End of training

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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0317
-- Wer: 16.4220
+- Loss: 0.0318
+- Wer: 14.7300
 
 ## Model description
 
@@ -44,18 +44,19 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 1000
-- training_steps: 5000
+- training_steps: 6000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0595        | 0.4   | 1000 | 0.0904          | 42.5230 |
-| 0.0339        | 0.79  | 2000 | 0.0593          | 30.1319 |
-| 0.0171        | 1.19  | 3000 | 0.0441          | 23.5133 |
-| 0.0133        | 1.58  | 4000 | 0.0363          | 19.1092 |
-| 0.0096        | 1.98  | 5000 | 0.0317          | 16.4220 |
+| 0.0599        | 0.4   | 1000 | 0.0910          | 42.4981 |
+| 0.0341        | 0.79  | 2000 | 0.0584          | 30.0572 |
+| 0.0183        | 1.19  | 3000 | 0.0439          | 23.1650 |
+| 0.0147        | 1.58  | 4000 | 0.0363          | 18.7360 |
+| 0.0107        | 1.98  | 5000 | 0.0322          | 16.4220 |
+| 0.0032        | 2.37  | 6000 | 0.0318          | 14.7300 |
 
 
 ### Framework versions