causal_classifier_large
This model is a fine-tuned version of klue/roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0244
- Accuracy: 0.6537
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: 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 |
|---|---|---|---|---|
| 1.1189 | 1.0 | 1251 | 1.1015 | 0.3335 |
| 0.8798 | 2.0 | 2502 | 1.0573 | 0.5392 |
| 0.6903 | 3.0 | 3753 | 0.9387 | 0.6348 |
| 0.529 | 4.0 | 5004 | 0.9379 | 0.6513 |
| 0.4211 | 5.0 | 6255 | 1.0244 | 0.6537 |
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_large
Base model
klue/roberta-large