Model save
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README.md
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This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the imagefolder 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: 0.9857
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 0.8421 | 4 | 0.
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| No log | 1.8947 | 9 | 0.
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### Framework versions
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This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0225
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- Accuracy: 0.9857
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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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| No log | 0.8421 | 4 | 0.5305 | 0.8429 |
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| No log | 1.8947 | 9 | 0.1707 | 0.9286 |
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| 0.6268 | 2.9474 | 14 | 0.3507 | 0.8429 |
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| 0.6268 | 4.0 | 19 | 0.4707 | 0.8 |
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| 0.2881 | 4.8421 | 23 | 0.1337 | 0.9286 |
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| 0.2881 | 5.8947 | 28 | 0.1293 | 0.9286 |
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| 0.2349 | 6.9474 | 33 | 0.0565 | 0.9714 |
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| 0.2349 | 8.0 | 38 | 0.0676 | 0.9571 |
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| 0.0907 | 8.8421 | 42 | 0.3071 | 0.9 |
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| 0.0907 | 9.8947 | 47 | 0.1462 | 0.9714 |
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| 0.1203 | 10.9474 | 52 | 0.0761 | 0.9714 |
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| 0.1203 | 12.0 | 57 | 0.0808 | 0.9571 |
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| 0.0715 | 12.8421 | 61 | 0.0204 | 0.9857 |
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| 0.0715 | 13.8947 | 66 | 0.0210 | 0.9857 |
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| 0.031 | 14.9474 | 71 | 0.0274 | 0.9714 |
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| 0.031 | 16.0 | 76 | 0.0448 | 0.9857 |
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| 0.0655 | 16.8421 | 80 | 0.0225 | 0.9857 |
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### Framework versions
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model.safetensors
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