vit5-base-vietnews-summarization-sport
This model is a fine-tuned version of VietAI/vit5-base-vietnews-summarization on an toanduc/vietnamese-sport-newspapers-summarization dataset. It achieves the following results on the evaluation set:
- Loss: 1.7541
- Rouge1: 24.4342
- Rouge2: 12.2779
- Rougel: 18.7382
- Rougelsum: 21.4735
- Gen Len: 19.0
Model description
Summary model for Vietnamese sports articles under the transfer tag
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.7931 | 1.0 | 2897 | 1.6246 | 25.1902 | 11.9842 | 18.7125 | 21.8765 | 19.0 |
| 1.5869 | 2.0 | 5794 | 1.5557 | 24.8104 | 12.918 | 19.1867 | 21.9091 | 19.0 |
| 1.4568 | 3.0 | 8691 | 1.5264 | 24.3498 | 12.6452 | 18.7426 | 21.4748 | 19.0 |
| 1.3375 | 4.0 | 11588 | 1.5259 | 24.3584 | 12.2843 | 18.7177 | 21.4296 | 19.0 |
| 1.2417 | 5.0 | 14485 | 1.5299 | 24.3633 | 11.9901 | 18.5573 | 21.4541 | 19.0 |
| 1.1705 | 6.0 | 17382 | 1.5533 | 24.4314 | 12.3337 | 18.7517 | 21.5669 | 19.0 |
| 1.0965 | 7.0 | 20279 | 1.5716 | 24.7562 | 12.4883 | 18.8926 | 21.7281 | 19.0 |
| 1.0479 | 8.0 | 23176 | 1.5918 | 24.3464 | 12.4018 | 18.6725 | 21.3891 | 19.0 |
| 0.9993 | 9.0 | 26073 | 1.6116 | 24.6254 | 12.1213 | 18.7091 | 21.5747 | 19.0 |
| 0.9512 | 10.0 | 28970 | 1.6427 | 24.6133 | 12.4088 | 18.8244 | 21.6162 | 19.0 |
| 0.8903 | 11.0 | 31867 | 1.6595 | 24.4154 | 12.4455 | 18.721 | 21.4605 | 19.0 |
| 0.8463 | 12.0 | 34764 | 1.6953 | 24.6333 | 12.2631 | 18.8074 | 21.6077 | 19.0 |
| 0.8224 | 13.0 | 37661 | 1.7127 | 24.2227 | 12.141 | 18.5775 | 21.321 | 19.0 |
| 0.8003 | 14.0 | 40558 | 1.7348 | 24.3755 | 12.1357 | 18.6279 | 21.383 | 19.0 |
| 0.7771 | 15.0 | 43455 | 1.7455 | 24.4422 | 12.1864 | 18.7155 | 21.4499 | 19.0 |
| 0.7666 | 16.0 | 46352 | 1.7541 | 24.4342 | 12.2779 | 18.7382 | 21.4735 | 19.0 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
VietAI/vit5-base-vietnews-summarization