Model save
Browse files- README.md +12 -12
- all_results.json +11 -11
- eval_results.json +6 -6
- model.safetensors +1 -1
- runs/Dec15_03-46-10_d2a76fcee09b/events.out.tfevents.1702612927.d2a76fcee09b.36815.1 +3 -0
- train_results.json +6 -6
- trainer_state.json +437 -122
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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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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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: 0.9018518518518519
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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: 0.4588
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- Accuracy: 0.9019
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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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| 0.1739 | 1.11 | 100 | 0.5771 | 0.8407 |
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| 0.0677 | 2.22 | 200 | 0.5907 | 0.8519 |
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| 0.0699 | 3.33 | 300 | 0.4160 | 0.8870 |
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| 0.0598 | 4.44 | 400 | 0.7336 | 0.8380 |
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| 0.0108 | 5.56 | 500 | 0.5133 | 0.8898 |
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| 0.0082 | 6.67 | 600 | 0.4786 | 0.8981 |
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| 0.0031 | 7.78 | 700 | 0.4624 | 0.9009 |
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| 0.0046 | 8.89 | 800 | 0.4594 | 0.9 |
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| 0.0052 | 10.0 | 900 | 0.4588 | 0.9019 |
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### Framework versions
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all_results.json
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