Aman commited on
Commit ·
d7daeea
1
Parent(s): c6dd35b
End of training
Browse files- README.md +1 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Dec23_04-47-02_d607ba476bf4/events.out.tfevents.1703306879.d607ba476bf4.9220.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +124 -0
README.md
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@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.
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- Accuracy: 0.5
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## Model description
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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: 1.5829
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- Accuracy: 0.5
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## Model description
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.5,
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"eval_loss": 1.5828945636749268,
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"eval_runtime": 0.1784,
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"eval_samples_per_second": 78.486,
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"eval_steps_per_second": 5.606,
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"total_flos": 3.132204658458624e+16,
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"train_loss": 1.5895559310913085,
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"train_runtime": 49.2412,
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"train_samples_per_second": 25.588,
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"train_steps_per_second": 0.203
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.5,
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"eval_loss": 1.5828945636749268,
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"eval_runtime": 0.1784,
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"eval_samples_per_second": 78.486,
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"eval_steps_per_second": 5.606
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}
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runs/Dec23_04-47-02_d607ba476bf4/events.out.tfevents.1703306879.d607ba476bf4.9220.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:01f843a272f1165bacde2fc77f86884ad8a9bb287d4f6faccc3a2d3fc08a5d80
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size 405
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 3.132204658458624e+16,
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"train_loss": 1.5895559310913085,
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"train_runtime": 49.2412,
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"train_samples_per_second": 25.588,
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"train_steps_per_second": 0.203
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}
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trainer_state.json
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{
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"best_metric": 0.5,
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"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-brain-ich/checkpoint-8",
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"log_history": [
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