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update model card README.md

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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - yelp_review_full
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: yelp_review_rating_reberta_base
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: yelp_review_full
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+ type: yelp_review_full
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+ config: yelp_review_full
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+ split: train
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+ args: yelp_review_full
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.67188
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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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+ # yelp_review_rating_reberta_base
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+
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+ This model was trained from scratch on the yelp_review_full dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8026
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+ - Accuracy: 0.6719
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: cosine
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:------:|:--------:|:---------------:|
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+ | 0.8355 | 1.0 | 40625 | 0.6449 | 0.8211 |
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+ | 0.7709 | 2.0 | 81250 | 0.6615 | 0.7877 |
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+ | 0.7141 | 3.0 | 121875 | 0.6712 | 0.7689 |
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+ | 0.6511 | 4.0 | 162500 | 0.6724 | 0.7845 |
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+ | 0.6229 | 5.0 | 203125 | 0.8026 | 0.6719 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.22.2
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+ - Pytorch 1.12.1+cu102
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+ - Datasets 2.5.2
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+ - Tokenizers 0.12.1