nucleotide-transformer-v2-50m-multi-species_ft_BioS2_1kbpHG19_DHSs_H3K27AC_on_shot_one_shot
This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-v2-50m-multi-species on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7824
- F1 Score: 0.6984
- Precision: 0.7333
- Recall: 0.6667
- Accuracy: 0.6780
- Auc: 0.7931
- Prc: 0.7978
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: 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 |
---|---|---|---|---|---|---|---|---|---|
0.2027 | 8.3333 | 500 | 1.5881 | 0.6984 | 0.7333 | 0.6667 | 0.6780 | 0.7960 | 0.7989 |
0.0013 | 16.6667 | 1000 | 1.7824 | 0.6984 | 0.7333 | 0.6667 | 0.6780 | 0.7931 | 0.7978 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.18.0
- Tokenizers 0.20.0
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