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README.md ADDED
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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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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: nli_roberta-large_lr1e-05_wd1e-03_ep3_ckpt
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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: klue
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+ type: klue
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+ config: nli
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+ split: validation
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+ args: nli
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9026666666666666
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+ - name: F1
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+ type: f1
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+ value: 0.9025716877431428
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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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+ # nli_roberta-large_lr1e-05_wd1e-03_ep3_ckpt
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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: 0.3425
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+ - Accuracy: 0.9027
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+ - F1: 0.9026
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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: 1e-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: 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 | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.5725 | 1.0 | 391 | 0.3381 | 0.8813 | 0.8811 |
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+ | 0.2182 | 2.0 | 782 | 0.3055 | 0.898 | 0.8979 |
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+ | 0.112 | 3.0 | 1173 | 0.3425 | 0.9027 | 0.9026 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.2
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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
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