ancient_semitic_bert
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9118
- Perplexity: 6.77 (40 Epochs)
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 40.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.778 | 1.0 | 55319 | 6.4618 |
| 6.4271 | 2.0 | 110638 | 6.3701 |
| 6.3616 | 3.0 | 165957 | 6.3217 |
| 6.3257 | 4.0 | 221276 | 6.2966 |
| 6.3001 | 5.0 | 276595 | 6.2759 |
| 6.2834 | 6.0 | 331914 | 6.2610 |
| 6.2699 | 7.0 | 387233 | 6.2465 |
| 6.2565 | 8.0 | 442552 | 6.1939 |
| 6.2221 | 9.0 | 497871 | 6.1154 |
| 6.0721 | 10.0 | 553190 | 5.9524 |
| 5.9212 | 11.0 | 608509 | 5.7947 |
| 5.8113 | 12.0 | 663828 | 5.7161 |
| 5.7509 | 13.0 | 719147 | 5.6614 |
| 5.7053 | 14.0 | 774466 | 5.6158 |
| 5.6665 | 15.0 | 829785 | 5.5774 |
| 5.634 | 16.0 | 885104 | 5.5448 |
| 5.6055 | 17.0 | 940423 | 2.7563 |
| 3.3308 | 18.0 | 995742 | 2.5443 |
| 2.6179 | 19.0 | 1051061 | 2.4196 |
| 2.5324 | 20.0 | 1106380 | 2.3393 |
| 2.4791 | 21.0 | 1161699 | 2.2755 |
| 2.4105 | 22.0 | 1217018 | 2.2241 |
| 2.3582 | 23.0 | 1272337 | 2.1772 |
| 2.3281 | 24.0 | 1327656 | 2.1416 |
| 2.2987 | 25.0 | 1382975 | 2.1137 |
| 2.7859 | 26.0 | 1438294 | 2.0950 |
| 2.2728 | 27.0 | 1493613 | 2.0685 |
| 2.2308 | 28.0 | 1548932 | 2.0499 |
| 2.1739 | 29.0 | 1604251 | 2.0082 |
| 2.1569 | 30.0 | 1659570 | 1.9939 |
| 2.1425 | 31.0 | 1714889 | 1.9802 |
| 2.1318 | 32.0 | 1770208 | 1.9669 |
| 2.1207 | 33.0 | 1825527 | 1.9583 |
| 2.1111 | 34.0 | 1880846 | 1.9477 |
| 2.102 | 35.0 | 1936165 | 1.9409 |
| 2.0943 | 36.0 | 1991484 | 1.9313 |
| 2.0871 | 37.0 | 2046803 | 1.9236 |
| 2.0736 | 38.0 | 2102122 | 1.9191 |
| 2.0693 | 39.0 | 2157441 | 1.9147 |
| 2.0653 | 40.0 | 2212760 | 1.9118 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.3.0a0+ebedce2
- Datasets 2.17.1
- Tokenizers 0.15.2