End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.0013157894736842105
+      value: 0.006578947368421052
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the vivos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.3540
-- Accuracy: 0.0013
+- Loss: 8.4169
+- Accuracy: 0.0066
 
 ## Model description
 
@@ -54,25 +54,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 8
+- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
 - num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.7037        | 0.9997 | 1457 | 5.3540          | 0.0013   |
-| 0.0203        | 2.0    | 2915 | 8.2572          | 0.0013   |
-| 0.0718        | 2.9997 | 4372 | 9.1738          | 0.0      |
-| 0.0027        | 4.0    | 5830 | 10.0341         | 0.0      |
-| 0.0019        | 4.9983 | 7285 | 10.3670         | 0.0      |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9339        | 1.0   | 729  | 4.8775          | 0.0013   |
+| 0.0735        | 2.0   | 1458 | 6.9721          | 0.0      |
+| 0.0222        | 3.0   | 2187 | 7.9500          | 0.0      |
+| 0.0368        | 4.0   | 2916 | 8.4169          | 0.0066   |
+| 0.0118        | 5.0   | 3645 | 8.6286          | 0.0066   |
 
 
 ### Framework versions

model.safetensors

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runs/Aug10_22-57-11_b9c10ae3fc5d/events.out.tfevents.1723330635.b9c10ae3fc5d.24.0

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