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t5-small-trainings
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2580
- Rouge1: 41.5251
- Rouge2: 19.8842
- Rougel: 36.4895
- Rougelsum: 37.2565
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.1338 | 1.0 | 51 | 2.5825 | 35.4169 | 15.379 | 30.8859 | 31.524 |
| 2.5905 | 2.0 | 102 | 2.3975 | 38.4266 | 17.2571 | 33.5912 | 34.312 |
| 2.3881 | 3.0 | 153 | 2.3329 | 39.8082 | 19.1925 | 34.8269 | 35.5295 |
| 2.3167 | 4.0 | 204 | 2.2938 | 41.3488 | 20.1513 | 35.6879 | 36.5864 |
| 2.2357 | 5.0 | 255 | 2.2727 | 41.2457 | 19.5358 | 36.0033 | 36.8405 |
| 2.232 | 6.0 | 306 | 2.2645 | 41.2746 | 20.0345 | 35.9226 | 36.7001 |
| 2.1986 | 7.0 | 357 | 2.2595 | 41.7542 | 19.9428 | 36.6819 | 37.4718 |
| 2.1457 | 8.0 | 408 | 2.2580 | 41.5251 | 19.8842 | 36.4895 | 37.2565 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
