| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: DNA_bert_3-finetuned |
| | 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. --> |
| |
|
| | # DNA_bert_3-finetuned |
| |
|
| | This model is a fine-tuned version of [armheb/DNA_bert_3](https://huggingface.co/armheb/DNA_bert_3) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5788 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 3e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - 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 |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.8244 | 1.0 | 62 | 0.6044 | |
| | | 0.5987 | 2.0 | 124 | 0.5933 | |
| | | 0.5915 | 3.0 | 186 | 0.5856 | |
| | | 0.585 | 4.0 | 248 | 0.5844 | |
| | | 0.5817 | 5.0 | 310 | 0.5818 | |
| | | 0.5791 | 6.0 | 372 | 0.5809 | |
| | | 0.5801 | 7.0 | 434 | 0.5807 | |
| | | 0.5768 | 8.0 | 496 | 0.5796 | |
| | | 0.5741 | 9.0 | 558 | 0.5790 | |
| | | 0.574 | 10.0 | 620 | 0.5788 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.21.1 |
| | - Pytorch 1.12.0+cu113 |
| | - Datasets 2.4.0 |
| | - Tokenizers 0.12.1 |
| |
|
