michaelsinanta
commited on
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End of training
Browse files- README.md +6 -6
- pytorch_model.bin +1 -1
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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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 | 1.0 | 40 | 1.
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| No log | 2.0 | 80 | 1.
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| No log | 3.0 | 120 | 1.
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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: 0.325
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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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7674
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- Accuracy: 0.325
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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 | 1.0 | 40 | 1.9714 | 0.2938 |
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| No log | 2.0 | 80 | 1.7702 | 0.3375 |
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| No log | 3.0 | 120 | 1.7064 | 0.3125 |
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### Framework versions
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pytorch_model.bin
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