update model card README.md

README.md

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+---
+license: mit
+base_model: irfanamal/roberta_multiple_choice
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta_science_multiple_choice
+  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_science_multiple_choice
+
+This model is a fine-tuned version of [irfanamal/roberta_multiple_choice](https://huggingface.co/irfanamal/roberta_multiple_choice) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2964
+- Accuracy: 0.45
+
+## 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: 5e-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: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.4801        | 1.0   | 12   | 1.2458          | 0.45     |
+| 1.3302        | 2.0   | 24   | 1.2561          | 0.5      |
+| 1.3308        | 3.0   | 36   | 1.2642          | 0.45     |
+| 1.2018        | 4.0   | 48   | 1.2782          | 0.45     |
+| 1.1393        | 5.0   | 60   | 1.2783          | 0.45     |
+| 1.054         | 6.0   | 72   | 1.2964          | 0.45     |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3