update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: wav2vec2-large-asr-th
   results: []
@@ -12,7 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-asr-th
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5207
+- Wer: 0.4689
+- Cer: 0.1571
 
 ## Model description
 
@@ -43,6 +49,19 @@ The following hyperparameters were used during training:
 - training_steps: 3500
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 3.6231        | 0.57  | 500  | 3.5254          | 1.0    | 0.9999 |
+| 1.5065        | 1.14  | 1000 | 1.0542          | 0.7677 | 0.2939 |
+| 1.0592        | 1.71  | 1500 | 0.7072          | 0.5837 | 0.2054 |
+| 1.0818        | 2.28  | 2000 | 0.6309          | 0.5414 | 0.1887 |
+| 1.0136        | 2.85  | 2500 | 0.5573          | 0.4966 | 0.1690 |
+| 0.7907        | 3.42  | 3000 | 0.5207          | 0.4689 | 0.1571 |
+| 0.8223        | 4.0   | 3500 | 0.5079          | 0.4642 | 0.1546 |
+
+
 ### Framework versions
 
 - Transformers 4.26.1