End of training

README.md

@@ -8,9 +8,22 @@ tags:
 - generated_from_trainer
 datasets:
 - yonisaka/asr_medical_id
+metrics:
+- wer
 model-index:
 - name: whisper-small-id-v2
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: ASR Medical Indonesian
+      type: yonisaka/asr_medical_id
+      args: 'config: id, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,6 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-small-id-v2
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ASR Medical Indonesian dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0001
+- Wer: 0.0
 
 ## Model description
 
@@ -44,11 +60,14 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 100
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch    | Step | Validation Loss | Wer |
+|:-------------:|:--------:|:----:|:---------------:|:---:|
+| 0.0001        | 142.8571 | 1000 | 0.0001          | 0.0 |
 
 
 ### Framework versions