update model card README.md

README.md

@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2713
-- Wer: 0.3245
-- Cer: 0.0892
+- Loss: 0.2310
+- Wer: 0.3196
+- Cer: 0.0878
 
 ## Model description
 
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 1e-05
 - train_batch_size: 12
 - eval_batch_size: 8
 - seed: 42
@@ -45,17 +45,18 @@ The following hyperparameters were used during training:
 - 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_steps: 5000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 0.0865        | 0.18  | 1000 | 0.5156          | 0.3249 | 0.0892 |
-| 0.1075        | 0.36  | 2000 | 0.5144          | 0.3265 | 0.0899 |
-| 0.1973        | 0.53  | 3000 | 0.4405          | 0.3298 | 0.0905 |
-| 0.8348        | 0.71  | 4000 | 0.2713          | 0.3245 | 0.0892 |
+| 0.065         | 0.18  | 1000 | 0.5433          | 0.3259 | 0.0891 |
+| 0.0792        | 0.36  | 2000 | 0.5453          | 0.3269 | 0.0901 |
+| 0.1663        | 0.53  | 3000 | 0.4702          | 0.3299 | 0.0908 |
+| 0.7971        | 0.71  | 4000 | 0.2513          | 0.3244 | 0.0889 |
+| 0.7588        | 0.89  | 5000 | 0.2310          | 0.3196 | 0.0878 |
 
 
 ### Framework versions