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my_awesome_billsum_model

This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5130
  • Rouge1: 0.1462
  • Rouge2: 0.0568
  • Rougel: 0.1227
  • Rougelsum: 0.1227
  • Gen Len: 19.0

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 62 2.7996 0.1316 0.0423 0.1118 0.1118 19.0
No log 2.0 124 2.5947 0.1394 0.0501 0.1191 0.1191 19.0
No log 3.0 186 2.5312 0.144 0.0535 0.1198 0.12 19.0
No log 4.0 248 2.5130 0.1462 0.0568 0.1227 0.1227 19.0

Framework versions

  • Transformers 4.27.2
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2
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Dataset used to train tulayturanmaku/my_awesome_billsum_model

Evaluation results