End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8595505617977528
+      value: 0.8876404494382022
 ---
 
 <!-- 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 [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7516
-- Accuracy: 0.8596
+- Loss: 0.4928
+- Accuracy: 0.8876
 
 ## Model description
 
@@ -60,18 +60,22 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- num_epochs: 6
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9888 | 11   | 1.4029          | 0.5843   |
-| No log        | 1.9775 | 22   | 1.0708          | 0.7022   |
-| No log        | 2.9663 | 33   | 0.9015          | 0.8090   |
-| No log        | 3.9551 | 44   | 0.8003          | 0.8427   |
-| No log        | 4.9438 | 55   | 0.7582          | 0.8483   |
-| No log        | 5.9326 | 66   | 0.7516          | 0.8596   |
+| No log        | 0.9888 | 11   | 1.3978          | 0.5899   |
+| No log        | 1.9775 | 22   | 1.0485          | 0.7022   |
+| No log        | 2.9663 | 33   | 0.8464          | 0.8258   |
+| No log        | 3.9551 | 44   | 0.6916          | 0.8596   |
+| No log        | 4.9438 | 55   | 0.6074          | 0.8596   |
+| No log        | 5.9326 | 66   | 0.5557          | 0.8708   |
+| No log        | 6.9213 | 77   | 0.5206          | 0.8764   |
+| No log        | 8.0    | 89   | 0.4942          | 0.8876   |
+| No log        | 8.9888 | 100  | 0.4945          | 0.8876   |
+| No log        | 9.8876 | 110  | 0.4928          | 0.8876   |
 
 
 ### Framework versions

model.safetensors

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 size 94770700

runs/Aug07_19-46-20_DesMar/events.out.tfevents.1723052780.DesMar.7092.0

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training_args.bin

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