End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.8174979851347721
+      value: 1.0
 ---
 
 <!-- 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-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9038
-- Wer: 0.8175
+- Loss: 3.0257
+- Wer: 1.0
 
 ## Model description
 
@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.0574        | 3.33  | 50   | 2.9873          | 1.0    |
-| 2.8631        | 6.67  | 100  | 2.7208          | 1.0    |
-| 2.0621        | 10.0  | 150  | 1.3181          | 1.0321 |
-| 1.0109        | 13.33 | 200  | 0.9915          | 0.8863 |
-| 0.6483        | 16.67 | 250  | 0.9177          | 0.8362 |
-| 0.5217        | 20.0  | 300  | 0.9038          | 0.8175 |
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 9.1355        | 3.33  | 50   | 3.2459          | 1.0 |
+| 3.1114        | 6.67  | 100  | 3.0770          | 1.0 |
+| 3.0762        | 10.0  | 150  | 3.0746          | 1.0 |
+| 3.0693        | 13.33 | 200  | 3.0675          | 1.0 |
+| 3.0649        | 16.67 | 250  | 3.0554          | 1.0 |
+| 3.0401        | 20.0  | 300  | 3.0257          | 1.0 |
 
 
 ### Framework versions