update model card README.md

README.md

@@ -3,7 +3,7 @@ license: mit
 tags:
 - generated_from_trainer
 datasets:
-- squad
+- quoref
 model-index:
 - name: roberta-base_mod
   results: []
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-base_mod
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the squad dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the quoref dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9989
+- Loss: 1.5400
 
 ## Model description
 
@@ -36,8 +36,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -45,16 +45,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 0.9408        | 1.0   | 10950 | 0.9173          |
-| 0.7026        | 2.0   | 21900 | 0.9057          |
-| 0.4868        | 3.0   | 32850 | 0.9989          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6272        | 1.0   | 1213 | 1.4654          |
+| 1.0583        | 2.0   | 2426 | 1.4134          |
+| 0.6854        | 3.0   | 3639 | 1.5400          |
 
 
 ### Framework versions
 
-- Transformers 4.27.4
+- Transformers 4.29.2
 - Pytorch 2.0.0+cu118
 - Datasets 2.11.0
 - Tokenizers 0.13.3