Commit
•
af30143
1
Parent(s):
02755c3
End of training
Browse files- README.md +5 -5
- all_results.json +16 -0
- eval_results.json +11 -0
- train_results.json +8 -0
- trainer_state.json +913 -0
README.md
CHANGED
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@@ -23,11 +23,11 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the medmnist-v2 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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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the medmnist-v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6240
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- Accuracy: 0.7561
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- Precision: 0.5742
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- Recall: 0.5353
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- F1: 0.5271
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,16 @@
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{
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"epoch": 9.95,
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"eval_accuracy": 0.7561097256857855,
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"eval_f1": 0.5270746588062634,
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"eval_loss": 0.6239711046218872,
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"eval_precision": 0.5741529640634522,
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"eval_recall": 0.5353373036113024,
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"eval_runtime": 11.7344,
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"eval_samples_per_second": 170.865,
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"eval_steps_per_second": 10.738,
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"total_flos": 5.440571948014866e+18,
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"train_loss": 0.7656277652180523,
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"train_runtime": 925.5702,
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"train_samples_per_second": 75.705,
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"train_steps_per_second": 1.178
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}
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eval_results.json
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@@ -0,0 +1,11 @@
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{
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"epoch": 9.95,
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"eval_accuracy": 0.7561097256857855,
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"eval_f1": 0.5270746588062634,
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"eval_loss": 0.6239711046218872,
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"eval_precision": 0.5741529640634522,
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"eval_recall": 0.5353373036113024,
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"eval_runtime": 11.7344,
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"eval_samples_per_second": 170.865,
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"eval_steps_per_second": 10.738
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}
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train_results.json
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{
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"epoch": 9.95,
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"total_flos": 5.440571948014866e+18,
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"train_loss": 0.7656277652180523,
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"train_runtime": 925.5702,
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"train_samples_per_second": 75.705,
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"train_steps_per_second": 1.178
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}
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trainer_state.json
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