End of training

README.md

@@ -7,7 +7,7 @@ tags:
 - hf-asr-leaderboard
 - generated_from_trainer
 datasets:
-- team4/8dretna_daridja_w3
+- team4/8dretna_daridja
 metrics:
 - wer
 model-index:
@@ -17,13 +17,13 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: 8dretna_daridja_w3
-      type: team4/8dretna_daridja_w3
+      name: 8dretna_daridja
+      type: team4/8dretna_daridja
       args: 'split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 102.21300138312586
+      value: 94.27182780767228
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisperDAR
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the 8dretna_daridja_w3 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the 8dretna_daridja dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.9149
-- Wer: 102.2130
+- Loss: 4.6653
+- Wer: 94.2718
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer      |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 4.4665        | 0.0307 | 5    | 4.9149          | 102.2130 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 4.3481        | 0.0107 | 5    | 4.6653          | 94.2718 |
 
 
 ### Framework versions