update model card README.md

README.md

@@ -3,30 +3,12 @@ license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
-datasets:
-- audiofolder
 metrics:
 - accuracy
 - f1
 model-index:
 - name: wav2vec2-base-finetuned-ks
-  results:
-  - task:
-      name: Audio Classification
-      type: audio-classification
-    dataset:
-      name: audiofolder
-      type: audiofolder
-      config: Data_Train
-      split: train
-      args: Data_Train
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.8127696289905091
-    - name: F1
-      type: f1
-      value: 0.7948883642136002
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-base-finetuned-ks
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9323
-- Accuracy: 0.8128
-- F1: 0.7949
+- Loss: 0.9236
+- Accuracy: 0.8129
+- F1: 0.7991
 
 ## Model description
 
@@ -72,11 +54,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.844         | 1.0   | 1449 | 1.7968          | 0.5065   | 0.3818 |
-| 0.8796        | 2.0   | 2898 | 1.1875          | 0.6799   | 0.6273 |
-| 0.7076        | 3.0   | 4347 | 1.0995          | 0.7584   | 0.7287 |
-| 0.4669        | 4.0   | 5796 | 0.9960          | 0.7886   | 0.7675 |
-| 0.2156        | 5.0   | 7245 | 0.9323          | 0.8128   | 0.7949 |
+| 1.6415        | 1.0   | 1467 | 1.8215          | 0.4724   | 0.3482 |
+| 1.4247        | 2.0   | 2934 | 1.3207          | 0.6457   | 0.5854 |
+| 1.0871        | 3.0   | 4401 | 1.0206          | 0.7469   | 0.7164 |
+| 0.4278        | 4.0   | 5868 | 0.9235          | 0.8006   | 0.7821 |
+| 0.3165        | 5.0   | 7335 | 0.9236          | 0.8129   | 0.7991 |
 
 
 ### Framework versions