Model save

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
-metrics:
-- wer
 model-index:
 - name: ko
   results: []
@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # ko
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4784
-- Wer: 0.9889
 
 ## Model description
 
@@ -47,16 +42,6 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Wer    |
-|:-------------:|:------:|:----:|:---------------:|:------:|
-| 0.0002        | 52.63  | 1000 | 0.4055          | 1.0755 |
-| 0.0001        | 105.26 | 2000 | 0.4449          | 1.0222 |
-| 0.0001        | 157.89 | 3000 | 0.4692          | 0.9315 |
-| 0.0001        | 210.53 | 4000 | 0.4784          | 0.9889 |
-
-
 ### Framework versions
 
 - Transformers 4.36.0.dev0

model.safetensors

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training_args.bin

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