results / README.md
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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: 0.8601
  • Rouge1: 0.2061
  • Rouge2: 0.1141
  • Rougel: 0.1781
  • Rougelsum: 0.1947

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
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
No log 1.0 17 1.0118 0.1983 0.1119 0.1688 0.1818
No log 2.0 34 0.9766 0.2073 0.1290 0.1859 0.1993
No log 3.0 51 0.9211 0.2097 0.1224 0.1853 0.1983
No log 4.0 68 0.8961 0.2122 0.1165 0.1845 0.1991
No log 5.0 85 0.8820 0.2107 0.1192 0.1850 0.2016
No log 6.0 102 0.8734 0.2101 0.1173 0.1817 0.1999
No log 7.0 119 0.8688 0.2056 0.1114 0.1785 0.1920
No log 8.0 136 0.8639 0.2057 0.1135 0.1763 0.1931
No log 9.0 153 0.8615 0.2084 0.1173 0.1799 0.1956
No log 10.0 170 0.8601 0.2061 0.1141 0.1781 0.1947

Framework versions

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