causal_classifier
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: 0.6275
- Accuracy: 0.7493
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: 100
- eval_batch_size: 100
- 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 |
|---|---|---|---|---|
| 0.3964 | 1.0 | 5502 | 0.6775 | 0.7360 |
| 0.3361 | 2.0 | 11004 | 0.6275 | 0.7493 |
| 0.287 | 3.0 | 16506 | 0.6698 | 0.7445 |
| 0.2451 | 4.0 | 22008 | 0.7126 | 0.7481 |
| 0.2101 | 5.0 | 27510 | 0.8256 | 0.7417 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 104
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for againeureka/causal_classifier
Base model
klue/roberta-base