news_summary
This model is a fine-tuned version of paust/pko-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6527
- Rouge1: 70.6899
- Rouge2: 46.6513
- Rougel: 70.2192
- Rougelsum: 70.2198
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.9767 | 1.0 | 694 | 0.7406 | 68.7991 | 44.6095 | 68.2328 | 68.2022 |
| 0.7986 | 2.0 | 1388 | 0.6860 | 69.4903 | 45.5759 | 68.9732 | 68.9579 |
| 0.6901 | 3.0 | 2082 | 0.6652 | 70.2244 | 46.2359 | 69.7706 | 69.7221 |
| 0.6658 | 4.0 | 2776 | 0.6530 | 70.6414 | 46.4725 | 70.1 | 70.0898 |
| 0.6414 | 5.0 | 3470 | 0.6527 | 70.6899 | 46.6513 | 70.2192 | 70.2198 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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Base model
paust/pko-t5-small