update model card README.md

README.md

@@ -7,9 +7,24 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
 - name: Whisper Tiny hi - Amit Kayal
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: hi
+      split: test
+      args: hi
+    metrics:
+    - name: Wer
+      type: wer
+      value: 43.87825289464634
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,6 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Tiny hi - Amit Kayal
 
 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: 0.8996
+- Wer: 43.8783
 
 ## Model description
 
@@ -46,9 +64,20 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2401        | 3.04  | 1000 | 0.5760          | 43.9012 |
+| 0.1308        | 7.02  | 2000 | 0.6318          | 42.4768 |
+| 0.0399        | 10.05 | 3000 | 0.7560          | 44.2451 |
+| 0.0098        | 14.04 | 4000 | 0.8422          | 43.4885 |
+| 0.0153        | 18.02 | 5000 | 0.8996          | 43.8783 |
+
+
 ### Framework versions
 
 - Transformers 4.26.0.dev0
-- Pytorch 1.12.1+cu113
+- Pytorch 1.10.0
 - Datasets 2.7.1.dev0
 - Tokenizers 0.13.2