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DNABert_K6_G_quad_3
This model is a fine-tuned version of armheb/DNA_bert_6 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0722
- Accuracy: 0.9761
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0912 | 1.0 | 9375 | 0.0883 | 0.9707 |
| 0.0668 | 2.0 | 18750 | 0.0723 | 0.9757 |
| 0.0598 | 3.0 | 28125 | 0.0722 | 0.9761 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
