update model card README.md

README.md

@@ -7,24 +7,9 @@ tags:
 - generated_from_trainer
 datasets:
 - Bingsu/zeroth-korean
-metrics:
-- wer
 model-index:
 - name: Whisper Tiny Ko - TJ
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Zeroth-Korean
-      type: Bingsu/zeroth-korean
-      config: null
-      split: None
-      args: 'config:ko, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 36.289715404306584
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +18,6 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Tiny Ko - TJ
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Zeroth-Korean dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3234
-- Wer: 36.2897
 
 ## Model description
 
@@ -61,18 +43,9 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 3000
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.6968        | 0.72  | 1000 | 0.4325          | 42.5237 |
-| 0.2949        | 1.44  | 2000 | 0.3495          | 38.9098 |
-| 0.2274        | 2.16  | 3000 | 0.3234          | 36.2897 |
-
-
 ### Framework versions
 
 - Transformers 4.27.0.dev0