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 Finetuned on Defined.AI Quebec Combined French Dataset w/ Normalization
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 11.0
-      type: mozilla-foundation/common_voice_11_0
-      config: fr
-      split: test
-      args: fr
-    metrics:
-    - name: Wer
-      type: wer
-      value: 31.573958327161993
+  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 Finetuned on Defined.AI Quebec Combined French Dataset w/ Normalization
 
 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: 0.7015
-- Wer: 31.5740
 
 ## Model description
 
@@ -63,14 +45,11 @@ 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: 1000
+- training_steps: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.8326        | 1.0   | 1000 | 0.7015          | 31.5740 |
 
 
 ### Framework versions