update model card README.md

README.md

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+---
+license: cc-by-4.0
+tags:
+- generated_from_trainer
+datasets:
+- subjqa
+model-index:
+- name: qamodel2
+  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. -->
+
+# qamodel2
+
+This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the subjqa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7777
+
+## 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: 1e-06
+- 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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9544        | 1.0   | 81   | 2.0493          |
+| 1.7079        | 2.0   | 162  | 1.8907          |
+| 1.6135        | 3.0   | 243  | 1.8236          |
+| 1.5829        | 4.0   | 324  | 1.7984          |
+| 1.5381        | 5.0   | 405  | 1.7900          |
+| 1.515         | 6.0   | 486  | 1.7827          |
+| 1.5079        | 7.0   | 567  | 1.7827          |
+| 1.4952        | 8.0   | 648  | 1.7777          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2