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t5-base-news_headlines
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8974
- Rouge1: 57.2262
- Rouge2: 42.0378
- Rougel: 56.5748
- Rougelsum: 56.5201
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: 5e-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
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.977 | 1.0 | 1531 | 1.3885 | 41.7045 | 23.3673 | 40.7292 | 40.6837 |
| 1.4827 | 2.0 | 3062 | 1.2265 | 46.2602 | 27.7036 | 45.3412 | 45.3728 |
| 1.2617 | 3.0 | 4593 | 1.0713 | 49.6738 | 32.0177 | 48.9186 | 48.9156 |
| 1.1168 | 4.0 | 6124 | 0.9923 | 52.3824 | 35.7493 | 51.7434 | 51.706 |
| 1.0041 | 5.0 | 7655 | 0.9439 | 55.6842 | 40.0864 | 54.9503 | 55.0016 |
| 0.9305 | 6.0 | 9186 | 0.9085 | 56.5987 | 41.4443 | 55.9192 | 55.9222 |
| 0.8763 | 7.0 | 10717 | 0.8974 | 57.2262 | 42.0378 | 56.5748 | 56.5201 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
