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-batch12-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: 0.3947650718729886
+      value: 17.593742811134117
 ---
 
 <!-- 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-batch12-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: 0.0004
-- Wer: 0.3948
+- Loss: 0.4567
+- Wer: 17.5937
 
 ## Model description
 
@@ -68,11 +65,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.2264        | 2.38  | 1000 | 0.1836          | 14.9989 |
-| 0.0873        | 4.75  | 2000 | 0.0633          | 5.0869  |
-| 0.0236        | 7.13  | 3000 | 0.0262          | 1.8086  |
-| 0.0068        | 9.5   | 4000 | 0.0062          | 0.6222  |
-| 0.0002        | 11.88 | 5000 | 0.0004          | 0.3948  |
+| 0.3743        | 1.45  | 1000 | 0.5498          | 28.2724 |
+| 0.1633        | 2.9   | 2000 | 0.5010          | 25.1530 |
+| 0.0505        | 4.35  | 3000 | 0.5049          | 22.1670 |
+| 0.0136        | 5.81  | 4000 | 0.4631          | 18.6335 |
+| 0.0005        | 7.26  | 5000 | 0.4567          | 17.5937 |
 
 
 ### Framework versions