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
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for learn3r/longt5_xl_govreport_memsum_4096
Base model
google/long-t5-tglobal-xl