metadata
library_name: transformers
license: cc-by-4.0
base_model: paust/pko-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization_model
results: []
summarization_model
This model is a fine-tuned version of paust/pko-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6012
- Rouge1: 0.0661
- Rouge2: 0.0169
- Rougel: 0.0660
- Rougelsum: 0.0660
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: 8
- eval_batch_size: 8
- 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: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1