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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: 1.8747
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- - F1 Score: 0.7742
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- - Precision: 0.7059
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- - Recall: 0.8571
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- - Accuracy: 0.7627
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- - Auc: 0.8053
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- - Prc: 0.7690
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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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- | 0.1686 | 8.3333 | 500 | 1.7553 | 0.7742 | 0.7059 | 0.8571 | 0.7627 | 0.8007 | 0.7634 |
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- | 0.0 | 16.6667 | 1000 | 1.8747 | 0.7742 | 0.7059 | 0.8571 | 0.7627 | 0.8053 | 0.7690 |
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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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