update model card README.md

README.md

@@ -7,24 +7,9 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
-metrics:
-- wer
 model-index:
 - name: Whisper Small Japanese - Kimbo Chen
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 11.0
-      type: mozilla-foundation/common_voice_11_0
-      config: ja
-      split: test
-      args: ja
-    metrics:
-    - name: Wer
-      type: wer
-      value: 88.31039863810469
+  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 Small Japanese - Kimbo Chen
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5878
-- Wer: 88.3104
 
 ## Model description
 
@@ -60,19 +42,10 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 1000
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0066        | 9.02  | 1000 | 0.4680          | 90.5377 |
-| 0.003         | 19.01 | 2000 | 0.5128          | 89.3602 |
-| 0.0006        | 29.01 | 3000 | 0.5657          | 88.7218 |
-| 0.0003        | 39.0  | 4000 | 0.5878          | 88.3104 |
-
-
 ### Framework versions
 
 - Transformers 4.26.0.dev0