metadata
library_name: transformers
base_model: klue/roberta-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: causal_classifier_small
results: []
causal_classifier_small
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: 0.7335
- Accuracy: 0.7015
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: 270
- eval_batch_size: 270
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4603 | 1.0 | 2038 | 0.7334 | 0.6838 |
| 0.4032 | 2.0 | 4076 | 0.7335 | 0.7015 |
| 0.3648 | 3.0 | 6114 | 0.7501 | 0.6834 |
| 0.3323 | 4.0 | 8152 | 0.7589 | 0.6995 |
| 0.3056 | 5.0 | 10190 | 0.8167 | 0.6979 |
| 0.2828 | 6.0 | 12228 | 0.8580 | 0.7007 |
| 0.2645 | 7.0 | 14266 | 0.8950 | 0.6935 |
| 0.2473 | 8.0 | 16304 | 0.9598 | 0.6866 |
| 0.2318 | 9.0 | 18342 | 1.0059 | 0.6866 |
| 0.2249 | 10.0 | 20380 | 1.0261 | 0.6858 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1