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
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Model tree for chihun-jang/mainCut-2024-01-03
Base model
klue/roberta-small