longt5_xl_govreport_4096_memsum_e40
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2660
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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0471 | 1.0 | 68 | 3.0440 |
| 0.0441 | 1.99 | 136 | 3.1307 |
| 0.0442 | 2.99 | 204 | 3.0580 |
| 0.0441 | 3.99 | 272 | 3.0966 |
| 0.0411 | 5.0 | 341 | 3.1067 |
| 0.0362 | 6.0 | 409 | 3.2206 |
| 0.0411 | 6.99 | 477 | 3.1567 |
| 0.0393 | 7.99 | 545 | 3.2550 |
| 0.0384 | 8.99 | 613 | 3.2910 |
| 0.0349 | 9.97 | 680 | 3.2660 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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