tanoManzo commited on
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End of training

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README.md CHANGED
@@ -20,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -58,8 +58,8 @@ The following hyperparameters were used during training:
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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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  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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