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README.md
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This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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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:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1
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- Datasets 2.
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- Tokenizers 0.
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This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0290
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- Precision: 0.9626
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- Recall: 0.9588
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- F1: 0.9607
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- Accuracy: 0.9936
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## Model description
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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: 2
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- eval_batch_size: 2
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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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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.0682 | 1.0 | 1240 | 0.0561 | 0.9327 | 0.9392 | 0.9359 | 0.9898 |
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| 0.0359 | 2.0 | 2480 | 0.0408 | 0.9701 | 0.9539 | 0.9619 | 0.9939 |
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| 0.0157 | 3.0 | 3720 | 0.0290 | 0.9626 | 0.9588 | 0.9607 | 0.9936 |
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### Framework versions
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- Transformers 4.31.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.2.dev0
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- Tokenizers 0.13.3
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