Upload batch 3/24: cola/mBERT/gated_multi_branch/seed_44 ... cola/mBERT/hf_sequence_classifier/seed_44
Browse files- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/gated_multi_branch/seed_44/all_results.json +15 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/gated_multi_branch/seed_44/eval_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/gated_multi_branch/seed_44/run_command.txt +1 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/gated_multi_branch/seed_44/train_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/gated_multi_branch/seed_44/trainer_state.json +216 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_42/all_results.json +15 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_42/eval_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_42/run_command.txt +1 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_42/train_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_42/trainer_state.json +216 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_43/all_results.json +15 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_43/eval_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_43/run_command.txt +1 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_43/train_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_43/trainer_state.json +216 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_44/all_results.json +15 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_44/eval_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_44/run_command.txt +1 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_44/train_results.json +9 -0
- mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_44/trainer_state.json +216 -0
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/gated_multi_branch/seed_44/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.30894502997398376,
|
| 4 |
+
"eval_matthews_correlation": 0.780066626120282,
|
| 5 |
+
"eval_runtime": 1.3575,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 768.336,
|
| 8 |
+
"eval_steps_per_second": 8.103,
|
| 9 |
+
"total_flos": 406258112236284.0,
|
| 10 |
+
"train_loss": 0.22649634483806247,
|
| 11 |
+
"train_runtime": 65.5442,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 391.385,
|
| 14 |
+
"train_steps_per_second": 8.193
|
| 15 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/gated_multi_branch/seed_44/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.30894502997398376,
|
| 4 |
+
"eval_matthews_correlation": 0.780066626120282,
|
| 5 |
+
"eval_runtime": 1.3575,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 768.336,
|
| 8 |
+
"eval_steps_per_second": 8.103
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/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 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/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 4 --head_dim 32 --classifier_hidden_dim 512 --head_dropout 0.05
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/gated_multi_branch/seed_44/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 406258112236284.0,
|
| 4 |
+
"train_loss": 0.22649634483806247,
|
| 5 |
+
"train_runtime": 65.5442,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 391.385,
|
| 8 |
+
"train_steps_per_second": 8.193
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/gated_multi_branch/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": 7.894700050354004,
|
| 14 |
+
"learning_rate": 2.8603351955307262e-05,
|
| 15 |
+
"loss": 0.5224,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.27932960893854747,
|
| 20 |
+
"grad_norm": 3.6509549617767334,
|
| 21 |
+
"learning_rate": 2.7206703910614527e-05,
|
| 22 |
+
"loss": 0.4222,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.41899441340782123,
|
| 27 |
+
"grad_norm": 4.378454685211182,
|
| 28 |
+
"learning_rate": 2.5810055865921788e-05,
|
| 29 |
+
"loss": 0.3637,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.5586592178770949,
|
| 34 |
+
"grad_norm": 4.795331001281738,
|
| 35 |
+
"learning_rate": 2.441340782122905e-05,
|
| 36 |
+
"loss": 0.3152,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.6983240223463687,
|
| 41 |
+
"grad_norm": 6.246341705322266,
|
| 42 |
+
"learning_rate": 2.3016759776536314e-05,
|
| 43 |
+
"loss": 0.2961,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.8379888268156425,
|
| 48 |
+
"grad_norm": 4.827692031860352,
|
| 49 |
+
"learning_rate": 2.1620111731843575e-05,
|
| 50 |
+
"loss": 0.3178,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.9776536312849162,
|
| 55 |
+
"grad_norm": 7.820989608764648,
|
| 56 |
+
"learning_rate": 2.0223463687150836e-05,
|
| 57 |
+
"loss": 0.3059,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.0,
|
| 62 |
+
"eval_loss": 0.24464663863182068,
|
| 63 |
+
"eval_matthews_correlation": 0.7618656865208808,
|
| 64 |
+
"eval_runtime": 2.6641,
|
| 65 |
+
"eval_samples_per_second": 391.497,
|
| 66 |
+
"eval_steps_per_second": 4.129,
|
| 67 |
+
"step": 179
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 1.1173184357541899,
|
| 71 |
+
"grad_norm": 6.193721294403076,
|
| 72 |
+
"learning_rate": 1.88268156424581e-05,
|
| 73 |
+
"loss": 0.2139,
|
| 74 |
+
"step": 200
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.2569832402234637,
|
| 78 |
+
"grad_norm": 3.6710243225097656,
|
| 79 |
+
"learning_rate": 1.7430167597765365e-05,
|
| 80 |
+
"loss": 0.2027,
|
| 81 |
+
"step": 225
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.3966480446927374,
|
| 85 |
+
"grad_norm": 8.232946395874023,
|
| 86 |
+
"learning_rate": 1.6033519553072626e-05,
|
| 87 |
+
"loss": 0.216,
|
| 88 |
+
"step": 250
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.536312849162011,
|
| 92 |
+
"grad_norm": 4.761744499206543,
|
| 93 |
+
"learning_rate": 1.4636871508379887e-05,
|
| 94 |
+
"loss": 0.1966,
|
| 95 |
+
"step": 275
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.675977653631285,
|
| 99 |
+
"grad_norm": 4.543158531188965,
|
| 100 |
+
"learning_rate": 1.324022346368715e-05,
|
| 101 |
+
"loss": 0.1907,
|
| 102 |
+
"step": 300
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.8156424581005588,
|
| 106 |
+
"grad_norm": 4.386110782623291,
|
| 107 |
+
"learning_rate": 1.1843575418994415e-05,
|
| 108 |
+
"loss": 0.1912,
|
| 109 |
+
"step": 325
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.9553072625698324,
|
| 113 |
+
"grad_norm": 7.197762966156006,
|
| 114 |
+
"learning_rate": 1.0446927374301676e-05,
|
| 115 |
+
"loss": 0.2148,
|
| 116 |
+
"step": 350
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 2.0,
|
| 120 |
+
"eval_loss": 0.26870936155319214,
|
| 121 |
+
"eval_matthews_correlation": 0.7691368380266224,
|
| 122 |
+
"eval_runtime": 1.7555,
|
| 123 |
+
"eval_samples_per_second": 594.136,
|
| 124 |
+
"eval_steps_per_second": 6.266,
|
| 125 |
+
"step": 358
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.094972067039106,
|
| 129 |
+
"grad_norm": 9.516730308532715,
|
| 130 |
+
"learning_rate": 9.050279329608939e-06,
|
| 131 |
+
"loss": 0.144,
|
| 132 |
+
"step": 375
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 2.2346368715083798,
|
| 136 |
+
"grad_norm": 8.45940113067627,
|
| 137 |
+
"learning_rate": 7.653631284916202e-06,
|
| 138 |
+
"loss": 0.1296,
|
| 139 |
+
"step": 400
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.3743016759776534,
|
| 143 |
+
"grad_norm": 4.391194820404053,
|
| 144 |
+
"learning_rate": 6.256983240223464e-06,
|
| 145 |
+
"loss": 0.1091,
|
| 146 |
+
"step": 425
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.5139664804469275,
|
| 150 |
+
"grad_norm": 4.410822868347168,
|
| 151 |
+
"learning_rate": 4.860335195530726e-06,
|
| 152 |
+
"loss": 0.1136,
|
| 153 |
+
"step": 450
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.653631284916201,
|
| 157 |
+
"grad_norm": 10.327372550964355,
|
| 158 |
+
"learning_rate": 3.463687150837989e-06,
|
| 159 |
+
"loss": 0.1195,
|
| 160 |
+
"step": 475
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.793296089385475,
|
| 164 |
+
"grad_norm": 1.6035041809082031,
|
| 165 |
+
"learning_rate": 2.0670391061452514e-06,
|
| 166 |
+
"loss": 0.1084,
|
| 167 |
+
"step": 500
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.9329608938547485,
|
| 171 |
+
"grad_norm": 5.493995666503906,
|
| 172 |
+
"learning_rate": 6.70391061452514e-07,
|
| 173 |
+
"loss": 0.1034,
|
| 174 |
+
"step": 525
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 3.0,
|
| 178 |
+
"eval_loss": 0.30894502997398376,
|
| 179 |
+
"eval_matthews_correlation": 0.780066626120282,
|
| 180 |
+
"eval_runtime": 1.2801,
|
| 181 |
+
"eval_samples_per_second": 814.799,
|
| 182 |
+
"eval_steps_per_second": 8.593,
|
| 183 |
+
"step": 537
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 3.0,
|
| 187 |
+
"step": 537,
|
| 188 |
+
"total_flos": 406258112236284.0,
|
| 189 |
+
"train_loss": 0.22649634483806247,
|
| 190 |
+
"train_runtime": 65.5442,
|
| 191 |
+
"train_samples_per_second": 391.385,
|
| 192 |
+
"train_steps_per_second": 8.193
|
| 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": 406258112236284.0,
|
| 213 |
+
"train_batch_size": 48,
|
| 214 |
+
"trial_name": null,
|
| 215 |
+
"trial_params": null
|
| 216 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_42/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2610536515712738,
|
| 4 |
+
"eval_matthews_correlation": 0.7848625278330646,
|
| 5 |
+
"eval_runtime": 1.4937,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 698.244,
|
| 8 |
+
"eval_steps_per_second": 7.364,
|
| 9 |
+
"total_flos": 393226666678440.0,
|
| 10 |
+
"train_loss": 0.27871723547994093,
|
| 11 |
+
"train_runtime": 70.8579,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 362.034,
|
| 14 |
+
"train_steps_per_second": 7.579
|
| 15 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_42/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2610536515712738,
|
| 4 |
+
"eval_matthews_correlation": 0.7848625278330646,
|
| 5 |
+
"eval_runtime": 1.4937,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 698.244,
|
| 8 |
+
"eval_steps_per_second": 7.364
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/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 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/hf_sequence_classifier/seed_42 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_42/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 393226666678440.0,
|
| 4 |
+
"train_loss": 0.27871723547994093,
|
| 5 |
+
"train_runtime": 70.8579,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 362.034,
|
| 8 |
+
"train_steps_per_second": 7.579
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/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": 20.55608367919922,
|
| 14 |
+
"learning_rate": 2.8603351955307262e-05,
|
| 15 |
+
"loss": 0.624,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.27932960893854747,
|
| 20 |
+
"grad_norm": 4.743398666381836,
|
| 21 |
+
"learning_rate": 2.7206703910614527e-05,
|
| 22 |
+
"loss": 0.5735,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.41899441340782123,
|
| 27 |
+
"grad_norm": 5.640482425689697,
|
| 28 |
+
"learning_rate": 2.5810055865921788e-05,
|
| 29 |
+
"loss": 0.4837,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.5586592178770949,
|
| 34 |
+
"grad_norm": 5.729703903198242,
|
| 35 |
+
"learning_rate": 2.441340782122905e-05,
|
| 36 |
+
"loss": 0.3789,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.6983240223463687,
|
| 41 |
+
"grad_norm": 5.261131286621094,
|
| 42 |
+
"learning_rate": 2.3016759776536314e-05,
|
| 43 |
+
"loss": 0.3747,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.8379888268156425,
|
| 48 |
+
"grad_norm": 6.10923957824707,
|
| 49 |
+
"learning_rate": 2.1620111731843575e-05,
|
| 50 |
+
"loss": 0.3161,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.9776536312849162,
|
| 55 |
+
"grad_norm": 7.458263397216797,
|
| 56 |
+
"learning_rate": 2.0223463687150836e-05,
|
| 57 |
+
"loss": 0.3266,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.0,
|
| 62 |
+
"eval_loss": 0.26663538813591003,
|
| 63 |
+
"eval_matthews_correlation": 0.7666658377335647,
|
| 64 |
+
"eval_runtime": 1.9975,
|
| 65 |
+
"eval_samples_per_second": 522.147,
|
| 66 |
+
"eval_steps_per_second": 5.507,
|
| 67 |
+
"step": 179
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 1.1173184357541899,
|
| 71 |
+
"grad_norm": 5.076351642608643,
|
| 72 |
+
"learning_rate": 1.88268156424581e-05,
|
| 73 |
+
"loss": 0.3197,
|
| 74 |
+
"step": 200
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.2569832402234637,
|
| 78 |
+
"grad_norm": 6.497809886932373,
|
| 79 |
+
"learning_rate": 1.7430167597765365e-05,
|
| 80 |
+
"loss": 0.2894,
|
| 81 |
+
"step": 225
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.3966480446927374,
|
| 85 |
+
"grad_norm": 3.972665548324585,
|
| 86 |
+
"learning_rate": 1.6033519553072626e-05,
|
| 87 |
+
"loss": 0.247,
|
| 88 |
+
"step": 250
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.536312849162011,
|
| 92 |
+
"grad_norm": 8.7925386428833,
|
| 93 |
+
"learning_rate": 1.4636871508379887e-05,
|
| 94 |
+
"loss": 0.2082,
|
| 95 |
+
"step": 275
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.675977653631285,
|
| 99 |
+
"grad_norm": 7.290075302124023,
|
| 100 |
+
"learning_rate": 1.324022346368715e-05,
|
| 101 |
+
"loss": 0.2508,
|
| 102 |
+
"step": 300
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.8156424581005588,
|
| 106 |
+
"grad_norm": 6.401366710662842,
|
| 107 |
+
"learning_rate": 1.1843575418994415e-05,
|
| 108 |
+
"loss": 0.2202,
|
| 109 |
+
"step": 325
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.9553072625698324,
|
| 113 |
+
"grad_norm": 6.282566547393799,
|
| 114 |
+
"learning_rate": 1.0446927374301676e-05,
|
| 115 |
+
"loss": 0.2297,
|
| 116 |
+
"step": 350
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 2.0,
|
| 120 |
+
"eval_loss": 0.2509293258190155,
|
| 121 |
+
"eval_matthews_correlation": 0.7573297015336248,
|
| 122 |
+
"eval_runtime": 1.5516,
|
| 123 |
+
"eval_samples_per_second": 672.19,
|
| 124 |
+
"eval_steps_per_second": 7.089,
|
| 125 |
+
"step": 358
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.094972067039106,
|
| 129 |
+
"grad_norm": 5.3574724197387695,
|
| 130 |
+
"learning_rate": 9.050279329608939e-06,
|
| 131 |
+
"loss": 0.2098,
|
| 132 |
+
"step": 375
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 2.2346368715083798,
|
| 136 |
+
"grad_norm": 11.248693466186523,
|
| 137 |
+
"learning_rate": 7.653631284916202e-06,
|
| 138 |
+
"loss": 0.1342,
|
| 139 |
+
"step": 400
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.3743016759776534,
|
| 143 |
+
"grad_norm": 19.597501754760742,
|
| 144 |
+
"learning_rate": 6.256983240223464e-06,
|
| 145 |
+
"loss": 0.1674,
|
| 146 |
+
"step": 425
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.5139664804469275,
|
| 150 |
+
"grad_norm": 9.087995529174805,
|
| 151 |
+
"learning_rate": 4.860335195530726e-06,
|
| 152 |
+
"loss": 0.1413,
|
| 153 |
+
"step": 450
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.653631284916201,
|
| 157 |
+
"grad_norm": 6.359992980957031,
|
| 158 |
+
"learning_rate": 3.463687150837989e-06,
|
| 159 |
+
"loss": 0.1596,
|
| 160 |
+
"step": 475
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.793296089385475,
|
| 164 |
+
"grad_norm": 7.049188137054443,
|
| 165 |
+
"learning_rate": 2.0670391061452514e-06,
|
| 166 |
+
"loss": 0.1406,
|
| 167 |
+
"step": 500
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.9329608938547485,
|
| 171 |
+
"grad_norm": 7.78603458404541,
|
| 172 |
+
"learning_rate": 6.70391061452514e-07,
|
| 173 |
+
"loss": 0.1308,
|
| 174 |
+
"step": 525
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 3.0,
|
| 178 |
+
"eval_loss": 0.2610536515712738,
|
| 179 |
+
"eval_matthews_correlation": 0.7848625278330646,
|
| 180 |
+
"eval_runtime": 1.5752,
|
| 181 |
+
"eval_samples_per_second": 662.125,
|
| 182 |
+
"eval_steps_per_second": 6.983,
|
| 183 |
+
"step": 537
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 3.0,
|
| 187 |
+
"step": 537,
|
| 188 |
+
"total_flos": 393226666678440.0,
|
| 189 |
+
"train_loss": 0.27871723547994093,
|
| 190 |
+
"train_runtime": 70.8579,
|
| 191 |
+
"train_samples_per_second": 362.034,
|
| 192 |
+
"train_steps_per_second": 7.579
|
| 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": 393226666678440.0,
|
| 213 |
+
"train_batch_size": 48,
|
| 214 |
+
"trial_name": null,
|
| 215 |
+
"trial_params": null
|
| 216 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_43/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.31756097078323364,
|
| 4 |
+
"eval_matthews_correlation": 0.7734460694651355,
|
| 5 |
+
"eval_runtime": 1.4405,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 724.074,
|
| 8 |
+
"eval_steps_per_second": 7.636,
|
| 9 |
+
"total_flos": 390717347765700.0,
|
| 10 |
+
"train_loss": 0.24823517306556914,
|
| 11 |
+
"train_runtime": 70.5669,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 363.527,
|
| 14 |
+
"train_steps_per_second": 7.61
|
| 15 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_43/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.31756097078323364,
|
| 4 |
+
"eval_matthews_correlation": 0.7734460694651355,
|
| 5 |
+
"eval_runtime": 1.4405,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 724.074,
|
| 8 |
+
"eval_steps_per_second": 7.636
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/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 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/hf_sequence_classifier/seed_43 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_43/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 390717347765700.0,
|
| 4 |
+
"train_loss": 0.24823517306556914,
|
| 5 |
+
"train_runtime": 70.5669,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 363.527,
|
| 8 |
+
"train_steps_per_second": 7.61
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/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": 6.581408977508545,
|
| 14 |
+
"learning_rate": 2.8603351955307262e-05,
|
| 15 |
+
"loss": 0.5636,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.27932960893854747,
|
| 20 |
+
"grad_norm": 11.804716110229492,
|
| 21 |
+
"learning_rate": 2.7206703910614527e-05,
|
| 22 |
+
"loss": 0.4382,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.41899441340782123,
|
| 27 |
+
"grad_norm": 4.38754940032959,
|
| 28 |
+
"learning_rate": 2.5810055865921788e-05,
|
| 29 |
+
"loss": 0.3702,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.5586592178770949,
|
| 34 |
+
"grad_norm": 5.732598781585693,
|
| 35 |
+
"learning_rate": 2.441340782122905e-05,
|
| 36 |
+
"loss": 0.3414,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.6983240223463687,
|
| 41 |
+
"grad_norm": 3.4510881900787354,
|
| 42 |
+
"learning_rate": 2.3016759776536314e-05,
|
| 43 |
+
"loss": 0.3388,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.8379888268156425,
|
| 48 |
+
"grad_norm": 6.2728729248046875,
|
| 49 |
+
"learning_rate": 2.1620111731843575e-05,
|
| 50 |
+
"loss": 0.3279,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.9776536312849162,
|
| 55 |
+
"grad_norm": 4.220879077911377,
|
| 56 |
+
"learning_rate": 2.0223463687150836e-05,
|
| 57 |
+
"loss": 0.3057,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.0,
|
| 62 |
+
"eval_loss": 0.2580081820487976,
|
| 63 |
+
"eval_matthews_correlation": 0.7712806700875474,
|
| 64 |
+
"eval_runtime": 1.9021,
|
| 65 |
+
"eval_samples_per_second": 548.336,
|
| 66 |
+
"eval_steps_per_second": 5.783,
|
| 67 |
+
"step": 179
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 1.1173184357541899,
|
| 71 |
+
"grad_norm": 4.043488025665283,
|
| 72 |
+
"learning_rate": 1.88268156424581e-05,
|
| 73 |
+
"loss": 0.2786,
|
| 74 |
+
"step": 200
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.2569832402234637,
|
| 78 |
+
"grad_norm": 5.739426612854004,
|
| 79 |
+
"learning_rate": 1.7430167597765365e-05,
|
| 80 |
+
"loss": 0.2455,
|
| 81 |
+
"step": 225
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.3966480446927374,
|
| 85 |
+
"grad_norm": 7.959273815155029,
|
| 86 |
+
"learning_rate": 1.6033519553072626e-05,
|
| 87 |
+
"loss": 0.2405,
|
| 88 |
+
"step": 250
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.536312849162011,
|
| 92 |
+
"grad_norm": 7.122917652130127,
|
| 93 |
+
"learning_rate": 1.4636871508379887e-05,
|
| 94 |
+
"loss": 0.2357,
|
| 95 |
+
"step": 275
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.675977653631285,
|
| 99 |
+
"grad_norm": 7.435409069061279,
|
| 100 |
+
"learning_rate": 1.324022346368715e-05,
|
| 101 |
+
"loss": 0.2042,
|
| 102 |
+
"step": 300
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.8156424581005588,
|
| 106 |
+
"grad_norm": 9.217028617858887,
|
| 107 |
+
"learning_rate": 1.1843575418994415e-05,
|
| 108 |
+
"loss": 0.1912,
|
| 109 |
+
"step": 325
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.9553072625698324,
|
| 113 |
+
"grad_norm": 7.499634265899658,
|
| 114 |
+
"learning_rate": 1.0446927374301676e-05,
|
| 115 |
+
"loss": 0.2048,
|
| 116 |
+
"step": 350
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 2.0,
|
| 120 |
+
"eval_loss": 0.24817638099193573,
|
| 121 |
+
"eval_matthews_correlation": 0.7707964764354,
|
| 122 |
+
"eval_runtime": 1.4532,
|
| 123 |
+
"eval_samples_per_second": 717.75,
|
| 124 |
+
"eval_steps_per_second": 7.57,
|
| 125 |
+
"step": 358
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.094972067039106,
|
| 129 |
+
"grad_norm": 3.717542886734009,
|
| 130 |
+
"learning_rate": 9.050279329608939e-06,
|
| 131 |
+
"loss": 0.1749,
|
| 132 |
+
"step": 375
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 2.2346368715083798,
|
| 136 |
+
"grad_norm": 2.3178093433380127,
|
| 137 |
+
"learning_rate": 7.653631284916202e-06,
|
| 138 |
+
"loss": 0.1468,
|
| 139 |
+
"step": 400
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.3743016759776534,
|
| 143 |
+
"grad_norm": 7.624992370605469,
|
| 144 |
+
"learning_rate": 6.256983240223464e-06,
|
| 145 |
+
"loss": 0.1287,
|
| 146 |
+
"step": 425
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.5139664804469275,
|
| 150 |
+
"grad_norm": 9.634353637695312,
|
| 151 |
+
"learning_rate": 4.860335195530726e-06,
|
| 152 |
+
"loss": 0.1377,
|
| 153 |
+
"step": 450
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.653631284916201,
|
| 157 |
+
"grad_norm": 5.767144680023193,
|
| 158 |
+
"learning_rate": 3.463687150837989e-06,
|
| 159 |
+
"loss": 0.1396,
|
| 160 |
+
"step": 475
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.793296089385475,
|
| 164 |
+
"grad_norm": 6.6265459060668945,
|
| 165 |
+
"learning_rate": 2.0670391061452514e-06,
|
| 166 |
+
"loss": 0.1309,
|
| 167 |
+
"step": 500
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.9329608938547485,
|
| 171 |
+
"grad_norm": 8.028974533081055,
|
| 172 |
+
"learning_rate": 6.70391061452514e-07,
|
| 173 |
+
"loss": 0.1325,
|
| 174 |
+
"step": 525
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 3.0,
|
| 178 |
+
"eval_loss": 0.31756097078323364,
|
| 179 |
+
"eval_matthews_correlation": 0.7734460694651355,
|
| 180 |
+
"eval_runtime": 1.4279,
|
| 181 |
+
"eval_samples_per_second": 730.454,
|
| 182 |
+
"eval_steps_per_second": 7.704,
|
| 183 |
+
"step": 537
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 3.0,
|
| 187 |
+
"step": 537,
|
| 188 |
+
"total_flos": 390717347765700.0,
|
| 189 |
+
"train_loss": 0.24823517306556914,
|
| 190 |
+
"train_runtime": 70.5669,
|
| 191 |
+
"train_samples_per_second": 363.527,
|
| 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": 390717347765700.0,
|
| 213 |
+
"train_batch_size": 48,
|
| 214 |
+
"trial_name": null,
|
| 215 |
+
"trial_params": null
|
| 216 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_44/all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2951465845108032,
|
| 4 |
+
"eval_matthews_correlation": 0.7800284888427224,
|
| 5 |
+
"eval_runtime": 1.4836,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 703.013,
|
| 8 |
+
"eval_steps_per_second": 7.414,
|
| 9 |
+
"total_flos": 391841736416340.0,
|
| 10 |
+
"train_loss": 0.23531772815093427,
|
| 11 |
+
"train_runtime": 70.7996,
|
| 12 |
+
"train_samples": 8551,
|
| 13 |
+
"train_samples_per_second": 362.333,
|
| 14 |
+
"train_steps_per_second": 7.585
|
| 15 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_44/eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.2951465845108032,
|
| 4 |
+
"eval_matthews_correlation": 0.7800284888427224,
|
| 5 |
+
"eval_runtime": 1.4836,
|
| 6 |
+
"eval_samples": 1043,
|
| 7 |
+
"eval_samples_per_second": 703.013,
|
| 8 |
+
"eval_steps_per_second": 7.414
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/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 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/hf_sequence_classifier/seed_44 --overwrite_output_dir --trust_remote_code true --bf16 --tf32 true --skip_model_save
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/seed_44/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 391841736416340.0,
|
| 4 |
+
"train_loss": 0.23531772815093427,
|
| 5 |
+
"train_runtime": 70.7996,
|
| 6 |
+
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 362.333,
|
| 8 |
+
"train_steps_per_second": 7.585
|
| 9 |
+
}
|
mbert_rtx6000_metrics/result_ablation_mbert/cola/mBERT/hf_sequence_classifier/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": 6.386740684509277,
|
| 14 |
+
"learning_rate": 2.8603351955307262e-05,
|
| 15 |
+
"loss": 0.5258,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.27932960893854747,
|
| 20 |
+
"grad_norm": 3.3861515522003174,
|
| 21 |
+
"learning_rate": 2.7206703910614527e-05,
|
| 22 |
+
"loss": 0.4253,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.41899441340782123,
|
| 27 |
+
"grad_norm": 3.794750213623047,
|
| 28 |
+
"learning_rate": 2.5810055865921788e-05,
|
| 29 |
+
"loss": 0.3852,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.5586592178770949,
|
| 34 |
+
"grad_norm": 3.815369129180908,
|
| 35 |
+
"learning_rate": 2.441340782122905e-05,
|
| 36 |
+
"loss": 0.336,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.6983240223463687,
|
| 41 |
+
"grad_norm": 7.895872592926025,
|
| 42 |
+
"learning_rate": 2.3016759776536314e-05,
|
| 43 |
+
"loss": 0.3274,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.8379888268156425,
|
| 48 |
+
"grad_norm": 7.099031448364258,
|
| 49 |
+
"learning_rate": 2.1620111731843575e-05,
|
| 50 |
+
"loss": 0.3144,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.9776536312849162,
|
| 55 |
+
"grad_norm": 6.187333583831787,
|
| 56 |
+
"learning_rate": 2.0223463687150836e-05,
|
| 57 |
+
"loss": 0.3006,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.0,
|
| 62 |
+
"eval_loss": 0.23891180753707886,
|
| 63 |
+
"eval_matthews_correlation": 0.773663670490989,
|
| 64 |
+
"eval_runtime": 1.9407,
|
| 65 |
+
"eval_samples_per_second": 537.447,
|
| 66 |
+
"eval_steps_per_second": 5.668,
|
| 67 |
+
"step": 179
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 1.1173184357541899,
|
| 71 |
+
"grad_norm": 7.869960784912109,
|
| 72 |
+
"learning_rate": 1.88268156424581e-05,
|
| 73 |
+
"loss": 0.211,
|
| 74 |
+
"step": 200
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.2569832402234637,
|
| 78 |
+
"grad_norm": 8.176018714904785,
|
| 79 |
+
"learning_rate": 1.7430167597765365e-05,
|
| 80 |
+
"loss": 0.2436,
|
| 81 |
+
"step": 225
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.3966480446927374,
|
| 85 |
+
"grad_norm": 7.732117176055908,
|
| 86 |
+
"learning_rate": 1.6033519553072626e-05,
|
| 87 |
+
"loss": 0.2308,
|
| 88 |
+
"step": 250
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.536312849162011,
|
| 92 |
+
"grad_norm": 6.40506649017334,
|
| 93 |
+
"learning_rate": 1.4636871508379887e-05,
|
| 94 |
+
"loss": 0.2067,
|
| 95 |
+
"step": 275
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.675977653631285,
|
| 99 |
+
"grad_norm": 6.098687648773193,
|
| 100 |
+
"learning_rate": 1.324022346368715e-05,
|
| 101 |
+
"loss": 0.1937,
|
| 102 |
+
"step": 300
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.8156424581005588,
|
| 106 |
+
"grad_norm": 7.470464706420898,
|
| 107 |
+
"learning_rate": 1.1843575418994415e-05,
|
| 108 |
+
"loss": 0.203,
|
| 109 |
+
"step": 325
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.9553072625698324,
|
| 113 |
+
"grad_norm": 5.939926624298096,
|
| 114 |
+
"learning_rate": 1.0446927374301676e-05,
|
| 115 |
+
"loss": 0.2056,
|
| 116 |
+
"step": 350
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 2.0,
|
| 120 |
+
"eval_loss": 0.2881302237510681,
|
| 121 |
+
"eval_matthews_correlation": 0.7711205921878477,
|
| 122 |
+
"eval_runtime": 1.496,
|
| 123 |
+
"eval_samples_per_second": 697.192,
|
| 124 |
+
"eval_steps_per_second": 7.353,
|
| 125 |
+
"step": 358
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.094972067039106,
|
| 129 |
+
"grad_norm": 7.537599563598633,
|
| 130 |
+
"learning_rate": 9.050279329608939e-06,
|
| 131 |
+
"loss": 0.1373,
|
| 132 |
+
"step": 375
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 2.2346368715083798,
|
| 136 |
+
"grad_norm": 13.339438438415527,
|
| 137 |
+
"learning_rate": 7.653631284916202e-06,
|
| 138 |
+
"loss": 0.122,
|
| 139 |
+
"step": 400
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.3743016759776534,
|
| 143 |
+
"grad_norm": 7.579359531402588,
|
| 144 |
+
"learning_rate": 6.256983240223464e-06,
|
| 145 |
+
"loss": 0.1361,
|
| 146 |
+
"step": 425
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.5139664804469275,
|
| 150 |
+
"grad_norm": 8.117977142333984,
|
| 151 |
+
"learning_rate": 4.860335195530726e-06,
|
| 152 |
+
"loss": 0.1345,
|
| 153 |
+
"step": 450
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.653631284916201,
|
| 157 |
+
"grad_norm": 7.523886203765869,
|
| 158 |
+
"learning_rate": 3.463687150837989e-06,
|
| 159 |
+
"loss": 0.1269,
|
| 160 |
+
"step": 475
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.793296089385475,
|
| 164 |
+
"grad_norm": 6.03088903427124,
|
| 165 |
+
"learning_rate": 2.0670391061452514e-06,
|
| 166 |
+
"loss": 0.1163,
|
| 167 |
+
"step": 500
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.9329608938547485,
|
| 171 |
+
"grad_norm": 11.261451721191406,
|
| 172 |
+
"learning_rate": 6.70391061452514e-07,
|
| 173 |
+
"loss": 0.1222,
|
| 174 |
+
"step": 525
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 3.0,
|
| 178 |
+
"eval_loss": 0.2951465845108032,
|
| 179 |
+
"eval_matthews_correlation": 0.7800284888427224,
|
| 180 |
+
"eval_runtime": 1.5256,
|
| 181 |
+
"eval_samples_per_second": 683.659,
|
| 182 |
+
"eval_steps_per_second": 7.21,
|
| 183 |
+
"step": 537
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 3.0,
|
| 187 |
+
"step": 537,
|
| 188 |
+
"total_flos": 391841736416340.0,
|
| 189 |
+
"train_loss": 0.23531772815093427,
|
| 190 |
+
"train_runtime": 70.7996,
|
| 191 |
+
"train_samples_per_second": 362.333,
|
| 192 |
+
"train_steps_per_second": 7.585
|
| 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": 391841736416340.0,
|
| 213 |
+
"train_batch_size": 48,
|
| 214 |
+
"trial_name": null,
|
| 215 |
+
"trial_params": null
|
| 216 |
+
}
|