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roberta-base-klue-ynat-classification
yongkwon/roberta-base-klue-ynat-classification
roberta-base-klue-ynat-classification is a machine learning model from yongkwon. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- roberta
- Access
- Public
- Created
- Nov 6, 2024
- Updated
- Nov 6, 2024
- SHA
- 109bdde7
Base models
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. -->
roberta-base-klue-ynat-classification
This model is a fine-tuned version of klue/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1490
- 정확도: 0.82
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | 정확도 |
|---|---|---|---|---|
| No log | 1.0 | 125 | 0.9073 | 0.82 |
| No log | 2.0 | 250 | 0.9611 | 0.82 |
| No log | 3.0 | 375 | 0.9956 | 0.83 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.5.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- roberta
- Created
- Nov 6, 2024
- Updated
- Nov 6, 2024