longt5_xl_gov_memsum_40
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 15.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 0.0689 | 1.0 | 68 | 2.9102 |
| 0.0658 | 1.99 | 136 | 2.8207 |
| 0.0549 | 2.99 | 204 | 2.8665 |
| 0.0552 | 3.99 | 272 | 2.8846 |
| 0.0534 | 5.0 | 341 | 2.7891 |
| 0.0465 | 6.0 | 409 | 3.0601 |
| 0.0494 | 6.99 | 477 | 2.9361 |
| 0.0477 | 7.99 | 545 | 2.9819 |
| 0.0463 | 8.99 | 613 | 3.0402 |
| 0.0642 | 10.0 | 682 | 2.9308 |
| 0.0601 | 10.99 | 750 | 2.8829 |
| 0.0577 | 11.99 | 818 | 2.8970 |
| 0.0529 | 12.99 | 886 | 2.9596 |
| 0.051 | 14.0 | 955 | 2.9287 |
| 0.0514 | 14.95 | 1020 | 3.0292 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
