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Model save

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  1. README.md +8 -8
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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3130
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- - Logloss: 1.3130
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- - Accuracy: {'accuracy': 0.43}
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  ## Model description
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@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Logloss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------------------:|
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- | No log | 0.96 | 6 | 1.4663 | 1.4663 | {'accuracy': 0.42} |
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- | 1.4937 | 1.92 | 12 | 1.3507 | 1.3507 | {'accuracy': 0.445} |
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- | 1.4937 | 2.88 | 18 | 1.3130 | 1.3130 | {'accuracy': 0.43} |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1361
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+ - Logloss: 1.1361
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+ - Accuracy: {'accuracy': 0.52}
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Logloss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------------------:|
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+ | 1.5112 | 0.96 | 12 | 1.3027 | 1.3027 | {'accuracy': 0.4525} |
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+ | 1.278 | 2.0 | 25 | 1.1611 | 1.1611 | {'accuracy': 0.51} |
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+ | 1.18 | 2.88 | 36 | 1.1361 | 1.1361 | {'accuracy': 0.52} |
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  ### Framework versions