End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.0207
+- Loss: 0.1441
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 2    | 6.9955          |
-| No log        | 2.0   | 4    | 5.6194          |
-| No log        | 3.0   | 6    | 4.5650          |
-| No log        | 4.0   | 8    | 4.2867          |
-| No log        | 5.0   | 10   | 4.0207          |
+| 0.5271        | 1.0   | 292  | 0.3598          |
+| 0.3254        | 2.0   | 584  | 0.2609          |
+| 0.2019        | 3.0   | 876  | 0.2030          |
+| 0.1125        | 4.0   | 1168 | 0.1562          |
+| 0.0543        | 5.0   | 1460 | 0.1441          |
 
 
 ### Framework versions