End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 40.22085368443406
+      value: 39.73242726693565
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ 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: 0.2168
-- Wer: 40.2209
+- Loss: 0.2167
+- Wer: 39.7324
 
 ## Model description
 
@@ -69,10 +69,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0953        | 1.4184 | 1000 | 0.1989          | 40.8367 |
-| 0.0308        | 2.8369 | 2000 | 0.2038          | 41.3888 |
-| 0.0037        | 4.2553 | 3000 | 0.2122          | 40.0722 |
-| 0.0019        | 5.6738 | 4000 | 0.2168          | 40.2209 |
+| 0.0957        | 1.4184 | 1000 | 0.1986          | 40.8792 |
+| 0.0315        | 2.8369 | 2000 | 0.2038          | 40.4544 |
+| 0.0036        | 4.2553 | 3000 | 0.2102          | 40.1571 |
+| 0.0018        | 5.6738 | 4000 | 0.2167          | 39.7324 |
 
 
 ### Framework versions