update model card README.md

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the race dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6367
-- Accuracy: 0.2738
+- Loss: 0.6650
+- Accuracy: 0.308
 
 ## Model description
 
@@ -38,13 +38,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 0.0003
 - train_batch_size: 8
 - 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: 10
+- lr_scheduler_warmup_steps: 100
 - num_epochs: 3.0
 
 ### Training results