End of training

README.md

@@ -19,6 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper large-v2 Korean - ML_project_custom_data_1epoch_with500
 
 This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the customd_ataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6012
+- Cer: 81.9576
 
 ## Model description
 
@@ -51,7 +54,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Cer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| No log        | 1.0   | 113  | 0.5946          | 96.4938 |
+| 0.3222        | 1.0   | 113  | 0.6012          | 81.9576 |
 
 
 ### Framework versions