🍻 cheers
Browse files- README.md +4 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +899 -0
README.md
CHANGED
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@@ -2,6 +2,7 @@
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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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 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-lr-0.0001
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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
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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
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tags:
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+
- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-lr-0.0001
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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 skin-cancer dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.5187
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- Accuracy: 0.8360
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## Model description
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all_results.json
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{
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"epoch": 3.43,
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"eval_accuracy": 0.8359916782246879,
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"eval_loss": 0.5187094211578369,
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"eval_runtime": 40.5402,
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"eval_samples_per_second": 71.139,
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"eval_steps_per_second": 8.905,
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"total_flos": 1.362060245306622e+18,
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"train_loss": 0.38896639000285754,
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"train_runtime": 855.3091,
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"train_samples_per_second": 599.549,
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"train_steps_per_second": 37.53
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}
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eval_results.json
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{
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"epoch": 3.43,
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"eval_accuracy": 0.8359916782246879,
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"eval_loss": 0.5187094211578369,
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"eval_runtime": 40.5402,
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"eval_samples_per_second": 71.139,
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"eval_steps_per_second": 8.905
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}
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train_results.json
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{
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"epoch": 3.43,
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"total_flos": 1.362060245306622e+18,
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"train_loss": 0.38896639000285754,
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"train_runtime": 855.3091,
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"train_samples_per_second": 599.549,
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"train_steps_per_second": 37.53
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}
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trainer_state.json
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