metadata
license: apache-2.0
base_model: google/long-t5-tglobal-xl
tags:
- generated_from_trainer
datasets:
- learn3r/gov_report_memsum_oracle
model-index:
- name: longt5_xl_govreport_4096_memsum_e10
results: []
longt5_xl_govreport_4096_memsum_e10
This model is a fine-tuned version of google/long-t5-tglobal-xl on the learn3r/gov_report_memsum_oracle dataset. It achieves the following results on the evaluation set:
- Loss: 1.2380
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 |
|---|---|---|---|
| 1.4775 | 1.0 | 68 | 1.2713 |
| 1.3081 | 1.99 | 136 | 1.2380 |
| 1.1811 | 2.99 | 204 | 1.2456 |
| 1.0752 | 3.99 | 272 | 1.2426 |
| 0.9663 | 5.0 | 341 | 1.2901 |
| 0.8607 | 6.0 | 409 | 1.3396 |
| 0.7462 | 6.99 | 477 | 1.3747 |
| 0.7084 | 7.99 | 545 | 1.4659 |
| 0.6155 | 8.99 | 613 | 1.5037 |
| 0.5435 | 9.97 | 680 | 1.5582 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3