nucleotide-transformer-v2-250m-multi-species_ft_BioS11_1kbpHG19_DHSs_H3K27AC
This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-v2-250m-multi-species on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3791
- F1 Score: 0.8591
- Precision: 0.8704
- Recall: 0.8482
- Accuracy: 0.8553
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 | F1 Score | Precision | Recall | Accuracy |
---|---|---|---|---|---|---|---|
0.3878 | 1.1038 | 500 | 0.3360 | 0.8524 | 0.8556 | 0.8493 | 0.8470 |
0.2552 | 2.2075 | 1000 | 0.3791 | 0.8591 | 0.8704 | 0.8482 | 0.8553 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.0
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