End of training

README.md

@@ -1,29 +1,29 @@
 ---
-base_model: openai/whisper-small
-datasets:
-- mozilla-foundation/common_voice_11_0
+library_name: transformers
 language:
 - ne
-library_name: transformers
 license: apache-2.0
-metrics:
-- wer
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
 - name: Whisper Small Nepali - Subash Acharya
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: Common Voice 11.0
       type: mozilla-foundation/common_voice_11_0
       args: 'config: mr, split: test'
     metrics:
-    - type: wer
-      value: 63.6594663278272
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 50.526315789473685
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7979
-- Wer: 63.6595
+- Loss: 0.4998
+- Wer: 50.5263
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer     |
 |:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0004        | 32.2581 | 1000 | 0.7979          | 63.6595 |
+| 0.001         | 11.2360 | 1000 | 0.4998          | 50.5263 |
 
 
 ### Framework versions