longt5_xl_govreport_memsum_4096
This model is a fine-tuned version of google/long-t5-tglobal-xl on the learn3r/gov_report_memsum_bp dataset. It achieves the following results on the evaluation set:
- Loss: 0.9247
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 |
|---|---|---|---|
| 1.1429 | 1.0 | 68 | 1.0058 |
| 0.9866 | 1.99 | 136 | 0.9247 |
| 0.9376 | 2.99 | 204 | 0.9298 |
| 0.8714 | 3.99 | 272 | 0.9250 |
| 0.7959 | 5.0 | 341 | 0.9284 |
| 0.729 | 6.0 | 409 | 0.9532 |
| 0.6575 | 6.99 | 477 | 0.9622 |
| 0.6076 | 7.99 | 545 | 0.9937 |
| 0.5653 | 8.99 | 613 | 1.0211 |
| 0.487 | 9.97 | 680 | 1.0659 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
google/long-t5-tglobal-xl