update model card README.md

README.md

@@ -1,18 +1,41 @@
 ---
+language:
+- ta
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
-- name: whisper-tiny-ta
-  results: []
+- name: Whisper Tiny Ta - Bharat Ramanathan
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 31.399708853500375
 ---
 
 <!-- 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-tiny-ta
+# Whisper Tiny Ta - Bharat Ramanathan
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3192
+- Wer: 31.3997
 
 ## Model description
 
@@ -43,6 +66,17 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.5622        | 0.2   | 1000 | 0.4460          | 41.4141 |
+| 0.4151        | 0.4   | 2000 | 0.3657          | 35.1390 |
+| 0.3727        | 0.6   | 3000 | 0.3417          | 33.1723 |
+| 0.3519        | 0.8   | 4000 | 0.3252          | 31.9497 |
+| 0.3354        | 1.0   | 5000 | 0.3192          | 31.3997 |
+
+
 ### Framework versions
 
 - Transformers 4.26.0.dev0