update model card README.md

README.md

@@ -3,26 +3,12 @@ license: bsd-3-clause
 base_model: MIT/ast-finetuned-audioset-10-10-0.4593
 tags:
 - generated_from_trainer
-datasets:
-- audiofolder
 metrics:
+- accuracy
 - f1
 model-index:
 - name: ast-finetuned-audioset-10-10-0.4593-finetuned-AST
-  results:
-  - task:
-      name: Audio Classification
-      type: audio-classification
-    dataset:
-      name: audiofolder
-      type: audiofolder
-      config: Data_Train
-      split: train
-      args: Data_Train
-    metrics:
-    - name: F1
-      type: f1
-      value: 0.9276872550130031
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ast-finetuned-audioset-10-10-0.4593-finetuned-AST
 
-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 the audiofolder dataset.
+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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4230
-- F1: 0.9277
+- Loss: 0.3787
+- Accuracy: 0.9463
+- F1: 0.9426
 
 ## Model description
 
@@ -65,13 +52,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.1148        | 1.0   | 1449 | 0.5953          | 0.8492 |
-| 0.234         | 2.0   | 2898 | 0.5676          | 0.8704 |
-| 0.2579        | 3.0   | 4347 | 0.4810          | 0.9086 |
-| 0.077         | 4.0   | 5796 | 0.4230          | 0.9277 |
-| 0.0001        | 5.0   | 7245 | 0.4369          | 0.9232 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.7914        | 1.0   | 1467 | 0.5058          | 0.8788   | 0.8679 |
+| 0.5962        | 2.0   | 2934 | 0.4318          | 0.9018   | 0.8941 |
+| 0.0143        | 3.0   | 4401 | 0.4418          | 0.9233   | 0.9183 |
+| 0.0002        | 4.0   | 5868 | 0.3996          | 0.9387   | 0.9342 |
+| 0.0001        | 5.0   | 7335 | 0.3787          | 0.9463   | 0.9426 |
 
 
 ### Framework versions