End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.8827388273882739
+      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-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: 1.3271
-- Wer: 0.8827
+- Loss: inf
+- Wer: 1.0
 
 ## 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    |
-|:-------------:|:-------:|:----:|:---------------:|:------:|
-| 6.8337        | 9.8765  | 400  | 3.4890          | 1.0    |
-| 3.2878        | 19.7531 | 800  | 3.2821          | 1.0    |
-| 2.4073        | 29.6296 | 1200 | 1.3271          | 0.8827 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer |
+|:-------------:|:-------:|:----:|:---------------:|:---:|
+| 3.6321        | 9.8765  | 400  | inf             | 1.0 |
+| 2.5869        | 19.7531 | 800  | inf             | 1.0 |
 
 
 ### Framework versions