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subCut-2023-1129
chihun-jang/subCut-2023-1129
subCut-2023-1129 is a text classification model from chihun-jang. 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 8, 2023
- Updated
- Dec 8, 2023
- SHA
- 7b038462
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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. -->
subCut-2023-1129
This model is a fine-tuned version of klue/roberta-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9784
- Accuracy: 0.4293
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1672 | 1.0 | 15000 | 2.1644 | 0.3806 |
| 1.9714 | 2.0 | 30000 | 2.0339 | 0.4136 |
| 1.8502 | 3.0 | 45000 | 1.9784 | 0.4293 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Dec 8, 2023
- Updated
- Dec 8, 2023