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-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.0715
-- Cer: 97.9036
+- Loss: 2.9956
+- Cer: 105.1745
 
 ## Model description
 
@@ -45,15 +45,15 @@ 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
-- lr_scheduler_warmup_steps: 200
-- training_steps: 200
+- lr_scheduler_warmup_steps: 400
+- training_steps: 400
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Cer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 3.1484        | 0.2649 | 200  | 3.0715          | 97.9036 |
+| Training Loss | Epoch  | Step | Validation Loss | Cer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 3.033         | 0.5298 | 400  | 2.9956          | 105.1745 |
 
 
 ### Framework versions