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senate_bills_summary_model

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9099
  • Rouge1: 0.2477
  • Rouge2: 0.1963
  • Rougel: 0.2407
  • Rougelsum: 0.2406
  • Gen Len: 18.9992

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: 2e-05
  • train_batch_size: 14
  • eval_batch_size: 14
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.2318 1.0 749 1.9710 0.2475 0.1952 0.2405 0.2402 18.9985
2.1782 2.0 1498 1.9331 0.2478 0.1959 0.2408 0.2406 18.9992
2.1355 3.0 2247 1.9141 0.2479 0.1961 0.2409 0.2407 18.9992
2.1079 4.0 2996 1.9099 0.2477 0.1963 0.2407 0.2406 18.9992

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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