metadata
tags:
- generated_from_trainer
datasets:
- scrolls
model-index:
- name: longt5_xl_sfd_40
results: []
longt5_xl_sfd_40
This model was trained from scratch on the scrolls dataset. It achieves the following results on the evaluation set:
- Loss: 5.3992
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: 20.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.0878 | 0.97 | 14 | 4.5418 |
0.1058 | 1.95 | 28 | 4.8817 |
0.0493 | 2.99 | 43 | 5.1348 |
0.1315 | 3.97 | 57 | 5.5055 |
0.0384 | 4.94 | 71 | 5.3415 |
0.041 | 5.98 | 86 | 5.1510 |
0.0439 | 6.96 | 100 | 5.1317 |
0.0423 | 8.0 | 115 | 4.8478 |
0.0421 | 8.97 | 129 | 5.3170 |
0.0407 | 9.95 | 143 | 5.0650 |
0.0391 | 10.99 | 158 | 5.6211 |
0.0395 | 11.97 | 172 | 5.3323 |
0.0412 | 12.94 | 186 | 5.4325 |
0.0632 | 13.98 | 201 | 5.3180 |
0.0421 | 14.96 | 215 | 5.1413 |
0.0381 | 16.0 | 230 | 5.5675 |
0.0422 | 16.97 | 244 | 5.5748 |
0.0901 | 17.95 | 258 | 4.2179 |
0.0364 | 18.99 | 273 | 5.6566 |
0.0311 | 19.48 | 280 | 5.3992 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2