| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: BERT_spring-6_tokenized |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # BERT_spring-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. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0369 |
|
|
| ## 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: |
| - learning_rate: 2e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.0707 | 1.0 | 187 | 0.0406 | |
| | 0.0399 | 2.0 | 374 | 0.0389 | |
| | 0.0385 | 3.0 | 561 | 0.0362 | |
| | 0.0385 | 4.0 | 748 | 0.0377 | |
| | 0.0374 | 5.0 | 935 | 0.0358 | |
| | 0.0375 | 6.0 | 1122 | 0.0357 | |
| | 0.0375 | 7.0 | 1309 | 0.0377 | |
| | 0.0368 | 8.0 | 1496 | 0.0382 | |
| | 0.0372 | 9.0 | 1683 | 0.0363 | |
| | 0.0355 | 10.0 | 1870 | 0.0335 | |
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| ### Framework versions |
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|
| - Transformers 4.23.1 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.6.1 |
| - Tokenizers 0.13.1 |
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|
