update model card README.md

README.md

@@ -1,18 +1,26 @@
 ---
+language:
+- te
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
+metrics:
+- wer
 model-index:
-- name: whisper-base-te
+- name: Whisper Base Te - Bharat Ramanathan
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# whisper-base-te
+# Whisper Base Te - Bharat Ramanathan
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2455
+- Wer: 42.6485
 
 ## Model description
 
@@ -41,6 +49,22 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.6341        | 0.1   | 500  | 0.3894          | 60.7108 |
+| 0.349         | 0.2   | 1000 | 0.3081          | 52.0935 |
+| 0.2792        | 0.3   | 1500 | 0.2874          | 49.7079 |
+| 0.2433        | 0.4   | 2000 | 0.2720          | 47.5657 |
+| 0.2224        | 1.06  | 2500 | 0.2632          | 45.2288 |
+| 0.2058        | 1.16  | 3000 | 0.2529          | 44.3038 |
+| 0.1944        | 1.26  | 3500 | 0.2519          | 44.5959 |
+| 0.1869        | 1.36  | 4000 | 0.2475          | 43.7196 |
+| 0.1811        | 2.03  | 4500 | 0.2451          | 43.3301 |
+| 0.1775        | 2.13  | 5000 | 0.2455          | 42.6485 |
+
+
 ### Framework versions
 
 - Transformers 4.26.0.dev0