update model card README.md

README.md

@@ -10,7 +10,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: WhpTiny-hi-v2
+- name: whisper-tiny-hi
   results:
   - task:
       name: Automatic Speech Recognition
@@ -24,18 +24,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 43.666169895678095
+      value: 43.88685085406397
 ---
 
 <!-- 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. -->
 
-# WhpTiny-hi-v2
+# whisper-tiny-hi
 
 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: 1.0825
-- Wer: 43.6662
+- Loss: 0.7990
+- Wer: 43.8869
 
 ## Model description
 
@@ -62,18 +62,16 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 5000
+- training_steps: 3000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.1627        | 7.01  | 1000 | 0.5714          | 40.9378 |
-| 0.0275        | 14.02 | 2000 | 0.7620          | 42.5943 |
-| 0.0032        | 22.0  | 3000 | 0.9561          | 43.0443 |
-| 0.0012        | 29.01 | 4000 | 1.0517          | 43.4426 |
-| 0.0008        | 36.02 | 5000 | 1.0825          | 43.6662 |
+| 0.1747        | 7.02  | 1000 | 0.5674          | 41.6800 |
+| 0.0466        | 14.03 | 2000 | 0.7042          | 43.7378 |
+| 0.0174        | 22.0  | 3000 | 0.7990          | 43.8869 |
 
 
 ### Framework versions