update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-base
+  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
+
+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: 0.1585
+- Accuracy: 0.9762
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2838        | 1.0   | 3492  | 0.2001          | 0.9628   |
+| 0.1463        | 2.0   | 6984  | 0.1663          | 0.9725   |
+| 0.0922        | 3.0   | 10476 | 0.1962          | 0.9728   |
+| 0.081         | 4.0   | 13968 | 0.1684          | 0.9725   |
+| 0.0487        | 5.0   | 17460 | 0.1585          | 0.9762   |
+| 0.0443        | 6.0   | 20952 | 0.1707          | 0.9762   |
+| 0.0216        | 7.0   | 24444 | 0.1984          | 0.9765   |
+| 0.0341        | 8.0   | 27936 | 0.1892          | 0.9751   |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3