Hello World

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [deepdml/whisper-large-v3-turbo](https://huggingface.co/deepdml/whisper-large-v3-turbo) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5479
-- Wer: 10.0
+- Loss: 1.4598
+- Wer: 20.0
 
 ## Model description
 
@@ -45,15 +45,14 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 1
-- training_steps: 5
+- training_steps: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer  |
 |:-------------:|:-----:|:----:|:---------------:|:----:|
-| 0.7947        | 2.0   | 2    | 1.4598          | 20.0 |
-| 0.5985        | 4.0   | 4    | 0.5479          | 10.0 |
+| 0.7947        | 1.0   | 1    | 1.4598          | 20.0 |
 
 
 ### Framework versions