Update README.md

README.md

@@ -11,7 +11,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper large tr - Sanchit Gandhi
+- name: Whisper large tr
   results:
   - task:
       name: Automatic Speech Recognition
@@ -31,12 +31,7 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper large tr - Sanchit Gandhi
 
-This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the a dataset.
-It achieves the following results on the evaluation set:
-- Loss: 5.1507
-- Wer: 100.0
 
 ## Model description
 
@@ -52,23 +47,6 @@ More information needed
 
 ## Training procedure
 
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- training_steps: 5
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer   |
-|:-------------:|:-----:|:----:|:---------------:|:-----:|
-| 5.6231        | 1.0   | 2    | 5.4697          | 100.0 |
-| 5.3829        | 2.0   | 4    | 5.1507          | 100.0 |
 
 
 ### Framework versions