Model save

README.md

@@ -1,39 +1,22 @@
 ---
 library_name: transformers
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
 tags:
 - generated_from_trainer
-datasets:
-- audiofolder
-metrics:
-- accuracy
 model-index:
 - name: ast-finetuned-audioset-10-10-0.4593-heart-sounds
-  results:
-  - task:
-      name: Audio Classification
-      type: audio-classification
-    dataset:
-      name: audiofolder
-      type: audiofolder
-      config: default
-      split: validation
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9679878048780488
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/vldmrl-org/HeartDiseaseDetector/runs/0yj7k0d4)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/vldmrl-org/HeartDiseaseDetector/runs/n9fzp3eh)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/vldmrl-org/HeartDiseaseDetector/runs/n9fzp3eh)
 # ast-finetuned-audioset-10-10-0.4593-heart-sounds
 
-This model was trained from scratch on the audiofolder dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1359
-- Accuracy: 0.9680
+This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on an unknown dataset.
 
 ## Model description
 
@@ -63,20 +46,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 8
 
-### Training results
-
-| Training Loss | Epoch  | Step | Accuracy | Validation Loss |
-|:-------------:|:------:|:----:|:--------:|:---------------:|
-| 0.2137        | 1.0    | 83   | 0.9329   | 0.1661          |
-| 0.1561        | 2.0    | 166  | 0.8841   | 0.2494          |
-| 0.1113        | 3.0    | 249  | 0.9588   | 0.1119          |
-| 0.0478        | 4.0    | 332  | 0.9588   | 0.1134          |
-| 0.025         | 4.9483 | 410  | 0.9649   | 0.1086          |
-| 0.0338        | 6.0    | 493  | 0.1260   | 0.9634          |
-| 0.0179        | 7.0    | 576  | 0.1392   | 0.9680          |
-| 0.012         | 7.9726 | 656  | 0.1359   | 0.9680          |
-
-
 ### Framework versions
 
 - Transformers 4.49.0