longt5_xl_sfd_20 / README.md
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metadata
license: apache-2.0
base_model: google/long-t5-tglobal-xl
tags:
  - generated_from_trainer
datasets:
  - tau/scrolls
model-index:
  - name: longt5_xl_sfd_20
    results: []

longt5_xl_sfd_20

This model is a fine-tuned version of google/long-t5-tglobal-xl on the tau/scrolls summ_screen_fd dataset. It achieves the following results on the evaluation set:

  • Loss: 4.8167

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
2.9377 0.97 14 2.7965
2.3247 1.95 28 2.2995
1.9943 2.99 43 2.3308
1.7056 3.97 57 2.3369
1.4471 4.94 71 2.5532
1.1932 5.98 86 2.6961
0.9199 6.96 100 2.6453
0.7571 8.0 115 3.0978
0.6287 8.97 129 3.1458
0.4939 9.95 143 3.5686
0.376 10.99 158 3.4260
0.313 11.97 172 3.9302
0.2562 12.94 186 3.7433
0.2051 13.98 201 3.9113
0.1802 14.96 215 4.0450
0.1378 16.0 230 3.9397
0.1546 16.97 244 4.3079
0.1375 17.95 258 4.5525
0.1005 18.99 273 4.9005
0.0808 19.48 280 4.8167

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2