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klue-roberta-base-text-classifier
seungmin-ha/klue-roberta-base-text-classifier
klue-roberta-base-text-classifier is a text classification model from seungmin-ha. 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
- Sep 23, 2024
- Updated
- Sep 23, 2024
- SHA
- ad90aff4
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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. -->
results
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: 2.3801
- Accuracy: 0.7989
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0253 | 1.0 | 1000 | 0.0001 | 1.0 |
| 0.0025 | 2.0 | 2000 | 0.0001 | 1.0 |
| 0.0 | 3.0 | 3000 | 0.0000 | 1.0 |
| 0.0 | 4.0 | 4000 | 0.0000 | 1.0 |
| 0.0 | 5.0 | 5000 | 0.0000 | 1.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Sep 23, 2024
- Updated
- Sep 23, 2024