End of training

README.md

@@ -20,11 +20,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0517
-- Accuracy: 0.9907
-- Far: 0.0059
-- Frr: 0.0096
-- Eer: 0.0078
+- Loss: 0.0624
+- Accuracy: 0.9918
+- Far: 0.0024
+- Frr: 0.0088
+- Eer: 0.0056
 
 ## Model description
 
@@ -51,17 +51,17 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2.0
+- num_epochs: 4.0
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Far    | Frr    | Eer    |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|
-| 0.3474        | 0.39  | 2500  | 0.1761          | 0.8974   | 1.0    | 0.0    | 0.5    |
-| 0.1166        | 0.79  | 5000  | 0.0269          | 0.9948   | 0.0247 | 0.0029 | 0.0138 |
-| 0.0531        | 1.18  | 7500  | 0.0435          | 0.9909   | 0.0078 | 0.0093 | 0.0086 |
-| 0.0477        | 1.58  | 10000 | 0.0540          | 0.9899   | 0.0055 | 0.0106 | 0.0081 |
-| 0.0472        | 1.97  | 12500 | 0.0517          | 0.9907   | 0.0059 | 0.0096 | 0.0078 |
+| 0.0726        | 0.79  | 5000  | 0.1522          | 0.9648   | 0.0027 | 0.0389 | 0.0208 |
+| 0.0338        | 1.58  | 10000 | 0.0995          | 0.9852   | 0.0024 | 0.0162 | 0.0093 |
+| 0.0256        | 2.36  | 15000 | 0.0434          | 0.9940   | 0.0027 | 0.0063 | 0.0045 |
+| 0.0294        | 3.15  | 20000 | 0.0756          | 0.9899   | 0.0020 | 0.0111 | 0.0065 |
+| 0.0175        | 3.94  | 25000 | 0.0624          | 0.9918   | 0.0024 | 0.0088 | 0.0056 |
 
 
 ### Framework versions

model.safetensors

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runs/Mar14_11-42-30_4dfb58ae0f65/events.out.tfevents.1710416551.4dfb58ae0f65.13449.0

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training_args.bin

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