End of training

README.md

@@ -6,9 +6,24 @@ tags:
 - generated_from_trainer
 datasets:
 - marsyas/gtzan
+metrics:
+- accuracy
 model-index:
 - name: distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2-finetuned-gtzan
-  results: []
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+      config: all
+      split: train
+      args: all
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.86
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,6 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 # distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2-finetuned-gtzan
 
 This model is a fine-tuned version of [sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2](https://huggingface.co/sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8689
+- Accuracy: 0.86
 
 ## Model description
 
@@ -35,7 +53,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 1e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
@@ -49,6 +67,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.0596        | 0.9956 | 56   | 0.8689          | 0.86     |
 
 
 ### Framework versions