longt5_xl_govreport_4096
This model is a fine-tuned version of google/long-t5-tglobal-xl on the tau/scrolls gov_report dataset. It achieves the following results on the evaluation set:
- Loss: 1.3889
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 |
|---|---|---|---|
| 1.6043 | 1.0 | 68 | 1.4757 |
| 1.4471 | 1.99 | 136 | 1.4020 |
| 1.315 | 2.99 | 204 | 1.3935 |
| 1.2098 | 3.99 | 272 | 1.3889 |
| 1.0888 | 4.99 | 340 | 1.4389 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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