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klue_roberta_base_retrained-finetuned-mnli
againeureka/klue_roberta_base_retrained-finetuned-mnli
klue_roberta_base_retrained-finetuned-mnli is a text classification model from againeureka. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Dec 12, 2023
- Updated
- Dec 14, 2023
- SHA
- 6c78b429
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
klue_roberta_base_retrained-finetuned-mnli
This model is a fine-tuned version of againeureka/klue_roberta_base_retrained-finetuned-mnli on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3463
- eval_accuracy: {'accuracy': 0.9350419796730004}
- eval_f1: {'f1': 0.9056567703321187}
- eval_runtime: 4.236
- eval_samples_per_second: 534.232
- eval_steps_per_second: 33.522
- step: 0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Dec 12, 2023
- Updated
- Dec 14, 2023