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-batch4-lr4-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: 0.8560394765071873
+      value: 19.102829537612145
 ---
 
 <!-- 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-batch4-lr4-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: 0.0085
-- Wer: 0.8560
+- Loss: 0.4077
+- Wer: 19.1028
 
 ## Model description
 
@@ -68,11 +65,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.9556        | 0.79  | 1000 | 0.6009          | 34.4239 |
-| 0.4227        | 1.59  | 2000 | 0.2834          | 15.7777 |
-| 0.1477        | 2.38  | 3000 | 0.1198          | 7.7644  |
-| 0.0392        | 3.17  | 4000 | 0.0399          | 2.1862  |
-| 0.0266        | 3.97  | 5000 | 0.0085          | 0.8560  |
+| 0.9789        | 0.48  | 1000 | 0.8522          | 41.7483 |
+| 0.7245        | 0.97  | 2000 | 0.7121          | 36.8162 |
+| 0.3335        | 1.45  | 3000 | 0.5499          | 28.7141 |
+| 0.2575        | 1.94  | 4000 | 0.4435          | 22.0934 |
+| 0.0593        | 2.42  | 5000 | 0.4077          | 19.1028 |
 
 
 ### Framework versions