vietnamese_t5_summary_model_falcon
This model is a fine-tuned version of Falconsai/text_summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.9637
- Rouge1: 5.3259
- Rouge2: 1.0432
- Rougel: 4.3589
- Rougelsum: 4.4312
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 3000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 5.5256 | 1.0 | 13 | 5.0138 | 5.1301 | 1.1104 | 4.3454 | 4.4618 |
| 5.3866 | 2.0 | 26 | 5.0124 | 5.2801 | 1.1592 | 4.4856 | 4.6096 |
| 5.5331 | 3.0 | 39 | 5.0101 | 5.2801 | 1.1592 | 4.4856 | 4.6096 |
| 5.3745 | 4.0 | 52 | 5.0061 | 5.2233 | 1.1592 | 4.4309 | 4.5483 |
| 5.5461 | 5.0 | 65 | 5.0023 | 4.9462 | 1.0051 | 4.1778 | 4.3127 |
| 5.326 | 6.0 | 78 | 4.9966 | 4.9914 | 1.0075 | 4.1731 | 4.309 |
| 5.5432 | 7.0 | 91 | 4.9909 | 5.1529 | 1.1614 | 4.2869 | 4.3977 |
| 5.4482 | 8.0 | 104 | 4.9828 | 5.0223 | 0.9709 | 4.1513 | 4.2346 |
| 5.4006 | 9.0 | 117 | 4.9732 | 5.2199 | 1.0146 | 4.291 | 4.3823 |
| 5.4558 | 10.0 | 130 | 4.9637 | 5.3259 | 1.0432 | 4.3589 | 4.4312 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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