|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: GQA_BERT_legal_SQuAD_complete_augmented_100 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# GQA_BERT_legal_SQuAD_complete_augmented_100 |
|
|
|
This model was trained from scratch on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2100 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 2e-05 |
|
- train_batch_size: 128 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 100 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 4 | 4.8682 | |
|
| No log | 2.0 | 8 | 4.2730 | |
|
| No log | 3.0 | 12 | 3.6398 | |
|
| No log | 4.0 | 16 | 3.1455 | |
|
| No log | 5.0 | 20 | 2.7297 | |
|
| No log | 6.0 | 24 | 2.3844 | |
|
| No log | 7.0 | 28 | 2.0725 | |
|
| No log | 8.0 | 32 | 1.8236 | |
|
| No log | 9.0 | 36 | 1.6463 | |
|
| No log | 10.0 | 40 | 1.4038 | |
|
| No log | 11.0 | 44 | 1.3019 | |
|
| No log | 12.0 | 48 | 1.2451 | |
|
| No log | 13.0 | 52 | 1.1405 | |
|
| No log | 14.0 | 56 | 1.0619 | |
|
| No log | 15.0 | 60 | 1.0517 | |
|
| No log | 16.0 | 64 | 1.0360 | |
|
| No log | 17.0 | 68 | 1.0107 | |
|
| No log | 18.0 | 72 | 0.9929 | |
|
| No log | 19.0 | 76 | 1.0244 | |
|
| No log | 20.0 | 80 | 1.0331 | |
|
| No log | 21.0 | 84 | 1.0257 | |
|
| No log | 22.0 | 88 | 1.0301 | |
|
| No log | 23.0 | 92 | 1.0251 | |
|
| No log | 24.0 | 96 | 1.0220 | |
|
| No log | 25.0 | 100 | 1.0126 | |
|
| No log | 26.0 | 104 | 1.0261 | |
|
| No log | 27.0 | 108 | 1.0237 | |
|
| No log | 28.0 | 112 | 1.0297 | |
|
| No log | 29.0 | 116 | 1.0327 | |
|
| No log | 30.0 | 120 | 1.0501 | |
|
| No log | 31.0 | 124 | 1.0614 | |
|
| No log | 32.0 | 128 | 1.0668 | |
|
| No log | 33.0 | 132 | 1.0503 | |
|
| No log | 34.0 | 136 | 1.0463 | |
|
| No log | 35.0 | 140 | 1.0490 | |
|
| No log | 36.0 | 144 | 1.0738 | |
|
| No log | 37.0 | 148 | 1.0968 | |
|
| No log | 38.0 | 152 | 1.1256 | |
|
| No log | 39.0 | 156 | 1.1218 | |
|
| No log | 40.0 | 160 | 1.1161 | |
|
| No log | 41.0 | 164 | 1.1145 | |
|
| No log | 42.0 | 168 | 1.1072 | |
|
| No log | 43.0 | 172 | 1.0991 | |
|
| No log | 44.0 | 176 | 1.1346 | |
|
| No log | 45.0 | 180 | 1.1308 | |
|
| No log | 46.0 | 184 | 1.1307 | |
|
| No log | 47.0 | 188 | 1.1457 | |
|
| No log | 48.0 | 192 | 1.1671 | |
|
| No log | 49.0 | 196 | 1.1499 | |
|
| No log | 50.0 | 200 | 1.1410 | |
|
| No log | 51.0 | 204 | 1.1357 | |
|
| No log | 52.0 | 208 | 1.1664 | |
|
| No log | 53.0 | 212 | 1.1656 | |
|
| No log | 54.0 | 216 | 1.1656 | |
|
| No log | 55.0 | 220 | 1.1729 | |
|
| No log | 56.0 | 224 | 1.1928 | |
|
| No log | 57.0 | 228 | 1.1795 | |
|
| No log | 58.0 | 232 | 1.1924 | |
|
| No log | 59.0 | 236 | 1.1687 | |
|
| No log | 60.0 | 240 | 1.1868 | |
|
| No log | 61.0 | 244 | 1.1977 | |
|
| No log | 62.0 | 248 | 1.1880 | |
|
| No log | 63.0 | 252 | 1.1950 | |
|
| No log | 64.0 | 256 | 1.2011 | |
|
| No log | 65.0 | 260 | 1.1962 | |
|
| No log | 66.0 | 264 | 1.1938 | |
|
| No log | 67.0 | 268 | 1.2008 | |
|
| No log | 68.0 | 272 | 1.2157 | |
|
| No log | 69.0 | 276 | 1.2155 | |
|
| No log | 70.0 | 280 | 1.2192 | |
|
| No log | 71.0 | 284 | 1.2031 | |
|
| No log | 72.0 | 288 | 1.2139 | |
|
| No log | 73.0 | 292 | 1.2196 | |
|
| No log | 74.0 | 296 | 1.2374 | |
|
| No log | 75.0 | 300 | 1.2325 | |
|
| No log | 76.0 | 304 | 1.2169 | |
|
| No log | 77.0 | 308 | 1.2152 | |
|
| No log | 78.0 | 312 | 1.2238 | |
|
| No log | 79.0 | 316 | 1.2258 | |
|
| No log | 80.0 | 320 | 1.2208 | |
|
| No log | 81.0 | 324 | 1.2250 | |
|
| No log | 82.0 | 328 | 1.2251 | |
|
| No log | 83.0 | 332 | 1.2254 | |
|
| No log | 84.0 | 336 | 1.2104 | |
|
| No log | 85.0 | 340 | 1.2003 | |
|
| No log | 86.0 | 344 | 1.2023 | |
|
| No log | 87.0 | 348 | 1.2176 | |
|
| No log | 88.0 | 352 | 1.2245 | |
|
| No log | 89.0 | 356 | 1.2248 | |
|
| No log | 90.0 | 360 | 1.2203 | |
|
| No log | 91.0 | 364 | 1.2138 | |
|
| No log | 92.0 | 368 | 1.2116 | |
|
| No log | 93.0 | 372 | 1.2097 | |
|
| No log | 94.0 | 376 | 1.2159 | |
|
| No log | 95.0 | 380 | 1.2224 | |
|
| No log | 96.0 | 384 | 1.2220 | |
|
| No log | 97.0 | 388 | 1.2182 | |
|
| No log | 98.0 | 392 | 1.2128 | |
|
| No log | 99.0 | 396 | 1.2107 | |
|
| No log | 100.0 | 400 | 1.2100 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.2 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.14.7 |
|
- Tokenizers 0.15.0 |
|
|