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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: BERT_prediction-6_tokenized |
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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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# BERT_prediction-6_tokenized |
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This model is a fine-tuned version of [armheb/DNA_bert_6](https://huggingface.co/armheb/DNA_bert_6) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0326 |
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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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| 0.0646 | 1.0 | 276 | 0.0370 | |
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| 0.0386 | 2.0 | 552 | 0.0348 | |
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| 0.0358 | 3.0 | 828 | 0.0336 | |
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| 0.0363 | 4.0 | 1104 | 0.0333 | |
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| 0.0357 | 5.0 | 1380 | 0.0334 | |
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| 0.0341 | 6.0 | 1656 | 0.0342 | |
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| 0.0342 | 7.0 | 1932 | 0.0341 | |
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| 0.0339 | 8.0 | 2208 | 0.0333 | |
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| 0.0332 | 9.0 | 2484 | 0.0344 | |
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| 0.0345 | 10.0 | 2760 | 0.0323 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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