update model card README.md

README.md

@@ -7,24 +7,9 @@ tags:
 - generated_from_trainer
 datasets:
 - google/fleurs
-metrics:
-- wer
 model-index:
 - name: Whisper Medium El - Greek One
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Google FLEURS
-      type: google/fleurs
-      config: el_gr
-      split: test
-      args: el_gr
-    metrics:
-    - name: Wer
-      type: wer
-      value: 15.584586962259174
+  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 Medium El - Greek One
 
 This model is a fine-tuned version of [openai/medium-medium](https://huggingface.co/openai/medium-medium) on the Google FLEURS dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2864
-- Wer: 15.5846
 
 ## Model description
 
@@ -66,14 +48,6 @@ The following hyperparameters were used during training:
 - training_steps: 2000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0006        | 12.02 | 1000 | 0.2718          | 15.4394 |
-| 0.0003        | 24.04 | 2000 | 0.2864          | 15.5846 |
-
-
 ### Framework versions
 
 - Transformers 4.26.0.dev0