dnabert2_ft_BioS74_1kbpHG19_DHSs_H3K27AC_one_shot
This model is a fine-tuned version of vivym/DNABERT-2-117M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9243
- F1 Score: 0.7778
- Precision: 0.875
- Recall: 0.7
- Accuracy: 0.7895
- Auc: 0.8806
- Prc: 0.8455
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Auc | Prc |
|---|---|---|---|---|---|---|---|---|---|
| 0.4504 | 13.1579 | 500 | 0.9243 | 0.7778 | 0.875 | 0.7 | 0.7895 | 0.8806 | 0.8455 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.18.0
- Tokenizers 0.20.0
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Model tree for tanoManzo/dnabert2_ft_BioS74_1kbpHG19_DHSs_H3K27AC_one_shot
Base model
vivym/DNABERT-2-117M