End of training
Browse files- README.md +5 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Jul06_17-44-23_d9568e0fc9ba/events.out.tfevents.1720288227.d9568e0fc9ba.2235.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +542 -0
README.md
CHANGED
@@ -2,6 +2,8 @@
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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@@ -15,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-base-beans
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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
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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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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- image-classification
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- vision
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-beans
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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 beans dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0650
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- Accuracy: 0.9925
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## Model description
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9924812030075187,
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"eval_loss": 0.06496671587228775,
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"eval_steps_per_second": 6.912,
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"train_steps_per_second": 2.033
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9924812030075187,
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"eval_loss": 0.06496671587228775,
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"eval_runtime": 2.4595,
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"eval_samples_per_second": 54.077,
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"eval_steps_per_second": 6.912
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}
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runs/Jul06_17-44-23_d9568e0fc9ba/events.out.tfevents.1720288227.d9568e0fc9ba.2235.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:06f476945d678bc717cdfa6963b55b75163fd615b2216dd2b4a7ef85c1797587
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size 411
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train_results.json
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trainer_state.json
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