update model card README.md

README.md

@@ -10,7 +10,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: whisper-fine-tuned-de_arga
+- name: whisper-fine-tuned-de_arg_new
   results:
   - task:
       name: Automatic Speech Recognition
@@ -19,23 +19,23 @@ model-index:
       name: Common Voice 11.0
       type: mozilla-foundation/common_voice_11_0
       config: de
-      split: validation[2000:4000]
+      split: validation[4000:6000]
       args: 'config: german, split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 13.547131036720566
+      value: 13.674242424242426
 ---
 
 <!-- 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-fine-tuned-de_arga
+# whisper-fine-tuned-de_arg_new
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3381
-- Wer: 13.5471
+- Loss: 0.3310
+- Wer: 13.6742
 
 ## Model description
 
@@ -70,11 +70,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.1278        | 1.6   | 1000 | 0.2690          | 13.9852 |
-| 0.0155        | 3.2   | 2000 | 0.3036          | 13.5417 |
-| 0.0035        | 4.8   | 3000 | 0.3180          | 13.4985 |
-| 0.0012        | 6.4   | 4000 | 0.3335          | 13.5634 |
-| 0.001         | 8.0   | 5000 | 0.3381          | 13.5471 |
+| 0.1345        | 1.6   | 1000 | 0.2689          | 13.9665 |
+| 0.0125        | 3.2   | 2000 | 0.2994          | 14.0206 |
+| 0.0049        | 4.8   | 3000 | 0.3150          | 13.7933 |
+| 0.0013        | 6.4   | 4000 | 0.3256          | 13.6526 |
+| 0.0009        | 8.0   | 5000 | 0.3310          | 13.6742 |
 
 
 ### Framework versions