updated readme

README.md

@@ -21,7 +21,7 @@ model-index:
       metrics:
         - name: Wer
           type: wer
-          value: 14.751
+          value: 15.021
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,7 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-small-tamil
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs dataset for Tamil.
-
+It achieves the following results on the evaluation set:
+- Loss: 0.42
+- Wer: 15.02
 ## Model description
 
 More information needed
@@ -60,6 +62,15 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0882        | 2.27  | 500  | 0.2674          | 16.7354 |
+| 0.0026        | 11.76 | 1000 | 0.3508          | 15.3720 |
+| 0.0012        | 17.64 | 1500 | 0.3920          | 15.6156 |
+| 0.0009        | 23.53 | 2000 | 0.4076          | 15.4284 |
+| 0.0002        | 29.41 | 2500 | 0.4268          | 15.0215 |
+
 ### Framework versions
 
 - Transformers 4.24.0