End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.6801968019680197
+      value: 0.6469864698646987
 ---
 
 <!-- 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: 0.9148
-- Wer: 0.6802
+- Loss: 0.9825
+- Wer: 0.6470
 
 ## Model description
 
@@ -61,15 +61,16 @@ 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: 20
+- num_epochs: 30
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:------:|
-| 6.2017        | 9.8765  | 400  | 1.5721          | 0.9147 |
-| 0.514         | 19.7531 | 800  | 0.9148          | 0.6802 |
+| 6.2484        | 9.8765  | 400  | 1.4669          | 0.9065 |
+| 0.515         | 19.7531 | 800  | 0.9403          | 0.6835 |
+| 0.1359        | 29.6296 | 1200 | 0.9825          | 0.6470 |
 
 
 ### Framework versions