longt5_xl_sfd_40 / README.md
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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