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metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: results
    results: []

results

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: 0.8470
  • Rouge1: 0.2057
  • Rouge2: 0.1147
  • Rougel: 0.1782
  • Rougelsum: 0.1958

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: 8e-05
  • train_batch_size: 8
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 200

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
No log 1.0 17 1.2660 0.1999 0.1058 0.1703 0.1847
No log 2.0 34 1.1230 0.2144 0.1178 0.1823 0.2017
No log 3.0 51 1.0869 0.2106 0.1181 0.1870 0.2010
No log 4.0 68 0.9919 0.2110 0.1205 0.1883 0.2036
No log 5.0 85 1.0286 0.2009 0.1078 0.1749 0.1935
No log 6.0 102 0.9935 0.2042 0.1096 0.1775 0.1958
No log 7.0 119 0.9676 0.2132 0.1231 0.1887 0.2068
No log 8.0 136 0.9297 0.2062 0.1155 0.1824 0.1992
No log 9.0 153 0.9009 0.2101 0.1181 0.1853 0.2027
No log 10.0 170 0.8658 0.2088 0.1179 0.1840 0.2021
No log 11.0 187 0.8495 0.2061 0.1146 0.1791 0.1972
No log 11.76 200 0.8470 0.2057 0.1147 0.1782 0.1958

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3