🍻 cheers
Browse files- README.md +7 -6
- all_results.json +14 -14
- eval_results.json +9 -9
- runs/Mar20_11-30-34_457efe287a8c/events.out.tfevents.1710936371.457efe287a8c.174.3 +3 -0
- train_results.json +6 -6
- trainer_state.json +239 -1487
README.md
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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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# vit-lr-cosine-restarts
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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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- Precision: 0.
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- Recall: 0.
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- F1: 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-cosine-restarts
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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: 0.5964
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- Accuracy: 0.7979
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- Precision: 0.7970
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- Recall: 0.7979
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- F1: 0.7793
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## Model description
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all_results.json
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eval_results.json
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runs/Mar20_11-30-34_457efe287a8c/events.out.tfevents.1710936371.457efe287a8c.174.3
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version https://git-lfs.github.com/spec/v1
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size 560
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train_results.json
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| 247 |
}
|
| 248 |
],
|
| 249 |
+
"logging_steps": 500,
|
| 250 |
"max_steps": 32100,
|
| 251 |
"num_input_tokens_seen": 0,
|
| 252 |
"num_train_epochs": 100,
|
| 253 |
+
"save_steps": 500,
|
| 254 |
+
"total_flos": 4.768760767819088e+18,
|
| 255 |
"train_batch_size": 16,
|
| 256 |
"trial_name": null,
|
| 257 |
"trial_params": null
|