update model card README.md

README.md

@@ -15,13 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # BERT_Mod_7_Squad
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad_v2 dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 1.1605
-- eval_runtime: 71.6663
-- eval_samples_per_second: 169.312
-- eval_steps_per_second: 10.591
-- epoch: 2.0
-- step: 16470
 
 ## Model description
 
@@ -40,9 +33,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.002
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 0.001
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -50,7 +43,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.20.1
-- Pytorch 1.12.0
+- Transformers 4.21.1
+- Pytorch 1.12.1
 - Datasets 1.17.0
 - Tokenizers 0.12.1