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--- |
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base_model: dmis-lab/biobert-v1.1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ontochem_biobert_1e-5_10epochs_v4 |
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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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# ontochem_biobert_1e-5_10epochs_v4 |
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This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0405 |
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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: 1e-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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- lr_scheduler_warmup_steps: 500 |
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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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| No log | 1.0 | 48 | 0.9461 | |
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| No log | 2.0 | 96 | 0.5419 | |
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| No log | 3.0 | 144 | 0.1535 | |
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| No log | 4.0 | 192 | 0.0714 | |
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| No log | 5.0 | 240 | 0.0560 | |
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| No log | 6.0 | 288 | 0.0492 | |
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| No log | 7.0 | 336 | 0.0460 | |
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| No log | 8.0 | 384 | 0.0433 | |
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| No log | 9.0 | 432 | 0.0440 | |
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| No log | 10.0 | 480 | 0.0405 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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