End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0438
-- Wer: 37.3060
+- Loss: 0.0335
+- Wer: 32.1928
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 4
+- learning_rate: 1e-05
+- train_batch_size: 8
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0519        | 0.0882 | 500  | 0.0612          | 44.9662 |
-| 0.0439        | 0.1763 | 1000 | 0.0438          | 37.3060 |
+| 0.0408        | 0.1763 | 500  | 0.0409          | 36.4041 |
+| 0.036         | 0.3526 | 1000 | 0.0335          | 32.1928 |
 
 
 ### Framework versions