End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.7846383810509371
+      value: 0.6497412901000345
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4528
-- Wer: 0.7846
+- Loss: 0.8913
+- Wer: 0.6497
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.003
+- learning_rate: 0.0003
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -67,12 +67,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5925        | 1.67  | 200  | 1.4259          | 0.9056 |
-| 1.1707        | 3.33  | 400  | 1.4610          | 0.9066 |
-| 0.8991        | 5.0   | 600  | 1.3230          | 0.8607 |
-| 0.6162        | 6.67  | 800  | 1.3388          | 0.8568 |
-| 0.4192        | 8.33  | 1000 | 1.4365          | 0.8083 |
-| 0.2729        | 10.0  | 1200 | 1.4528          | 0.7846 |
+| 5.6444        | 1.67  | 200  | 2.9379          | 1.0    |
+| 2.7964        | 3.33  | 400  | 1.9912          | 0.9927 |
+| 1.1945        | 5.0   | 600  | 0.9492          | 0.7889 |
+| 0.6065        | 6.67  | 800  | 0.8534          | 0.7137 |
+| 0.3859        | 8.33  | 1000 | 0.8933          | 0.6689 |
+| 0.2724        | 10.0  | 1200 | 0.8913          | 0.6497 |
 
 
 ### Framework versions