update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 1.08812729498164
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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: 0.9082
-- Wer: 1.0881
+- Loss: 0.9454
+- Wer: 1.0
 
 ## Model description
 
@@ -60,14 +60,17 @@ 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: 100
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.6443        | 24.97 | 400  | 0.9082          | 1.0881 |
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 6.7758        | 24.97 | 400  | 3.3457          | 1.0 |
+| 1.8583        | 49.97 | 800  | 0.9008          | 1.0 |
+| 0.1326        | 74.97 | 1200 | 0.9277          | 1.0 |
+| 0.0597        | 99.97 | 1600 | 0.9454          | 1.0 |
 
 
 ### Framework versions