hubert-base-ls960-aug-two-class

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5967
-- Accuracy: 0.2326
+- Loss: 0.6927
+- Accuracy: 0.5156
 
 ## Model description
 
@@ -44,14 +44,23 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 30
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.5872        | 4.1667 | 100  | 1.5967          | 0.2326   |
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 0.6835        | 2.7778  | 100  | 0.6809          | 0.5625   |
+| 0.6998        | 5.5556  | 200  | 0.6928          | 0.5156   |
+| 0.711         | 8.3333  | 300  | 0.7050          | 0.4844   |
+| 0.6965        | 11.1111 | 400  | 0.6932          | 0.4844   |
+| 0.6994        | 13.8889 | 500  | 0.7030          | 0.4844   |
+| 0.7002        | 16.6667 | 600  | 0.6927          | 0.5156   |
+| 0.6982        | 19.4444 | 700  | 0.6935          | 0.4844   |
+| 0.6981        | 22.2222 | 800  | 0.6928          | 0.5156   |
+| 0.6942        | 25.0    | 900  | 0.6923          | 0.5156   |
+| 0.6951        | 27.7778 | 1000 | 0.6927          | 0.5156   |
 
 
 ### Framework versions

model.safetensors

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runs/Apr16_22-44-33_842f24bb1de5/events.out.tfevents.1744843484.842f24bb1de5.371.0

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training_args.bin

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 size 5304