End of training

README.md

@@ -22,19 +22,19 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.46064565231179044
+      value: 0.46007853403141363
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/khackho01125-CMC-University/Wav2Vec2/runs/3iat438k)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/khackho01125-CMC-University/Wav2Vec2/runs/abof73b7)
 # wav2vec2-vivos-asr
 
 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: 0.8301
-- Wer: 0.4606
+- Loss: 0.9791
+- Wer: 0.4601
 
 ## Model description
 
@@ -53,7 +53,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 8e-05
 - train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
@@ -69,21 +69,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.7906        | 2.0   | 292  | 3.6543          | 1.0    |
-| 3.4396        | 4.0   | 584  | 3.5033          | 1.0    |
-| 3.4081        | 6.0   | 876  | 3.4360          | 1.0    |
-| 2.4196        | 8.0   | 1168 | 1.5751          | 0.8002 |
-| 1.3285        | 10.0  | 1460 | 1.1699          | 0.6628 |
-| 1.0944        | 12.0  | 1752 | 1.0408          | 0.6051 |
-| 0.9742        | 14.0  | 2044 | 0.9772          | 0.5657 |
-| 0.9219        | 16.0  | 2336 | 0.9344          | 0.5515 |
-| 0.817         | 18.0  | 2628 | 0.8871          | 0.5176 |
-| 0.7636        | 20.0  | 2920 | 0.8734          | 0.5050 |
-| 0.7192        | 22.0  | 3212 | 0.8556          | 0.4909 |
-| 0.6904        | 24.0  | 3504 | 0.8471          | 0.4772 |
-| 0.6703        | 26.0  | 3796 | 0.8489          | 0.4754 |
-| 0.6343        | 28.0  | 4088 | 0.8364          | 0.4689 |
-| 0.6161        | 30.0  | 4380 | 0.8301          | 0.4606 |
+| 6.0539        | 2.0   | 292  | 3.6334          | 1.0    |
+| 3.4484        | 4.0   | 584  | 3.5348          | 1.0    |
+| 3.2755        | 6.0   | 876  | 2.4805          | 0.9952 |
+| 1.6061        | 8.0   | 1168 | 1.2597          | 0.7021 |
+| 1.0363        | 10.0  | 1460 | 1.0996          | 0.6158 |
+| 0.8403        | 12.0  | 1752 | 0.9858          | 0.5573 |
+| 0.726         | 14.0  | 2044 | 0.9625          | 0.5302 |
+| 0.6721        | 16.0  | 2336 | 0.9326          | 0.5124 |
+| 0.5697        | 18.0  | 2628 | 0.9399          | 0.5012 |
+| 0.5168        | 20.0  | 2920 | 0.9625          | 0.4930 |
+| 0.4663        | 22.0  | 3212 | 0.9432          | 0.4751 |
+| 0.4408        | 24.0  | 3504 | 0.9822          | 0.4723 |
+| 0.4231        | 26.0  | 3796 | 0.9629          | 0.4643 |
+| 0.3855        | 28.0  | 4088 | 0.9744          | 0.4639 |
+| 0.3671        | 30.0  | 4380 | 0.9791          | 0.4601 |
 
 
 ### Framework versions