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update model card README.md

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+ ---
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+ base_model: cardiffnlp/twitter-roberta-base-sentiment
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: test_trainer
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # test_trainer
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+
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+ This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6861
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+ - Accuracy: 0.714
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.8144 | 0.5 | 500 | 0.7865 | 0.7165 |
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+ | 0.7546 | 1.0 | 1000 | 0.7388 | 0.7045 |
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+ | 0.7549 | 1.5 | 1500 | 0.7202 | 0.715 |
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+ | 0.7124 | 2.0 | 2000 | 0.6834 | 0.7145 |
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+ | 0.689 | 2.5 | 2500 | 0.7048 | 0.712 |
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+ | 0.6924 | 3.0 | 3000 | 0.6861 | 0.714 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3