metadata
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: skt/kogpt2-base-v2
tags:
- generated_from_trainer
model-index:
- name: korquad_1_kogpt2-qa-model
results: []
korquad_1_kogpt2-qa-model
This model is a fine-tuned version of skt/kogpt2-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.2805
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 12 | 6.3510 |
| No log | 2.0 | 24 | 6.2870 |
| No log | 3.0 | 36 | 6.2805 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1