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update model card README.md
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README.md
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@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.9611
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- F1: 0.9510
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- Precision: 0.9714
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The following hyperparameters were used during training:
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- learning_rate: 0.00015
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- train_batch_size:
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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### Framework versions
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This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3257
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- Accuracy: 0.9611
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- F1: 0.9510
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- Precision: 0.9714
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The following hyperparameters were used during training:
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- learning_rate: 0.00015
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| No log | 1.0 | 2 | 0.5986 | 0.8167 | 0.8092 | 0.7 | 0.9589 |
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| No log | 2.0 | 4 | 0.3945 | 0.9611 | 0.9510 | 0.9714 | 0.9315 |
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| No log | 3.0 | 6 | 0.3257 | 0.9611 | 0.9510 | 0.9714 | 0.9315 |
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### Framework versions
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