Instructions to use selmamalak/derma-beit-base-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use selmamalak/derma-beit-base-finetuned with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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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| 23 |
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| 24 |
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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| 25 |
It achieves the following results on the evaluation set:
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| 26 |
-
- Loss: 0.
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| 27 |
-
- Accuracy: 0.
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| 28 |
-
- Precision: 0.
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| 29 |
-
- Recall: 0.
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| 30 |
-
- F1: 0.
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| 31 |
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| 32 |
## Model description
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| 33 |
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| 23 |
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| 24 |
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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| 25 |
It achieves the following results on the evaluation set:
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| 26 |
+
- Loss: 0.6240
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| 27 |
+
- Accuracy: 0.7561
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| 28 |
+
- Precision: 0.5742
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| 29 |
+
- Recall: 0.5353
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| 30 |
+
- F1: 0.5271
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| 31 |
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| 32 |
## Model description
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| 33 |
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all_results.json
ADDED
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@@ -0,0 +1,16 @@
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{
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| 2 |
+
"epoch": 9.95,
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| 3 |
+
"eval_accuracy": 0.7561097256857855,
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| 4 |
+
"eval_f1": 0.5270746588062634,
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| 5 |
+
"eval_loss": 0.6239711046218872,
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| 6 |
+
"eval_precision": 0.5741529640634522,
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| 7 |
+
"eval_recall": 0.5353373036113024,
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| 8 |
+
"eval_runtime": 11.7344,
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| 9 |
+
"eval_samples_per_second": 170.865,
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| 10 |
+
"eval_steps_per_second": 10.738,
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| 11 |
+
"total_flos": 5.440571948014866e+18,
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| 12 |
+
"train_loss": 0.7656277652180523,
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| 13 |
+
"train_runtime": 925.5702,
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| 14 |
+
"train_samples_per_second": 75.705,
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| 15 |
+
"train_steps_per_second": 1.178
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| 16 |
+
}
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eval_results.json
ADDED
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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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| 4 |
+
"eval_f1": 0.5270746588062634,
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| 5 |
+
"eval_loss": 0.6239711046218872,
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| 6 |
+
"eval_precision": 0.5741529640634522,
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| 7 |
+
"eval_recall": 0.5353373036113024,
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| 8 |
+
"eval_runtime": 11.7344,
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| 9 |
+
"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
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 9.95,
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+
"total_flos": 5.440571948014866e+18,
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| 4 |
+
"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
ADDED
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@@ -0,0 +1,913 @@
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