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 [crossdelenna/whisper-medium.en](https://huggingface.co/crossdelenna/whisper-medium.en) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0303
-- Wer: 2.5444
+- Loss: 0.0261
+- Wer: 2.4421
 
 ## Model description
 
@@ -38,8 +38,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 6
+- eval_batch_size: 6
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| 0.0838        | 0.5161 | 400  | 0.0678          | 5.0633 |
-| 0.0726        | 1.0323 | 800  | 0.0303          | 2.5444 |
+| 0.0446        | 0.3872 | 400  | 0.0520          | 4.2961 |
+| 0.0387        | 0.7744 | 800  | 0.0261          | 2.4421 |
 
 
 ### Framework versions