Update README.md

README.md

@@ -30,59 +30,6 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Medium En
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Radio dataset dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6118
-- Wer: 30.9719
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 1e-06
-- train_batch_size: 16
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- training_steps: 1600
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 3.6505        | 0.75  | 100  | 3.5819          | 58.0618 |
-| 2.7405        | 1.5   | 200  | 2.5030          | 47.7471 |
-| 1.6934        | 2.26  | 300  | 1.6058          | 36.4342 |
-| 0.8876        | 3.01  | 400  | 0.7653          | 39.4843 |
-| 0.6136        | 3.76  | 500  | 0.6374          | 35.2281 |
-| 0.4993        | 4.51  | 600  | 0.5950          | 34.9785 |
-| 0.3364        | 5.26  | 700  | 0.5776          | 28.6150 |
-| 0.4268        | 6.02  | 800  | 0.5640          | 29.7241 |
-| 0.3367        | 6.77  | 900  | 0.5706          | 29.8489 |
-| 0.2706        | 7.52  | 1000 | 0.5757          | 28.0189 |
-| 0.2932        | 8.27  | 1100 | 0.5789          | 28.3377 |
-| 0.2699        | 9.02  | 1200 | 0.5869          | 29.9875 |
-| 0.2434        | 9.77  | 1300 | 0.5976          | 30.1816 |
-| 0.267         | 10.53 | 1400 | 0.6020          | 30.5559 |
-| 0.2364        | 11.28 | 1500 | 0.6106          | 30.6391 |
-| 0.2095        | 12.03 | 1600 | 0.6118          | 30.9719 |
-
 
 ### Framework versions