Update README.md

README.md

@@ -13,8 +13,6 @@ language:
 pipeline_tag: automatic-speech-recognition
 ---
 
-<!-- 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-tiny-bn
 
@@ -23,45 +21,6 @@ It achieves the following results on the evaluation set:
 - Loss: 0.4041
 - Wer: 74.0213
 
-## 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-05
-- 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: 4000
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer      |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.5443        | 4.67  | 500  | 1.0344          | 180.0125 |
-| 0.3201        | 9.35  | 1000 | 0.2322          | 121.4866 |
-| 0.0545        | 14.02 | 1500 | 0.2617          | 128.8570 |
-| 0.0116        | 18.69 | 2000 | 0.3251          | 95.9400  |
-| 0.0031        | 23.36 | 2500 | 0.3768          | 101.7489 |
-| 0.0007        | 28.04 | 3000 | 0.3905          | 98.5634  |
-| 0.0004        | 32.71 | 3500 | 0.4006          | 101.1868 |
-| 0.0003        | 37.38 | 4000 | 0.4041          | 100.9994 |
-
 
 ### Framework versions