metadata
license: mit
base_model: hyunwoongko/kobart
tags:
- generated_from_trainer
model-index:
- name: qa_kor_hospital_2
results: []
qa_kor_hospital_2
This model is a fine-tuned version of hyunwoongko/kobart on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3320
- eval_runtime: 1.195
- eval_samples_per_second: 405.854
- eval_steps_per_second: 25.941
- epoch: 2.35
- step: 2300
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 3
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2