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: 0.9947
- Rouge1: 53.8834
- Rouge2: 35.147
- Rougel: 50.8217
- Rougelsum: 50.9105
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: 5.6e-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 |
|---|---|---|---|---|---|---|---|
| 2.0129 | 1.0 | 1531 | 1.5160 | 44.1037 | 21.8536 | 40.2425 | 40.3433 |
| 1.6207 | 2.0 | 3062 | 1.2865 | 46.6327 | 25.2538 | 43.0594 | 43.1583 |
| 1.4243 | 3.0 | 4593 | 1.2410 | 48.3304 | 27.729 | 45.0085 | 45.0977 |
| 1.2828 | 4.0 | 6124 | 1.1008 | 50.7514 | 30.7978 | 47.5413 | 47.6432 |
| 1.1796 | 5.0 | 7655 | 1.0646 | 52.4672 | 33.0679 | 49.2593 | 49.3381 |
| 1.1059 | 6.0 | 9186 | 1.0082 | 53.4044 | 34.4035 | 50.3925 | 50.4943 |
| 1.0596 | 7.0 | 10717 | 0.9947 | 53.8834 | 35.147 | 50.8217 | 50.9105 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3