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dialogsum-flan-t5-base

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

  • Loss: 31.1190

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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
33.213 1.0 1558 31.2030
29.4489 2.0 3116 31.1150
29.4301 3.0 4674 31.1190

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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