update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: claim-classifier
+  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. -->
+
+# claim-classifier
+
+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: 0.3432
+- Accuracy: 0.8889
+
+## 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-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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.048         | 1.0   | 562  | 0.3966          | 0.8669   |
+| 0.3896        | 2.0   | 1124 | 0.4440          | 0.8669   |
+| 0.4783        | 3.0   | 1686 | 0.3893          | 0.8699   |
+| 0.4792        | 4.0   | 2248 | 0.4019          | 0.8689   |
+| 1.2405        | 5.0   | 2810 | 0.3883          | 0.8729   |
+| 0.0996        | 6.0   | 3372 | 0.3673          | 0.8669   |
+| 0.4833        | 7.0   | 3934 | 0.3873          | 0.8759   |
+| 0.2461        | 8.0   | 4496 | 0.3646          | 0.8659   |
+| 0.0977        | 9.0   | 5058 | 0.3432          | 0.8889   |
+| 0.0682        | 10.0  | 5620 | 0.3458          | 0.8919   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 1.8.1
+- Datasets 2.13.2
+- Tokenizers 0.13.3