Commit
•
c121ebe
1
Parent(s):
691bcde
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 +673 -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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) 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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the medmnist-v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1773
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- Accuracy: 0.9359
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- Precision: 0.9474
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- Recall: 0.9179
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- F1: 0.9295
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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": 9.898305084745763,
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"eval_accuracy": 0.9358974358974359,
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"eval_f1": 0.9294978984950513,
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"eval_loss": 0.17731864750385284,
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"eval_precision": 0.9474449814649711,
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"eval_recall": 0.917948717948718,
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"eval_runtime": 2.7939,
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"eval_samples_per_second": 223.344,
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"eval_steps_per_second": 13.959,
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"total_flos": 3.6369520534486057e+18,
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"train_loss": 0.20677236253268097,
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"train_runtime": 441.3046,
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"train_samples_per_second": 106.684,
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"train_steps_per_second": 1.654
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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": 9.898305084745763,
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"eval_accuracy": 0.9358974358974359,
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"eval_f1": 0.9294978984950513,
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"eval_loss": 0.17731864750385284,
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"eval_precision": 0.9474449814649711,
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"eval_recall": 0.917948717948718,
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"eval_runtime": 2.7939,
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"eval_samples_per_second": 223.344,
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"eval_steps_per_second": 13.959
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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": 9.898305084745763,
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"total_flos": 3.6369520534486057e+18,
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"train_loss": 0.20677236253268097,
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"train_runtime": 441.3046,
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"train_samples_per_second": 106.684,
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"train_steps_per_second": 1.654
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9637404580152672,
|
| 3 |
+
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-lora-medmnistv2/checkpoint-516",
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| 4 |
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"epoch": 9.898305084745763,
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| 5 |
+
"eval_steps": 500,
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| 6 |
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"global_step": 730,
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| 7 |
+
"is_hyper_param_search": false,
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