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base_model: avichr/heBERT |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: heBERT-finetuned-samaritan |
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results: [] |
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widget: |
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- text: "אלין שמהת בני ישראל דעלו למצרים עם [MASK] גבר וביתה עלו" |
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- text: "בראשית ברא [MASK] את השמים ואת הארץ" |
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- text: "ומשה הוה רעה ית עאן [MASK] חתנה כהן מדין ודעק ית עאנה אחרי מדברה ואתא לטור האלהים לחורב" |
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- text: "וחזה לה [MASK] יהוה בלהבת אש מבגו סניה וחזה ואה סניה יקיד באש וסניה ליתו מתאכל" |
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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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# heBERT-finetuned-samaritan |
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This model is a fine-tuned version of [avichr/heBERT](https://huggingface.co/avichr/heBERT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.0412 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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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- num_epochs: 10 |
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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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| 4.875 | 1.0 | 118 | 4.5078 | |
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| 4.5415 | 2.0 | 236 | 4.4287 | |
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| 4.3991 | 3.0 | 354 | 4.2731 | |
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| 4.3072 | 4.0 | 472 | 4.2191 | |
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| 4.2421 | 5.0 | 590 | 4.1209 | |
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| 4.2013 | 6.0 | 708 | 4.0951 | |
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| 4.1624 | 7.0 | 826 | 4.0689 | |
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| 4.1062 | 8.0 | 944 | 4.0910 | |
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| 4.1 | 9.0 | 1062 | 4.0374 | |
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| 4.0738 | 10.0 | 1180 | 4.0750 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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