update model card README.md

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-mc-1
+  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-mc-1
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6062
+- Accuracy: 0.6
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 24   | 1.6090          | 0.1      |
+| No log        | 2.0   | 48   | 1.6088          | 0.2      |
+| No log        | 3.0   | 72   | 1.6087          | 0.2      |
+| No log        | 4.0   | 96   | 1.6082          | 0.2      |
+| No log        | 5.0   | 120  | 1.6077          | 0.4      |
+| No log        | 6.0   | 144  | 1.6073          | 0.5      |
+| No log        | 7.0   | 168  | 1.6067          | 0.5      |
+| No log        | 8.0   | 192  | 1.6066          | 0.5      |
+| No log        | 9.0   | 216  | 1.6065          | 0.6      |
+| No log        | 10.0  | 240  | 1.6062          | 0.6      |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3