End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6966292134831461
+      value: 0.6629213483146067
 ---
 
 <!-- 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: 1.1038
-- Accuracy: 0.6966
+- Loss: 1.3036
+- Accuracy: 0.6629
 
 ## Model description
 
@@ -53,11 +53,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.001
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 123
 - gradient_accumulation_steps: 16
-- total_train_batch_size: 64
+- total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 1
@@ -66,7 +66,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9888 | 11   | 1.1038          | 0.6966   |
+| No log        | 0.8989 | 5    | 1.3036          | 0.6629   |
 
 
 ### Framework versions

runs/Jul03_17-30-00_DesMar/events.out.tfevents.1720020601.DesMar.13692.0

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+size 6738

runs/Jul03_17-30-00_DesMar/events.out.tfevents.1720020682.DesMar.13692.1

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