End of training
Browse files
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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) 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
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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.
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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: 1.0
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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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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- Accuracy: 1.0
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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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| 0.0476 | 1.0 | 697 | 0.0000 | 1.0 |
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### Framework versions
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all_results.json
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{
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"epoch": 1.0,
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"eval_accuracy": 0
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"epoch": 1.0,
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"eval_accuracy": 1.0,
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"eval_loss": 4.442937324711238e-07,
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"eval_runtime": 88.5912,
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"eval_samples_per_second": 111.975,
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"eval_steps_per_second": 3.499
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_accuracy": 0
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"epoch": 1.0,
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"eval_accuracy": 1.0,
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"eval_loss": 4.442937324711238e-07,
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"eval_runtime": 88.5912,
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"eval_samples_per_second": 111.975,
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"eval_steps_per_second": 3.499
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}
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runs/Jan15_09-34-29_5f8ebb307233/events.out.tfevents.1705313000.5f8ebb307233.676.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:be3017daf323b0e9b9466f662667aabec6597722d0cb7bc18deabb79ccc8eaf9
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size 411
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