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:
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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 |
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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: 2.9351
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- F1 Score: 0.6071
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- Precision: 0.6296
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- Recall: 0.5862
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- Accuracy: 0.6271
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- Auc: 0.7851
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- Prc: 0.7835
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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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| 0.1943 | 8.3333 | 500 | 2.7409 | 0.6071 | 0.6296 | 0.5862 | 0.6271 | 0.7897 | 0.7898 |
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| 0.0 | 16.6667 | 1000 | 2.9351 | 0.6071 | 0.6296 | 0.5862 | 0.6271 | 0.7851 | 0.7835 |
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### Framework versions
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model-00001-of-00003.safetensors
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