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tanoManzo
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hyenadna-medium-160k-seqlen-hf_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot

Text Classification
Transformers
PyTorch
hyenadna
Generated from Trainer
custom_code
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End of training

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  1. README.md +9 -9
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  This model is a fine-tuned version of [LongSafari/hyenadna-medium-160k-seqlen-hf](https://huggingface.co/LongSafari/hyenadna-medium-160k-seqlen-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0490
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- - F1 Score: 0.6557
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- - Precision: 0.7143
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- - Recall: 0.6061
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- - Accuracy: 0.6441
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- - Auc: 0.7395
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- - Prc: 0.8150
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Auc | Prc |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:------:|:------:|
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- | 0.2402 | 8.3333 | 500 | 1.6536 | 0.7097 | 0.7586 | 0.6667 | 0.6949 | 0.7483 | 0.8204 |
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- | 0.0013 | 16.6667 | 1000 | 2.0490 | 0.6557 | 0.7143 | 0.6061 | 0.6441 | 0.7395 | 0.8150 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [LongSafari/hyenadna-medium-160k-seqlen-hf](https://huggingface.co/LongSafari/hyenadna-medium-160k-seqlen-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6703
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+ - F1 Score: 0.7536
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+ - Precision: 0.7647
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+ - Recall: 0.7429
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+ - Accuracy: 0.7119
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+ - Auc: 0.7393
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+ - Prc: 0.7726
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Auc | Prc |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:------:|:------:|
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+ | 0.2673 | 8.3333 | 500 | 1.4289 | 0.7463 | 0.7812 | 0.7143 | 0.7119 | 0.7565 | 0.7719 |
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+ | 0.0034 | 16.6667 | 1000 | 1.6703 | 0.7536 | 0.7647 | 0.7429 | 0.7119 | 0.7393 | 0.7726 |
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  ### Framework versions
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