End of training
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README.md
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This model is a fine-tuned version of [InstaDeepAI/nucleotide-transformer-2.5b-multi-species](https://huggingface.co/InstaDeepAI/nucleotide-transformer-2.5b-multi-species) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- F1 Score: 0.
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- Precision: 0.
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- Recall: 0.
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- Accuracy: 0.
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- Auc: 0.
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- Prc: 0.
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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.
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| 0.0 | 16.6667 | 1000 | 2.
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### Framework versions
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This model is a fine-tuned version of [InstaDeepAI/nucleotide-transformer-2.5b-multi-species](https://huggingface.co/InstaDeepAI/nucleotide-transformer-2.5b-multi-species) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0848
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- F1 Score: 0.8169
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- Precision: 0.7838
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- Recall: 0.8529
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- Accuracy: 0.7797
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- Auc: 0.83
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- Prc: 0.8881
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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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| 0.1887 | 8.3333 | 500 | 2.0378 | 0.8169 | 0.7838 | 0.8529 | 0.7797 | 0.8294 | 0.8880 |
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| 0.0 | 16.6667 | 1000 | 2.0848 | 0.8169 | 0.7838 | 0.8529 | 0.7797 | 0.83 | 0.8881 |
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### Framework versions
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model-00001-of-00003.safetensors
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