update model card README.md

README.md

@@ -13,12 +13,12 @@ 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:
-- eval_loss: 0.1632
-- eval_wer: 39.0511
-- eval_runtime: 307.7229
-- eval_samples_per_second: 0.325
-- eval_steps_per_second: 0.029
-- epoch: 3.02
+- eval_loss: 0.1630
+- eval_wer: 35.4015
+- eval_runtime: 151.2981
+- eval_samples_per_second: 0.661
+- eval_steps_per_second: 0.026
+- epoch: 4.03
 - step: 500
 
 ## Model description
@@ -39,20 +39,18 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 24
-- eval_batch_size: 12
+- train_batch_size: 64
+- eval_batch_size: 32
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 48
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 5000
+- training_steps: 3000
 - mixed_precision_training: Native AMP
 
 ### Framework versions
 
 - Transformers 4.26.0.dev0
-- Pytorch 1.11.0
+- Pytorch 1.13.0+cu117
 - Datasets 2.7.1.dev0
-- Tokenizers 0.12.1
+- Tokenizers 0.13.2