End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 13.528336380255942
+      value: 12.705667276051189
 ---
 
 <!-- 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-medium.en](https://huggingface.co/openai/whisper-medium.en) on the Common Voice 17.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3982
-- Wer: 13.5283
+- Loss: 0.3904
+- Wer: 12.7057
 
 ## Model description
 
@@ -55,7 +55,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 9e-06
+- learning_rate: 1.1e-05
 - train_batch_size: 32
 - eval_batch_size: 4
 - seed: 42
@@ -67,9 +67,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.3019        | 0.6   | 675  | 0.3982          | 13.5283 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.299         | 0.3333 | 375  | 0.4141          | 13.8026 |
+| 0.261         | 0.6667 | 750  | 0.3941          | 13.5283 |
+| 0.2152        | 1.0    | 1125 | 0.3904          | 12.7057 |
 
 
 ### Framework versions