End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.81
+      value: 0.82
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [OthmaneJ/distil-wav2vec2](https://huggingface.co/OthmaneJ/distil-wav2vec2) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7992
-- Accuracy: 0.81
+- Loss: 0.7427
+- Accuracy: 0.82
 
 ## Model description
 
@@ -53,25 +53,30 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 5e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 5
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4747        | 1.0   | 113  | 0.8103          | 0.77     |
-| 0.3728        | 2.0   | 226  | 0.8200          | 0.78     |
-| 0.3871        | 3.0   | 339  | 0.8358          | 0.79     |
-| 0.2235        | 4.0   | 452  | 0.9072          | 0.76     |
-| 0.1195        | 5.0   | 565  | 0.7992          | 0.81     |
+| 0.8074        | 1.0   | 113  | 1.1764          | 0.63     |
+| 0.8226        | 2.0   | 226  | 0.8222          | 0.73     |
+| 0.8055        | 3.0   | 339  | 0.9653          | 0.74     |
+| 0.5099        | 4.0   | 452  | 1.3430          | 0.59     |
+| 0.6568        | 5.0   | 565  | 0.8467          | 0.76     |
+| 0.5449        | 6.0   | 678  | 0.9551          | 0.76     |
+| 0.3872        | 7.0   | 791  | 0.8185          | 0.81     |
+| 0.3452        | 8.0   | 904  | 0.8198          | 0.82     |
+| 0.1398        | 9.0   | 1017 | 0.7110          | 0.85     |
+| 0.1282        | 10.0  | 1130 | 0.7427          | 0.82     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:283dd26b5d76084e0389c44daa4b5c008e7cdc7b82970292cb2502409f7a413e
+oid sha256:84643b1a7534fcf5adc142323b2ed19c5ae90a2c5622b6946fa211eefd2f9a63
 size 208189904