touring

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

  • Loss: 1.3199
  • Rouge1: 42.1053
  • Rouge2: 0.0
  • Rougel: 42.1053
  • Rougelsum: 42.1053
  • Gen Len: 5.8947

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: 5e-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: 5

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 49 1.5630 35.2632 0.0 35.2632 35.2632 5.7474
No log 2.0 98 1.3838 41.5789 0.0 41.5789 41.5789 5.9316
No log 3.0 147 1.3419 41.0526 0.0 41.0526 41.0526 5.8684
No log 4.0 196 1.3239 41.5789 0.0 41.5789 41.5789 5.8526
No log 5.0 245 1.3199 42.1053 0.0 42.1053 42.1053 5.8947

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Tokenizers 0.13.2
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