update model card README.md

README.md

@@ -1,18 +1,26 @@
 ---
+language:
+- kn
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
+metrics:
+- wer
 model-index:
-- name: whisper-base-kn
+- name: Whisper Base Kn - 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-kn
+# Whisper Base Kn - 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: 0.1974
+- Wer: 30.8790
 
 ## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.572         | 0.1   | 500  | 0.3198          | 50.3005 |
+| 0.3153        | 0.2   | 1000 | 0.2464          | 37.2652 |
+| 0.2533        | 0.3   | 1500 | 0.2298          | 36.5515 |
+| 0.2212        | 1.04  | 2000 | 0.2157          | 34.5229 |
+| 0.2013        | 1.14  | 2500 | 0.2090          | 32.6071 |
+| 0.1881        | 1.24  | 3000 | 0.2043          | 32.7198 |
+| 0.1784        | 1.34  | 3500 | 0.2014          | 30.8039 |
+| 0.1715        | 2.08  | 4000 | 0.2014          | 31.5928 |
+| 0.166         | 2.18  | 4500 | 0.1991          | 31.2547 |
+| 0.1616        | 2.28  | 5000 | 0.1974          | 30.8790 |
+
+
 ### Framework versions
 
 - Transformers 4.26.0.dev0