metadata
library_name: transformers
license: mit
base_model: klue/roberta-base
tags:
- absa
- aspect-based-sentiment-analysis
- sentiment-analysis
- korean
- roberta
- transformers
- pytorch
- generated_from_trainer
model-index:
- name: klue-roberta-base-absa
results: []
klue-roberta-base-absa
This model is a fine-tuned version of klue/roberta-base on an unknown dataset.
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1