End of training

README.md

@@ -12,7 +12,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: whisper-small-finetuned-common-voice-mr
+- name: whisper-small-finetuned-translation-common-voice-mr
   results:
   - task:
       name: Automatic Speech Recognition
@@ -26,19 +26,19 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 17.890322904635163
+      value: 17.817506151760156
 ---
 
 <!-- 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-finetuned-common-voice-mr
+# whisper-small-finetuned-translation-common-voice-mr
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2477
-- Wer Ortho: 44.0644
-- Wer: 17.8903
+- Loss: 0.2483
+- Wer Ortho: 43.9028
+- Wer: 17.8175
 
 ## Model description
 
@@ -71,7 +71,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.1801        | 1.1737 | 500  | 0.2477          | 44.0644   | 17.8903 |
+| 0.182         | 1.1737 | 500  | 0.2483          | 43.9028   | 17.8175 |
 
 
 ### Framework versions