t5-small-train
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2367
- Rouge1: 43.9525
- Rouge2: 22.3403
- Rougel: 38.7683
- Rougelsum: 39.2056
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: 4.6e-05
- train_batch_size: 9
- eval_batch_size: 9
- 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 |
|---|---|---|---|---|---|---|---|
| 3.3237 | 1.0 | 40 | 2.6713 | 34.4731 | 14.9731 | 29.4814 | 29.9747 |
| 2.7401 | 2.0 | 80 | 2.4318 | 38.1153 | 18.3492 | 33.4476 | 33.9181 |
| 2.5882 | 3.0 | 120 | 2.3339 | 41.2707 | 19.8571 | 36.2685 | 36.6119 |
| 2.4264 | 4.0 | 160 | 2.2878 | 42.184 | 20.9666 | 37.3488 | 37.6172 |
| 2.3915 | 5.0 | 200 | 2.2605 | 43.4928 | 21.7195 | 38.4917 | 38.8471 |
| 2.3599 | 6.0 | 240 | 2.2462 | 44.2876 | 22.28 | 38.9234 | 39.3673 |
| 2.3073 | 7.0 | 280 | 2.2398 | 43.9822 | 22.3746 | 38.7625 | 39.0964 |
| 2.3026 | 8.0 | 320 | 2.2367 | 43.9525 | 22.3403 | 38.7683 | 39.2056 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1