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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: DNA_bert_3-finetuned |
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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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# DNA_bert_3-finetuned |
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This model is a fine-tuned version of [armheb/DNA_bert_3](https://huggingface.co/armheb/DNA_bert_3) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5788 |
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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: 3e-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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- 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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| 0.8244 | 1.0 | 62 | 0.6044 | |
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| 0.5987 | 2.0 | 124 | 0.5933 | |
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| 0.5915 | 3.0 | 186 | 0.5856 | |
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| 0.585 | 4.0 | 248 | 0.5844 | |
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| 0.5817 | 5.0 | 310 | 0.5818 | |
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| 0.5791 | 6.0 | 372 | 0.5809 | |
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| 0.5801 | 7.0 | 434 | 0.5807 | |
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| 0.5768 | 8.0 | 496 | 0.5796 | |
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| 0.5741 | 9.0 | 558 | 0.5790 | |
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| 0.574 | 10.0 | 620 | 0.5788 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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