End of training

README.md

@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the pphuc25/EngMed dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.4853
-- Wer: 66.7045
+- Loss: 1.3026
+- Wer: 27.9008
 
 ## Model description
 
@@ -50,28 +50,28 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Wer     |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|
-| 1.2768        | 1.0   | 2506  | 1.8614          | 66.7187 |
-| 0.9077        | 2.0   | 5012  | 1.9243          | 66.6383 |
-| 0.6044        | 3.0   | 7518  | 2.0816          | 71.3474 |
-| 0.4112        | 4.0   | 10024 | 2.2672          | 69.5064 |
-| 0.2788        | 5.0   | 12530 | 2.4746          | 65.6728 |
-| 0.1736        | 6.0   | 15036 | 2.6423          | 68.1196 |
-| 0.096         | 7.0   | 17542 | 2.7603          | 66.7897 |
-| 0.0632        | 8.0   | 20048 | 2.9008          | 68.4746 |
-| 0.046         | 9.0   | 22554 | 3.0145          | 69.8850 |
-| 0.0338        | 10.0  | 25060 | 3.0977          | 66.8749 |
-| 0.0203        | 11.0  | 27566 | 3.1614          | 67.5186 |
-| 0.0207        | 12.0  | 30072 | 3.2117          | 65.2847 |
-| 0.011         | 13.0  | 32578 | 3.3028          | 66.4253 |
-| 0.007         | 14.0  | 35084 | 3.3854          | 68.1102 |
-| 0.0071        | 15.0  | 37590 | 3.3962          | 66.8702 |
-| 0.0041        | 16.0  | 40096 | 3.4312          | 66.8323 |
-| 0.0043        | 17.0  | 42602 | 3.4244          | 66.5294 |
-| 0.0036        | 18.0  | 45108 | 3.4340          | 66.8512 |
-| 0.0019        | 19.0  | 47614 | 3.4810          | 67.6558 |
-| 0.0003        | 20.0  | 50120 | 3.4853          | 66.7045 |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.6316        | 1.0   | 323  | 0.7416          | 27.0570 |
+| 0.3434        | 2.0   | 646  | 0.8113          | 45.2004 |
+| 0.1758        | 3.0   | 969  | 0.9400          | 37.6055 |
+| 0.0946        | 4.0   | 1292 | 0.9426          | 45.8861 |
+| 0.0614        | 5.0   | 1615 | 1.0252          | 40.0844 |
+| 0.0435        | 6.0   | 1938 | 1.0605          | 23.1540 |
+| 0.0235        | 7.0   | 2261 | 1.1076          | 29.8523 |
+| 0.02          | 8.0   | 2584 | 1.1745          | 47.3101 |
+| 0.0197        | 9.0   | 2907 | 1.1967          | 34.4937 |
+| 0.0094        | 10.0  | 3230 | 1.2394          | 28.4283 |
+| 0.0065        | 11.0  | 3553 | 1.2382          | 53.3755 |
+| 0.0024        | 12.0  | 3876 | 1.2605          | 37.8165 |
+| 0.0036        | 13.0  | 4199 | 1.2512          | 29.9051 |
+| 0.002         | 14.0  | 4522 | 1.2735          | 32.7004 |
+| 0.001         | 15.0  | 4845 | 1.2824          | 25.4747 |
+| 0.0005        | 16.0  | 5168 | 1.2930          | 24.8945 |
+| 0.0003        | 17.0  | 5491 | 1.2919          | 27.5844 |
+| 0.0004        | 18.0  | 5814 | 1.3033          | 25.1055 |
+| 0.0002        | 19.0  | 6137 | 1.2996          | 27.6371 |
+| 0.0002        | 20.0  | 6460 | 1.3026          | 27.9008 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aac5c3bcea8615f5eebd6849b642160f0838994f67b08f2dc5db8eb3cc3dfe79
+oid sha256:dccb1b685d641e118f39c51245f5cb074096d20596c6ec71b8dafc70f884f90b
 size 151061672