End of training

README.md

@@ -18,7 +18,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5138
+- Loss: 0.4242
 - Wer: 0.1293
 
 ## Model description
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-06
+- learning_rate: 5e-05
 - train_batch_size: 32
 - eval_batch_size: 4
 - seed: 42
@@ -52,18 +52,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:------:|
-| 2.1712        | 2.2727  | 25   | 1.4956          | 0.2397 |
-| 0.8938        | 4.5455  | 50   | 0.9926          | 0.1682 |
-| 0.5426        | 6.8182  | 75   | 0.8672          | 0.1535 |
-| 0.4142        | 9.0909  | 100  | 0.7799          | 0.1462 |
-| 0.3002        | 11.3636 | 125  | 0.6942          | 0.1409 |
-| 0.2155        | 13.6364 | 150  | 0.6290          | 0.1346 |
-| 0.1524        | 15.9091 | 175  | 0.5800          | 0.1335 |
-| 0.1109        | 18.1818 | 200  | 0.5496          | 0.1314 |
-| 0.0826        | 20.4545 | 225  | 0.5317          | 0.1304 |
-| 0.0681        | 22.7273 | 250  | 0.5210          | 0.1304 |
-| 0.0575        | 25.0    | 275  | 0.5160          | 0.1293 |
-| 0.053         | 27.2727 | 300  | 0.5138          | 0.1293 |
+| 1.6045        | 2.2727  | 25   | 0.9047          | 0.1535 |
+| 0.2267        | 4.5455  | 50   | 0.4149          | 0.1262 |
+| 0.0207        | 6.8182  | 75   | 0.4454          | 0.1483 |
+| 0.0134        | 9.0909  | 100  | 0.4660          | 0.1388 |
+| 0.009         | 11.3636 | 125  | 0.4311          | 0.1462 |
+| 0.0051        | 13.6364 | 150  | 0.4368          | 0.1356 |
+| 0.0018        | 15.9091 | 175  | 0.4294          | 0.1462 |
+| 0.0003        | 18.1818 | 200  | 0.4234          | 0.1356 |
+| 0.0002        | 20.4545 | 225  | 0.4235          | 0.1325 |
+| 0.0002        | 22.7273 | 250  | 0.4239          | 0.1304 |
+| 0.0002        | 25.0    | 275  | 0.4240          | 0.1283 |
+| 0.0002        | 27.2727 | 300  | 0.4242          | 0.1293 |
 
 
 ### Framework versions