longt5_xl_sfd_bp_10

This model is a fine-tuned version of google/long-t5-tglobal-xl on the learn3r/summ_screen_fd_bp dataset. It achieves the following results on the evaluation set:

  • Loss: 2.8921

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
2.3973 0.97 14 1.9027
1.9188 1.95 28 1.6941
1.4297 2.99 43 1.5011
1.2759 3.97 57 1.5048
1.1421 4.94 71 1.5463
0.9605 5.98 86 1.6270
0.8082 6.96 100 1.7646
0.664 8.0 115 1.7878
0.5471 8.97 129 1.9500
0.4349 9.95 143 1.9657
0.4338 10.99 158 2.1351
0.2887 11.97 172 2.1166
0.2753 12.94 186 2.4357
0.2114 13.98 201 2.5789
0.1805 14.96 215 2.6075
0.1543 16.0 230 2.5597
0.5166 16.97 244 2.5067
0.1117 17.95 258 2.8087
0.0895 18.99 273 2.7578
0.0779 19.48 280 2.8921

Framework versions

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