update model card README.md

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - openslr
+metrics:
+- wer
 model-index:
 - name: wav2vec2-telugu
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: openslr
+      type: openslr
+      config: SLR66
+      split: train
+      args: SLR66
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.2884547694473777
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-telugu
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the openslr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2982
+- Wer: 0.2885
 
 ## Model description
 
@@ -42,11 +60,20 @@ 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: 1
+- num_epochs: 30
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 6.6905        | 3.84  | 400  | 0.7109          | 0.7800 |
+| 0.4532        | 7.69  | 800  | 0.2972          | 0.3977 |
+| 0.1957        | 11.54 | 1200 | 0.2907          | 0.3522 |
+| 0.1284        | 15.38 | 1600 | 0.3117          | 0.3317 |
+| 0.0979        | 19.23 | 2000 | 0.3000          | 0.3353 |
+| 0.0749        | 23.08 | 2400 | 0.2823          | 0.3045 |
+| 0.0584        | 26.92 | 2800 | 0.2982          | 0.2885 |
 
 
 ### Framework versions