txt_summary_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: 2.5514
  • Rouge1: 0.1389
  • Rouge2: 0.0536
  • Rougel: 0.1181
  • Rougelsum: 0.1176
  • 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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 62 2.8496 0.1231 0.0345 0.1031 0.103 19.0
No log 2.0 124 2.6339 0.1302 0.0452 0.1107 0.1105 19.0
No log 3.0 186 2.5686 0.1373 0.0518 0.1163 0.1158 19.0
No log 4.0 248 2.5514 0.1389 0.0536 0.1181 0.1176 19.0

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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Dataset used to train siddhantgore/txt_summary_model

Evaluation results