6.862037181854248,
|
| 72 |
+
"learning_rate": 1.88268156424581e-05,
|
| 73 |
+
"loss": 0.1996,
|
| 74 |
+
"step": 200
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.2569832402234637,
|
| 78 |
+
"grad_norm": 7.150571346282959,
|
| 79 |
+
"learning_rate": 1.7430167597765365e-05,
|
| 80 |
+
"loss": 0.2217,
|
| 81 |
+
"step": 225
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.3966480446927374,
|
| 85 |
+
"grad_norm": 6.441170692443848,
|
| 86 |
+
"learning_rate": 1.6033519553072626e-05,
|
| 87 |
+
"loss": 0.2041,
|
| 88 |
+
"step": 250
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.536312849162011,
|
| 92 |
+
"grad_norm": 6.917917728424072,
|
| 93 |
+
"learning_rate": 1.4636871508379887e-05,
|
| 94 |
+
"loss": 0.1958,
|
| 95 |
+
"step": 275
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.675977653631285,
|
| 99 |
+
"grad_norm": 7.2949323654174805,
|
| 100 |
+
"learning_rate": 1.324022346368715e-05,
|
| 101 |
+
"loss": 0.1812,
|
| 102 |
+
"step": 300
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.8156424581005588,
|
| 106 |
+
"grad_norm": 7.782524585723877,
|
| 107 |
+
"learning_rate": 1.1843575418994415e-05,
|
| 108 |
+
"loss": 0.2074,
|
| 109 |
+
"step": 325
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.9553072625698324,
|
| 113 |
+
"grad_norm": 4.0520501136779785,
|
| 114 |
+
"learning_rate": 1.0446927374301676e-05,
|
| 115 |
+
"loss": 0.1757,
|
| 116 |
+
"step": 350
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 2.0,
|
| 120 |
+
"eval_loss": 0.28867119550704956,
|
| 121 |
+
"eval_matthews_correlation": 0.7847385093120407,
|
| 122 |
+
"eval_runtime": 1.7215,
|
| 123 |
+
"eval_samples_per_second": 605.882,
|
| 124 |
+
"eval_steps_per_second": 6.39,
|
| 125 |
+
"step": 358
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.094972067039106,
|
| 129 |
+
"grad_norm": 13.147331237792969,
|
| 130 |
+
"learning_rate": 9.050279329608939e-06,
|
| 131 |
+
"loss": 0.1415,
|
| 132 |
+
"step": 375
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 2.2346368715083798,
|
| 136 |
+
"grad_norm": 8.715579986572266,
|
| 137 |
+
"learning_rate": 7.653631284916202e-06,
|
| 138 |
+
"loss": 0.1029,
|
| 139 |
+
"step": 400
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.3743016759776534,
|
| 143 |
+
"grad_norm": 6.811680793762207,
|
| 144 |
+
"learning_rate": 6.256983240223464e-06,
|
| 145 |
+
"loss": 0.1292,
|
| 146 |
+
"step": 425
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.5139664804469275,
|
| 150 |
+
"grad_norm": 10.589837074279785,
|
| 151 |
+
"learning_rate": 4.860335195530726e-06,
|
| 152 |
+
"loss": 0.1187,
|
| 153 |
+
"step": 450
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.653631284916201,
|
| 157 |
+
"grad_norm": 9.207088470458984,
|
| 158 |
+
"learning_rate": 3.463687150837989e-06,
|
| 159 |
+
"loss": 0.1061,
|
| 160 |
+
"step": 475
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.793296089385475,
|
| 164 |
+
"grad_norm": 6.109454154968262,
|
| 165 |
+
"learning_rate": 2.0670391061452514e-06,
|
| 166 |
+
"loss": 0.092,
|
| 167 |
+
"step": 500
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.9329608938547485,
|
| 171 |
+
"grad_norm": 4.249560832977295,
|
| 172 |
+
"learning_rate": 6.70391061452514e-07,
|
| 173 |
+
"loss": 0.1076,
|
| 174 |
+
"step": 525
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 3.0,
|
| 178 |
+
"eval_loss": 0.32878631353378296,
|
| 179 |
+
"eval_matthews_correlation": 0.7731698517570625,
|
| 180 |
+
"eval_runtime": 2.088,
|
| 181 |
+
"eval_samples_per_second": 499.518,
|
| 182 |
+
"eval_steps_per_second": 5.268,
|
| 183 |
+
"step": 537
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 3.0,
|
| 187 |
+
"step": 537,
|
| 188 |
+
"total_flos": 393644211158016.0,
|
| 189 |
+
"train_loss": 0.22196905217801172,
|
| 190 |
+
"train_runtime": 67.8005,
|
| 191 |
+
"train_samples_per_second": 378.36,
|
| 192 |
+
"train_steps_per_second": 7.92
|
| 193 |
+
}
|
| 194 |
+
],
|
| 195 |
+
"logging_steps": 25,
|
| 196 |
+
"max_steps": 537,
|
| 197 |
+
"num_input_tokens_seen": 0,
|
| 198 |
+
"num_train_epochs": 3,
|
| 199 |
+
"save_steps": 500,
|
| 200 |
+
"stateful_callbacks": {
|
| 201 |
+
"TrainerControl": {
|
| 202 |
+
"args": {
|
| 203 |
+
"should_epoch_stop": false,
|
| 204 |
+
"should_evaluate": false,
|
| 205 |
+
"should_log": false,
|
| 206 |
+
"should_save": false,
|
| 207 |
+
"should_training_stop": false
|
| 208 |
+
},
|
| 209 |
+
"attributes": {}
|
| 210 |
+
}
|
| 211 |
+
},
|
| 212 |
+
"total_flos": 393644211158016.0,
|
| 213 |
+
"train_batch_size": 48,
|
| 214 |
+
"trial_name": null,
|
| 215 |
+
"trial_params": null
|
| 216 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/mean/seed_42/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2967136800289154,
|
| 4 |
+
"eval_matthews_correlation": 0.7635290646756514,
|
| 5 |
+
"eval_runtime": 1.4434,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 722.592,
|
| 8 |
+
"eval_steps_per_second": 7.621,
|
| 9 |
+
"total_flos": 395035512109056.0,
|
| 10 |
+
"train_loss": 0.2256952981487111,
|
| 11 |
+
"train_runtime": 70.3903,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 364.44,
|
| 14 |
+
"train_steps_per_second": 7.629
|
| 15 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/mean/seed_42/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2967136800289154,
|
| 4 |
+
"eval_matthews_correlation": 0.7635290646756514,
|
| 5 |
+
"eval_runtime": 1.4434,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 722.592,
|
| 8 |
+
"eval_steps_per_second": 7.621
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/mean/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 128 --do_train --do_eval --evaluation_strategy epoch --save_strategy no --logging_strategy steps --logging_steps 25 --report_to none --num_train_epochs 3 --learning_rate 3e-05 --per_device_train_batch_size 48 --per_device_eval_batch_size 96 --gradient_accumulation_steps 1 --dataloader_num_workers 1 --seed 42 --output_dir result_ablation_mbert/cola/mBERT/mean/seed_42 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save --use_mha true --pooling_strategy mean --n_heads 4 --head_dim 32 --classifier_hidden_dim 512 --head_dropout 0.05
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/mean/seed_42/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 395035512109056.0,
|
| 4 |
+
"train_loss": 0.2256952981487111,
|
| 5 |
+
"train_runtime": 70.3903,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 364.44,
|
| 8 |
+
"train_steps_per_second": 7.629
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/mean/seed_42/trainer_state.json
ADDED
|
@@ -0,0 +1,216 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 537,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.13966480446927373,
|
| 13 |
+
"grad_norm": 9.855199813842773,
|
| 14 |
+
"learning_rate": 2.8603351955307262e-05,
|
| 15 |
+
"loss": 0.4923,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.27932960893854747,
|
| 20 |
+
"grad_norm": 6.724723815917969,
|
| 21 |
+
"learning_rate": 2.7206703910614527e-05,
|
| 22 |
+
"loss": 0.3936,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.41899441340782123,
|
| 27 |
+
"grad_norm": 6.128042697906494,
|
| 28 |
+
"learning_rate": 2.5810055865921788e-05,
|
| 29 |
+
"loss": 0.3318,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.5586592178770949,
|
| 34 |
+
"grad_norm": 6.443691730499268,
|
| 35 |
+
"learning_rate": 2.441340782122905e-05,
|
| 36 |
+
"loss": 0.3282,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.6983240223463687,
|
| 41 |
+
"grad_norm": 5.052712440490723,
|
| 42 |
+
"learning_rate": 2.3016759776536314e-05,
|
| 43 |
+
"loss": 0.3461,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.8379888268156425,
|
| 48 |
+
"grad_norm": 5.698122024536133,
|
| 49 |
+
"learning_rate": 2.1620111731843575e-05,
|
| 50 |
+
"loss": 0.2792,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.9776536312849162,
|
| 55 |
+
"grad_norm": 7.067698955535889,
|
| 56 |
+
"learning_rate": 2.0223463687150836e-05,
|
| 57 |
+
"loss": 0.314,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.0,
|
| 62 |
+
"eval_loss": 0.2573047876358032,
|
| 63 |
+
"eval_matthews_correlation": 0.7623108902059486,
|
| 64 |
+
"eval_runtime": 1.7886,
|
| 65 |
+
"eval_samples_per_second": 583.148,
|
| 66 |
+
"eval_steps_per_second": 6.15,
|
| 67 |
+
"step": 179
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 1.1173184357541899,
|
| 71 |
+
"grad_norm": 6.118077754974365,
|
| 72 |
+
"learning_rate": 1.88268156424581e-05,
|
| 73 |
+
"loss": 0.2532,
|
| 74 |
+
"step": 200
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.2569832402234637,
|
| 78 |
+
"grad_norm": 4.651660919189453,
|
| 79 |
+
"learning_rate": 1.7430167597765365e-05,
|
| 80 |
+
"loss": 0.2332,
|
| 81 |
+
"step": 225
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.3966480446927374,
|
| 85 |
+
"grad_norm": 5.305139064788818,
|
| 86 |
+
"learning_rate": 1.6033519553072626e-05,
|
| 87 |
+
"loss": 0.1947,
|
| 88 |
+
"step": 250
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.536312849162011,
|
| 92 |
+
"grad_norm": 4.12755012512207,
|
| 93 |
+
"learning_rate": 1.4636871508379887e-05,
|
| 94 |
+
"loss": 0.1812,
|
| 95 |
+
"step": 275
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.675977653631285,
|
| 99 |
+
"grad_norm": 5.024567604064941,
|
| 100 |
+
"learning_rate": 1.324022346368715e-05,
|
| 101 |
+
"loss": 0.2205,
|
| 102 |
+
"step": 300
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.8156424581005588,
|
| 106 |
+
"grad_norm": 5.94950532913208,
|
| 107 |
+
"learning_rate": 1.1843575418994415e-05,
|
| 108 |
+
"loss": 0.1798,
|
| 109 |
+
"step": 325
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.9553072625698324,
|
| 113 |
+
"grad_norm": 9.54784107208252,
|
| 114 |
+
"learning_rate": 1.0446927374301676e-05,
|
| 115 |
+
"loss": 0.1944,
|
| 116 |
+
"step": 350
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 2.0,
|
| 120 |
+
"eval_loss": 0.25511619448661804,
|
| 121 |
+
"eval_matthews_correlation": 0.7660475389427814,
|
| 122 |
+
"eval_runtime": 1.5492,
|
| 123 |
+
"eval_samples_per_second": 673.249,
|
| 124 |
+
"eval_steps_per_second": 7.1,
|
| 125 |
+
"step": 358
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.094972067039106,
|
| 129 |
+
"grad_norm": 5.767430782318115,
|
| 130 |
+
"learning_rate": 9.050279329608939e-06,
|
| 131 |
+
"loss": 0.1658,
|
| 132 |
+
"step": 375
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 2.2346368715083798,
|
| 136 |
+
"grad_norm": 6.832909107208252,
|
| 137 |
+
"learning_rate": 7.653631284916202e-06,
|
| 138 |
+
"loss": 0.1006,
|
| 139 |
+
"step": 400
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.3743016759776534,
|
| 143 |
+
"grad_norm": 12.019317626953125,
|
| 144 |
+
"learning_rate": 6.256983240223464e-06,
|
| 145 |
+
"loss": 0.1479,
|
| 146 |
+
"step": 425
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.5139664804469275,
|
| 150 |
+
"grad_norm": 7.294384956359863,
|
| 151 |
+
"learning_rate": 4.860335195530726e-06,
|
| 152 |
+
"loss": 0.1211,
|
| 153 |
+
"step": 450
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.653631284916201,
|
| 157 |
+
"grad_norm": 10.134602546691895,
|
| 158 |
+
"learning_rate": 3.463687150837989e-06,
|
| 159 |
+
"loss": 0.1114,
|
| 160 |
+
"step": 475
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.793296089385475,
|
| 164 |
+
"grad_norm": 10.2511625289917,
|
| 165 |
+
"learning_rate": 2.0670391061452514e-06,
|
| 166 |
+
"loss": 0.112,
|
| 167 |
+
"step": 500
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.9329608938547485,
|
| 171 |
+
"grad_norm": 7.9914631843566895,
|
| 172 |
+
"learning_rate": 6.70391061452514e-07,
|
| 173 |
+
"loss": 0.1026,
|
| 174 |
+
"step": 525
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 3.0,
|
| 178 |
+
"eval_loss": 0.2967136800289154,
|
| 179 |
+
"eval_matthews_correlation": 0.7635290646756514,
|
| 180 |
+
"eval_runtime": 1.4008,
|
| 181 |
+
"eval_samples_per_second": 744.587,
|
| 182 |
+
"eval_steps_per_second": 7.853,
|
| 183 |
+
"step": 537
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 3.0,
|
| 187 |
+
"step": 537,
|
| 188 |
+
"total_flos": 395035512109056.0,
|
| 189 |
+
"train_loss": 0.2256952981487111,
|
| 190 |
+
"train_runtime": 70.3903,
|
| 191 |
+
"train_samples_per_second": 364.44,
|
| 192 |
+
"train_steps_per_second": 7.629
|
| 193 |
+
}
|
| 194 |
+
],
|
| 195 |
+
"logging_steps": 25,
|
| 196 |
+
"max_steps": 537,
|
| 197 |
+
"num_input_tokens_seen": 0,
|
| 198 |
+
"num_train_epochs": 3,
|
| 199 |
+
"save_steps": 500,
|
| 200 |
+
"stateful_callbacks": {
|
| 201 |
+
"TrainerControl": {
|
| 202 |
+
"args": {
|
| 203 |
+
"should_epoch_stop": false,
|
| 204 |
+
"should_evaluate": false,
|
| 205 |
+
"should_log": false,
|
| 206 |
+
"should_save": false,
|
| 207 |
+
"should_training_stop": false
|
| 208 |
+
},
|
| 209 |
+
"attributes": {}
|
| 210 |
+
}
|
| 211 |
+
},
|
| 212 |
+
"total_flos": 395035512109056.0,
|
| 213 |
+
"train_batch_size": 48,
|
| 214 |
+
"trial_name": null,
|
| 215 |
+
"trial_params": null
|
| 216 |
+
}
|