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vit5-base-vietnews-summarization-standardized-color
This model is a fine-tuned version of VietAI/vit5-base-vietnews-summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7799
- Rouge1: 74.6848
- Rouge2: 68.6336
- Rougel: 74.2192
- Rougelsum: 74.2071
- Gen Len: 7.0508
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 118 | 0.8194 | 69.6407 | 62.7891 | 69.2092 | 69.1422 | 8.786 |
| No log | 2.0 | 236 | 0.7301 | 72.6263 | 66.2139 | 72.2455 | 72.2856 | 7.1843 |
| No log | 3.0 | 354 | 0.7114 | 74.5668 | 68.1982 | 74.1184 | 74.1947 | 6.9979 |
| No log | 4.0 | 472 | 0.7141 | 74.484 | 68.3547 | 74.0625 | 74.0382 | 7.0636 |
| 0.7045 | 5.0 | 590 | 0.7091 | 74.661 | 68.4421 | 74.1176 | 74.1212 | 7.1398 |
| 0.7045 | 6.0 | 708 | 0.7452 | 75.1264 | 69.0871 | 74.5996 | 74.6391 | 7.4703 |
| 0.7045 | 7.0 | 826 | 0.7496 | 74.2754 | 68.0974 | 73.8278 | 73.8781 | 7.0424 |
| 0.7045 | 8.0 | 944 | 0.7693 | 74.1263 | 67.888 | 73.7264 | 73.7286 | 7.1314 |
| 0.2955 | 9.0 | 1062 | 0.7831 | 74.4148 | 68.2719 | 73.9605 | 73.9679 | 7.178 |
| 0.2955 | 10.0 | 1180 | 0.7799 | 74.6848 | 68.6336 | 74.2192 | 74.2071 | 7.0508 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
