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--- |
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base_model: yosefw/bert-mini-hebrew |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-mini-hebrew-512 |
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results: [] |
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language: |
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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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# bert-mini-hebrew-512 |
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This model is a fine-tuned version of [yosefw/bert-mini-hebrew](https://huggingface.co/yosefw/bert-mini-hebrew) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9172 |
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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: 48 |
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- eval_batch_size: 48 |
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- seed: 42 |
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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: 500 |
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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 4.4373 | 0.2500 | 2827 | 3.2271 | |
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| 3.4195 | 0.4999 | 5654 | 3.1138 | |
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| 3.3455 | 0.7499 | 8481 | 3.0875 | |
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| 3.3139 | 0.9998 | 11308 | 3.0617 | |
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| 3.2911 | 1.2498 | 14135 | 3.0290 | |
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| 3.2705 | 1.4997 | 16962 | 3.0172 | |
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| 3.2552 | 1.7497 | 19789 | 3.0081 | |
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| 3.2445 | 1.9996 | 22616 | 2.9997 | |
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| 3.2304 | 2.2496 | 25443 | 2.9834 | |
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| 3.2199 | 2.4996 | 28270 | 2.9713 | |
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| 3.2144 | 2.7495 | 31097 | 2.9705 | |
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| 3.2039 | 2.9995 | 33924 | 2.9559 | |
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| 3.192 | 3.2494 | 36751 | 2.9428 | |
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| 3.1859 | 3.4994 | 39578 | 2.9412 | |
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| 3.1816 | 3.7493 | 42405 | 2.9410 | |
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| 3.1774 | 3.9993 | 45232 | 2.9386 | |
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| 3.1701 | 4.2492 | 48059 | 2.9343 | |
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| 3.1684 | 4.4992 | 50886 | 2.9223 | |
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| 3.1651 | 4.7492 | 53713 | 2.9201 | |
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| 3.1651 | 4.9991 | 56540 | 2.9164 | |
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| 3.156 | 5.2491 | 59367 | 2.9220 | |
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| 3.1541 | 5.4990 | 62194 | 2.9213 | |
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| 3.1548 | 5.7490 | 65021 | 2.9071 | |
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| 3.1561 | 5.9989 | 67848 | 2.9159 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
