Update README.md

README.md

@@ -36,47 +36,7 @@ It achieves the following results on the evaluation set:
 - Loss: 0.3121
 - Wer: 14.5174
 
-## 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: 1
-- training_steps: 2000
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.2582        | 0.1   | 200  | 0.2807          | 15.3153 |
-| 0.0882        | 1.07  | 400  | 0.2688          | 14.0541 |
-| 0.0293        | 2.05  | 600  | 0.2696          | 13.5907 |
-| 0.0152        | 3.02  | 800  | 0.2752          | 13.8739 |
-| 0.0106        | 3.12  | 1000 | 0.2862          | 13.9511 |
-| 0.0046        | 4.1   | 1200 | 0.2895          | 13.5907 |
-| 0.0023        | 5.08  | 1400 | 0.3044          | 14.3372 |
-| 0.0023        | 6.05  | 1600 | 0.3060          | 14.1828 |
-| 0.0016        | 7.03  | 1800 | 0.3100          | 14.3887 |
-| 0.0015        | 7.12  | 2000 | 0.3121          | 14.5174 |
 
 
 ### Framework versions