End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 1.0
+      value: 0.5796
 ---
 
 <!-- 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_11_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Wer: 1.0
+- Loss: 0.7335
+- Wer: 0.5796
 
 ## Model description
 
@@ -61,16 +61,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 30
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer |
-|:-------------:|:-------:|:----:|:---------------:|:---:|
-| 0.1196        | 9.8765  | 400  | inf             | 1.0 |
-| 0.9112        | 19.7531 | 800  | inf             | 1.0 |
-| 5.074         | 29.6296 | 1200 | nan             | 1.0 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 4.7433        | 9.8765  | 400  | 0.9355          | 0.7508 |
+| 0.2856        | 19.7531 | 800  | 0.7335          | 0.5796 |
 
 
 ### Framework versions