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--- |
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base_model: imvladikon/alephbertgimmel-base-512 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mlm-heb-medical |
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results: [] |
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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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# mlm-heb-medical |
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This model is a fine-tuned version of [imvladikon/alephbertgimmel-base-512](https://huggingface.co/imvladikon/alephbertgimmel-base-512) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7673 |
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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: 8 |
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- eval_batch_size: 8 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.4809 | 1.0 | 5304 | 1.3390 | |
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| 1.2434 | 2.0 | 10608 | 1.1131 | |
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| 1.105 | 3.0 | 15912 | 0.9920 | |
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| 1.0178 | 4.0 | 21216 | 0.9150 | |
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| 0.961 | 5.0 | 26520 | 0.8706 | |
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| 0.9326 | 6.0 | 31824 | 0.8399 | |
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| 0.9119 | 7.0 | 37128 | 0.8179 | |
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| 0.8716 | 8.0 | 42432 | 0.7860 | |
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| 0.8644 | 9.0 | 47736 | 0.7903 | |
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| 0.8666 | 10.0 | 53040 | 0.7676 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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