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: 2.4043
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- F1 Score: 0.6984
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- Precision: 0.7333
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- Recall: 0.6667
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- Accuracy: 0.6780
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- Auc: 0.8112
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- Prc: 0.8221
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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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| 0.171 | 8.3333 | 500 | 2.2531 | 0.6984 | 0.7333 | 0.6667 | 0.6780 | 0.8112 | 0.8211 |
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| 0.0 | 16.6667 | 1000 | 2.4043 | 0.6984 | 0.7333 | 0.6667 | 0.6780 | 0.8112 | 0.8221 |
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### Framework versions
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model-00001-of-00003.safetensors
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