End of training

README.md

@@ -6,8 +6,6 @@ license: mit
 base_model: openai/whisper-large-v3-turbo
 tags:
 - generated_from_trainer
-metrics:
-- wer
 model-index:
 - name: Whisper Small ko
   results: []
@@ -19,9 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small ko
 
 This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the custom dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.6056
-- Wer: 52.7174
 
 ## Model description
 
@@ -47,18 +42,11 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.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: 500
-- training_steps: 500
+- training_steps: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0           | 50.0  | 100  | 0.9917          | 36.4130 |
-| 0.0           | 100.0 | 200  | 1.1163          | 39.6739 |
-| 0.0           | 150.0 | 300  | 1.2701          | 47.2826 |
-| 0.0           | 200.0 | 400  | 1.4354          | 50.0    |
-| 0.0           | 250.0 | 500  | 1.6056          | 52.7174 |
 
 
 ### Framework versions