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