update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- quoref
+model-index:
+- name: roberta-base_mod_quoref
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# roberta-base_mod_quoref
+
+This model is a fine-tuned version of [damapika/roberta-base_mod_squad](https://huggingface.co/damapika/roberta-base_mod_squad) on the quoref dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5566
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- 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
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1263        | 1.0   | 1213 | 1.2665          |
+| 0.7404        | 2.0   | 2426 | 1.3567          |
+| 0.5172        | 3.0   | 3639 | 1.5566          |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3