update model card README.md

README.md

@@ -12,7 +12,10 @@ 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: 3.7473
+- Cer: 0.9999
 
 ## Model description
 
@@ -41,6 +44,22 @@ The following hyperparameters were used during training:
 - training_steps: 1000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.2296        | 0.56  | 100  | 4.0607          | 0.9999 |
+| 3.6029        | 1.13  | 200  | 3.9200          | 0.9999 |
+| 3.6003        | 1.69  | 300  | 3.7882          | 0.9999 |
+| 3.6346        | 2.26  | 400  | 3.7473          | 0.9999 |
+| 3.6041        | 2.82  | 500  | 3.9651          | 0.9999 |
+| 3.5491        | 3.39  | 600  | 3.9053          | 0.9999 |
+| 3.568         | 3.95  | 700  | 3.7021          | 0.9999 |
+| 3.5773        | 4.52  | 800  | 3.6694          | 0.9999 |
+| 3.5367        | 5.08  | 900  | 3.6426          | 0.9999 |
+| 3.5112        | 5.65  | 1000 | 3.6260          | 0.9999 |
+
+
 ### Framework versions
 
 - Transformers 4.26.1