rukundob451
commited on
Commit
•
970ab73
1
Parent(s):
8380e13
End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Sep17_05-51-29_af0e2af80721/events.out.tfevents.1726557218.af0e2af80721.798.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +576 -0
README.md
CHANGED
@@ -23,7 +23,7 @@ model-index:
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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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@@ -33,8 +33,8 @@ 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: 0.
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-
- Accuracy: 0.
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## Model description
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.9044117647058824
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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: 0.2027
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- Accuracy: 0.9044
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## Model description
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all_results.json
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{
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"epoch": 14.901960784313726,
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"eval_accuracy": 0.9044117647058824,
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"eval_loss": 0.20269162952899933,
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"eval_runtime": 30.8962,
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"eval_samples_per_second": 4.402,
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"eval_steps_per_second": 0.55,
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"total_flos": 4.5342391246258176e+17,
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}
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eval_results.json
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"epoch": 14.901960784313726,
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"eval_accuracy": 0.9044117647058824,
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runs/Sep17_05-51-29_af0e2af80721/events.out.tfevents.1726557218.af0e2af80721.798.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:669aa1d3a52984eed44075e8520ab68be118780ab349073342a91feb38d5f024
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size 411
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train_results.json
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trainer_state.json
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