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+ ---
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+ base_model: klue/roberta-large
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - klue
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+ model-index:
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+ - name: sts_klue_roberta_large_ep1
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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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+ # sts_klue_roberta_large_ep1
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+
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+ This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the klue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4218
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+ - Mse: 0.4218
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+ - Mae: 0.4837
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+ - R2: 0.8068
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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: 64
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+ - eval_batch_size: 64
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
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+ | 0.6739 | 1.0 | 183 | 0.4218 | 0.4218 | 0.4837 | 0.8068 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.1
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.13.0
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+ - Tokenizers 0.13.3