Commit
•
1f856a9
1
Parent(s):
88479c6
Model save
Browse files- README.md +5 -5
- all_results.json +16 -0
- eval_results.json +11 -0
- train_results.json +8 -0
- trainer_state.json +1676 -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: 0.4609
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- Accuracy: 0.8240
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- Precision: 0.7895
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- Recall: 0.7821
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- F1: 0.7852
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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": 0.8239891267414203,
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"eval_f1": 0.7852027158639473,
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"eval_loss": 0.4609430432319641,
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"eval_precision": 0.7894503286617733,
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"eval_recall": 0.7820860597039324,
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"eval_runtime": 74.5465,
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"eval_samples_per_second": 118.436,
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"eval_steps_per_second": 7.405,
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"total_flos": 1.087396245164114e+19,
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"train_loss": 0.7537981033325195,
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"train_runtime": 2484.6922,
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"train_samples_per_second": 56.104,
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"train_steps_per_second": 0.877
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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": 0.8239891267414203,
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"eval_f1": 0.7852027158639473,
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"eval_loss": 0.4609430432319641,
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"eval_precision": 0.7894503286617733,
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"eval_recall": 0.7820860597039324,
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"eval_runtime": 74.5465,
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"eval_samples_per_second": 118.436,
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"eval_steps_per_second": 7.405
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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": 1.087396245164114e+19,
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"train_loss": 0.7537981033325195,
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"train_runtime": 2484.6922,
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"train_samples_per_second": 56.104,
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"train_steps_per_second": 0.877
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}
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trainer_state.json
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