Downloads · 30 days
10
3% of all-time downloads
mainCut-2024-01-03
chihun-jang/mainCut-2024-01-03
mainCut-2024-01-03 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. --
All-time downloads
373
Public
Repo size
545 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin272 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jan 4, 2024
- Updated
- Jan 4, 2024
- SHA
- 31031de2
Try a prompt
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. -->
mainCut-2024-01-03
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: 0.6002
- Accuracy: 0.8212
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 |
|---|---|---|---|---|
| 0.6427 | 1.0 | 25000 | 0.6142 | 0.8145 |
| 0.5953 | 2.0 | 50000 | 0.5904 | 0.8188 |
| 0.512 | 3.0 | 75000 | 0.6002 | 0.8212 |
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
- Jan 4, 2024
- Updated
- Jan 4, 2024