End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8
+      value: 0.84
 ---
 
 <!-- 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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7966
-- Accuracy: 0.8
+- Loss: 0.7957
+- Accuracy: 0.84
 
 ## Model description
 
@@ -59,23 +59,25 @@ The following hyperparameters were used during training:
 - 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: 12
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.956         | 1.0   | 113  | 1.8269          | 0.48     |
-| 1.3896        | 2.0   | 226  | 1.5206          | 0.53     |
-| 1.1           | 3.0   | 339  | 1.1325          | 0.66     |
-| 0.7254        | 4.0   | 452  | 1.1456          | 0.62     |
-| 0.6099        | 5.0   | 565  | 0.8337          | 0.73     |
-| 0.5452        | 6.0   | 678  | 0.8621          | 0.72     |
-| 0.5286        | 7.0   | 791  | 0.6800          | 0.82     |
-| 0.2849        | 8.0   | 904  | 0.8335          | 0.77     |
-| 0.2248        | 9.0   | 1017 | 0.7541          | 0.8      |
-| 0.0822        | 10.0  | 1130 | 0.7966          | 0.8      |
+| 1.9948        | 1.0   | 113  | 1.8574          | 0.47     |
+| 1.4469        | 2.0   | 226  | 1.4344          | 0.56     |
+| 1.1252        | 3.0   | 339  | 1.2494          | 0.62     |
+| 0.6748        | 4.0   | 452  | 0.9439          | 0.72     |
+| 0.6665        | 5.0   | 565  | 1.0755          | 0.66     |
+| 0.5936        | 6.0   | 678  | 0.8247          | 0.78     |
+| 0.3746        | 7.0   | 791  | 0.8514          | 0.74     |
+| 0.1953        | 8.0   | 904  | 0.7913          | 0.8      |
+| 0.2671        | 9.0   | 1017 | 0.7756          | 0.82     |
+| 0.053         | 10.0  | 1130 | 0.7935          | 0.84     |
+| 0.0531        | 11.0  | 1243 | 0.8997          | 0.83     |
+| 0.0449        | 12.0  | 1356 | 0.7957          | 0.84     |
 
 
 ### Framework versions

model.safetensors

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 size 378310592

runs/Mar11_09-06-29_78d050ca0066/events.out.tfevents.1710147991.78d050ca0066.14852.0

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training_args.bin

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