causal_classifier_base
This model is a fine-tuned version of klue/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3408
- Accuracy: 0.8755
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: 2e-05
- train_batch_size: 84
- eval_batch_size: 84
- 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 | Accuracy |
|---|---|---|---|---|
| 0.6427 | 1.0 | 677 | 0.4135 | 0.8365 |
| 0.4586 | 2.0 | 1354 | 0.3623 | 0.8609 |
| 0.3243 | 3.0 | 2031 | 0.3408 | 0.8755 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for againeureka/causal_classifier_base
Base model
klue/roberta-base