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Training in progress, epoch 1

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README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9466666666666667
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1877
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- - Accuracy: 0.9467
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  ## Model description
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@@ -68,16 +68,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 7.4829 | 1.0 | 150 | 1.7511 | 0.7067 |
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- | 2.4023 | 2.0 | 300 | 0.5508 | 0.88 |
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- | 1.3619 | 3.0 | 450 | 0.3333 | 0.9067 |
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- | 0.8977 | 4.0 | 600 | 0.2723 | 0.91 |
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- | 0.6876 | 5.0 | 750 | 0.2152 | 0.93 |
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- | 0.7965 | 6.0 | 900 | 0.1958 | 0.9333 |
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- | 0.6088 | 7.0 | 1050 | 0.2203 | 0.92 |
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- | 0.6752 | 8.0 | 1200 | 0.1977 | 0.94 |
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- | 0.2985 | 9.0 | 1350 | 0.1814 | 0.9533 |
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- | 0.2278 | 10.0 | 1500 | 0.1877 | 0.9467 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9433333333333334
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1882
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+ - Accuracy: 0.9433
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 6.9364 | 1.0 | 150 | 1.5889 | 0.74 |
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+ | 2.3268 | 2.0 | 300 | 0.5301 | 0.8533 |
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+ | 1.2644 | 3.0 | 450 | 0.3337 | 0.9167 |
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+ | 0.91 | 4.0 | 600 | 0.2611 | 0.9067 |
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+ | 0.664 | 5.0 | 750 | 0.2194 | 0.9167 |
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+ | 0.6286 | 6.0 | 900 | 0.2311 | 0.9267 |
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+ | 0.6042 | 7.0 | 1050 | 0.2450 | 0.9233 |
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+ | 0.629 | 8.0 | 1200 | 0.2225 | 0.9333 |
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+ | 0.3318 | 9.0 | 1350 | 0.2032 | 0.9367 |
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+ | 0.2009 | 10.0 | 1500 | 0.1882 | 0.9433 |
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  ### Framework versions
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