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-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4688
-- Accuracy: 0.9061
+- Loss: 0.5364
+- Accuracy: 0.9067
 
 ## Model description
 
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1229        | 1.0   | 505  | 0.4320          | 0.8990   |
-| 0.0833        | 2.0   | 1010 | 0.4022          | 0.9033   |
-| 0.0548        | 3.0   | 1515 | 0.3930          | 0.9055   |
-| 0.0566        | 4.0   | 2021 | 0.4313          | 0.9051   |
-| 0.0565        | 5.0   | 2526 | 0.4355          | 0.9059   |
-| 0.0165        | 6.0   | 3031 | 0.4096          | 0.9065   |
-| 0.0181        | 7.0   | 3536 | 0.4436          | 0.9057   |
-| 0.017         | 8.0   | 4042 | 0.4663          | 0.9061   |
-| 0.0077        | 9.0   | 4547 | 0.4599          | 0.9065   |
-| 0.0042        | 10.0  | 5050 | 0.4688          | 0.9061   |
+| 0.0374        | 1.0   | 505  | 0.4618          | 0.9014   |
+| 0.0307        | 2.0   | 1010 | 0.4482          | 0.9022   |
+| 0.0312        | 3.0   | 1515 | 0.4575          | 0.9039   |
+| 0.022         | 4.0   | 2021 | 0.5217          | 0.9014   |
+| 0.0227        | 5.0   | 2526 | 0.4511          | 0.9065   |
+| 0.005         | 6.0   | 3031 | 0.5395          | 0.9053   |
+| 0.0016        | 7.0   | 3536 | 0.5289          | 0.9045   |
+| 0.001         | 8.0   | 4042 | 0.5771          | 0.9055   |
+| 0.0002        | 9.0   | 4547 | 0.5407          | 0.9065   |
+| 0.0001        | 10.0  | 5050 | 0.5364          | 0.9067   |
 
 
 ### Framework versions