longt5_xl_sfd_bp_40 / README.md
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: longt5_xl_sfd_bp_40
    results: []

longt5_xl_sfd_bp_40

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3318

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
0.1033 0.97 14 3.1040
0.0836 1.95 28 3.0540
0.0717 2.99 43 2.9414
0.0614 3.97 57 3.0238
0.1275 4.94 71 2.8326
0.0511 5.98 86 3.0479
0.0666 6.96 100 3.1255
0.0398 8.0 115 3.2240
0.0396 8.97 129 3.1667
0.0466 9.95 143 3.2775
0.043 10.99 158 3.3289
0.0538 11.97 172 2.8202
0.028 12.94 186 3.4366
0.1056 13.98 201 3.3447
0.0303 14.96 215 3.0069
0.0234 16.0 230 3.3524
0.0263 16.97 244 3.2473
0.0225 17.95 258 3.3365
0.0225 18.99 273 3.4389
0.0211 19.48 280 3.3318

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0