End of training

README.md

@@ -22,8 +22,8 @@ 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 Extracted Youtube with self developed dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3661
-- Wer: 14.5130
+- Loss: 0.3603
+- Wer: 14.3506
 
 ## Model description
 
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer     |
 |:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0095        | 5.4054  | 1000 | 0.3088          | 14.5779 |
-| 0.0007        | 10.8108 | 2000 | 0.3393          | 14.6104 |
-| 0.0003        | 16.2162 | 3000 | 0.3535          | 14.3506 |
-| 0.0002        | 21.6216 | 4000 | 0.3624          | 14.5130 |
-| 0.0002        | 27.0270 | 5000 | 0.3661          | 14.5130 |
+| 0.0104        | 5.4054  | 1000 | 0.3021          | 14.8377 |
+| 0.0006        | 10.8108 | 2000 | 0.3320          | 14.3182 |
+| 0.0003        | 16.2162 | 3000 | 0.3496          | 14.0909 |
+| 0.0002        | 21.6216 | 4000 | 0.3569          | 14.3182 |
+| 0.0002        | 27.0270 | 5000 | 0.3603          | 14.3506 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d042901011938d2cbc15f5f45d0fe4f98a71dd176c6dbe86141cc226c6fa7396
+oid sha256:235b916d08702a2c606cf20c21cb8f9172a66c1e16f9be7679922194e4f79990
 size 966995080