update model card README.md

README.md

@@ -3,7 +3,7 @@ license: cc-by-4.0
 tags:
 - generated_from_trainer
 datasets:
-- squad
+- squad_v2
 model-index:
 - name: tinyroberta-squad2-finetuned-squad
   results: []
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tinyroberta-squad2-finetuned-squad
 
-This model is a fine-tuned version of [deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2) on the squad dataset.
+This model is a fine-tuned version of [deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2) on the squad_v2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8429
+- Loss: 1.1592
 
 ## Model description
 
@@ -36,8 +36,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- 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
@@ -45,15 +45,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 2.0827        | 1.0   | 2767 | 1.9840          |
-| 1.797         | 2.0   | 5534 | 1.8429          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.6185        | 1.0   | 8239  | 0.9460          |
+| 0.4243        | 2.0   | 16478 | 1.1592          |
 
 
 ### Framework versions
 
-- Transformers 4.19.4
+- Transformers 4.20.0
 - Pytorch 1.11.0+cu113
 - Datasets 2.3.2
 - Tokenizers 0.12.1