longt5_xl_govreport_4096_e10
This model was trained from scratch on the scrolls 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 0.9926 | 1.0 | 68 | 1.4697 |
| 0.8597 | 1.99 | 136 | 1.5038 |
| 0.7409 | 2.99 | 204 | 1.5914 |
| 0.6591 | 3.99 | 272 | 1.7937 |
| 0.7626 | 4.99 | 340 | 1.6159 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
