End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.5230
+- Loss: 4.0053
 - Cer: 18.4805
 - Wer: 34.2105
 
@@ -54,8 +54,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Cer     | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
-| 14.9946       | 0.6667 | 1    | 3.5230          | 18.4805 | 34.2105 |
-| 5.9705        | 2.0    | 3    | 3.5230          | 18.4805 | 34.2105 |
+| 18.1291       | 0.6667 | 1    | 4.0053          | 18.4805 | 34.2105 |
+| 8.9428        | 2.0    | 3    | 4.0053          | 18.4805 | 34.2105 |
 
 
 ### Framework versions

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a448eb5e30573bd0798ad79eb65af59a57d4ca233627a8198e81861663276779
+oid sha256:09f205f0ba163cf980efe1348b738ec1b1e9154d0c2ad859875d5884902aeaeb
 size 5240