update model card README.md

README.md

@@ -1,42 +1,39 @@
 ---
-language:
-- id
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_9_0
+- common_voice_9_0
 metrics:
 - wer
 model-index:
-- name: Whisper Small Indonesian
+- name: cv9-special-batch8-lr6-small
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_9_0 id
-      type: mozilla-foundation/common_voice_9_0
+      name: common_voice_9_0
+      type: common_voice_9_0
       config: id
-      split: train
+      split: test
       args: id
     metrics:
     - name: Wer
       type: wer
-      value: 6.472859901308732
+      value: 14.409937888198757
 ---
 
 <!-- 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 Small Indonesian
+# cv9-special-batch8-lr6-small
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_9_0 id dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_9_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1596
-- Wer: 6.4729
+- Loss: 0.2594
+- Wer: 14.4099
 
 ## Model description
 
@@ -68,11 +65,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.3812        | 1.58  | 1000 | 0.3284          | 14.3489 |
-| 0.243         | 3.17  | 2000 | 0.2384          | 10.1523 |
-| 0.2088        | 4.75  | 3000 | 0.1916          | 7.9446  |
-| 0.1798        | 6.34  | 4000 | 0.1675          | 6.8483  |
-| 0.1671        | 7.92  | 5000 | 0.1596          | 6.4729  |
+| 0.3678        | 0.97  | 1000 | 0.2947          | 16.3377 |
+| 0.2802        | 1.94  | 2000 | 0.2683          | 14.8102 |
+| 0.2488        | 2.9   | 3000 | 0.2623          | 14.9390 |
+| 0.2066        | 3.87  | 4000 | 0.2590          | 14.4559 |
+| 0.2122        | 4.84  | 5000 | 0.2594          | 14.4099 |
 
 
 ### Framework versions