Commit
•
9d78380
1
Parent(s):
5339525
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 +1459 -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: 0.0847
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- Accuracy: 0.9737
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- Precision: 0.9726
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- Recall: 0.9724
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- F1: 0.9724
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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": 10.0,
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"eval_accuracy": 0.9736919029523531,
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"eval_f1": 0.9724362036912011,
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"eval_loss": 0.08470147103071213,
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"eval_precision": 0.9726422315270469,
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"eval_recall": 0.9724099912288373,
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"eval_runtime": 20.7035,
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"eval_samples_per_second": 165.237,
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"eval_steps_per_second": 10.336,
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"total_flos": 9.328175742872125e+18,
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"train_loss": 0.3662890907277398,
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"train_runtime": 1600.7009,
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"train_samples_per_second": 74.711,
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"train_steps_per_second": 1.168
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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": 10.0,
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"eval_accuracy": 0.9736919029523531,
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"eval_f1": 0.9724362036912011,
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"eval_loss": 0.08470147103071213,
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"eval_precision": 0.9726422315270469,
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"eval_recall": 0.9724099912288373,
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"eval_runtime": 20.7035,
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"eval_samples_per_second": 165.237,
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"eval_steps_per_second": 10.336
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}
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train_results.json
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@@ -0,0 +1,8 @@
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{
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"epoch": 10.0,
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"total_flos": 9.328175742872125e+18,
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"train_loss": 0.3662890907277398,
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"train_runtime": 1600.7009,
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"train_samples_per_second": 74.711,
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"train_steps_per_second": 1.168
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}
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trainer_state.json
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