metadata
base_model: klue/roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
results: []
results
This model is a fine-tuned version of klue/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6256
- Accuracy: 0.856
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6176 | 1.0 | 1250 | 0.6833 | 0.814 |
| 0.3958 | 2.0 | 2500 | 0.6566 | 0.84 |
| 0.2513 | 3.0 | 3750 | 0.7118 | 0.848 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.5.1+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1