./Hugging-face-models/whisper-medium-LoRA

README.md

@@ -17,8 +17,8 @@ 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: 0.1933
-- Wer: 9.1046
+- Loss: 0.3284
+- Wer: 12.2024
 
 ## Model description
 
@@ -43,13 +43,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 6
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.308         | 1.0   | 1385 | 0.1933          | 9.1046 |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.6785        | 1.0   | 789  | 0.4078          | 18.0952 |
+| 0.3283        | 2.0   | 1578 | 0.3660          | 19.9802 |
+| 0.2298        | 3.0   | 2367 | 0.3391          | 14.2063 |
+| 0.1458        | 4.0   | 3156 | 0.3307          | 13.7302 |
+| 0.0688        | 5.0   | 3945 | 0.3211          | 12.5    |
+| 0.0222        | 6.0   | 4734 | 0.3284          | 12.2024 |
 
 
 ### Framework versions