Augusto777
commited on
Commit
•
62f11bd
1
Parent(s):
667b8cf
End of training
Browse files- README.md +3 -3
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/May23_18-36-22_DESKTOP-SKBE9FB/events.out.tfevents.1716512679.DESKTOP-SKBE9FB.14084.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +846 -0
README.md
CHANGED
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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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@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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-
- Loss:
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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: 0.8333333333333334
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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](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.5667
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- Accuracy: 0.8333
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## Model description
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all_results.json
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{
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"epoch": 39.48,
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"eval_accuracy": 0.8333333333333334,
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+
"eval_loss": 0.5666719079017639,
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+
"eval_runtime": 1.1751,
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"eval_samples_per_second": 51.059,
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"eval_steps_per_second": 1.702,
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"train_loss": 0.18620210740911333,
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+
"train_runtime": 1570.0451,
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"train_samples_per_second": 62.419,
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"train_steps_per_second": 0.484
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}
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eval_results.json
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{
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"epoch": 39.48,
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"eval_accuracy": 0.8333333333333334,
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"eval_loss": 0.5666719079017639,
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+
"eval_runtime": 1.1751,
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"eval_samples_per_second": 51.059,
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"eval_steps_per_second": 1.702
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}
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runs/May23_18-36-22_DESKTOP-SKBE9FB/events.out.tfevents.1716512679.DESKTOP-SKBE9FB.14084.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:6482edb473fd87748c86e614a871d662c755f8bbc6ba3c74da2d21c392784e5f
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size 411
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train_results.json
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{
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"epoch": 39.48,
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"train_loss": 0.18620210740911333,
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"train_runtime": 1570.0451,
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"train_samples_per_second": 62.419,
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"train_steps_per_second": 0.484
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}
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trainer_state.json
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{
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