update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      value: 0.87
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4814
-- Accuracy: 0.86
+- Loss: 0.4853
+- Accuracy: 0.87
 
 ## Model description
 
@@ -52,29 +52,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.8427        | 1.0   | 57   | 0.7791          | 0.76     |
-| 0.5636        | 2.0   | 114  | 0.7019          | 0.81     |
-| 0.499         | 3.0   | 171  | 0.4900          | 0.83     |
-| 0.2273        | 4.0   | 228  | 0.5891          | 0.8      |
-| 0.1083        | 5.0   | 285  | 0.4178          | 0.86     |
-| 0.0893        | 6.0   | 342  | 0.4645          | 0.86     |
-| 0.0075        | 7.0   | 399  | 0.4542          | 0.87     |
-| 0.0704        | 8.0   | 456  | 0.5085          | 0.87     |
-| 0.0034        | 9.0   | 513  | 0.4899          | 0.88     |
-| 0.0031        | 10.0  | 570  | 0.4814          | 0.86     |
+| 0.0028        | 0.98  | 28   | 0.4659          | 0.88     |
+| 0.0197        | 2.0   | 57   | 0.4713          | 0.9      |
+| 0.019         | 2.98  | 85   | 0.5138          | 0.9      |
+| 0.0133        | 4.0   | 114  | 0.4830          | 0.88     |
+| 0.0117        | 4.91  | 140  | 0.4853          | 0.87     |
 
 
 ### Framework versions