End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.013157894736842105
+      value: 0.0013157894736842105
 ---
 
 <!-- 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: 5.9359
-- Accuracy: 0.0132
+- Loss: 5.3540
+- Accuracy: 0.0013
 
 ## Model description
 
@@ -57,20 +57,22 @@ The following hyperparameters were used during training:
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 32
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9990 | 364  | 4.0521          | 0.0      |
-| 3.0541        | 1.9979 | 728  | 5.0064          | 0.0013   |
-| 0.7657        | 2.9969 | 1092 | 5.9359          | 0.0132   |
+| 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      |
 
 
 ### Framework versions

model.safetensors

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