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flan-t5-base-billsum_model

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

  • Loss: nan
  • Rouge1: 0.2154
  • Rouge2: 0.1259
  • Rougel: 0.1843
  • Rougelsum: 0.1843
  • Gen Len: 17.3735
  • Bleu: 0.0011

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 40
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len Bleu
No log 1.0 296 nan 0.2154 0.1259 0.1843 0.1843 17.3735 0.0011
0.0 2.0 592 nan 0.2154 0.1259 0.1843 0.1843 17.3735 0.0011
0.0 3.0 888 nan 0.2154 0.1259 0.1843 0.1843 17.3735 0.0011

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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Dataset used to train alaahussein/flan-t5-base-billsum_model

Evaluation results