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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: 0.2242
  • Rouge1: 0.2012
  • Rouge2: 0.1143
  • Rougel: 0.1704
  • Rougelsum: 0.1885

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 5.3687 0.1823 0.0899 0.1478 0.1616
No log 2.0 34 3.0748 0.1903 0.0931 0.1539 0.1741
No log 3.0 51 1.5007 0.1654 0.0620 0.1273 0.1507
No log 4.0 68 0.5415 0.1570 0.0597 0.1153 0.1389
No log 5.0 85 0.3232 0.1538 0.0702 0.1152 0.1377
No log 6.0 102 0.2662 0.1668 0.0704 0.1298 0.1467
No log 7.0 119 0.2379 0.1667 0.0684 0.1283 0.1475
No log 8.0 136 0.2296 0.1865 0.0911 0.1498 0.1720
No log 9.0 153 0.2266 0.2040 0.1084 0.1662 0.1860
No log 10.0 170 0.2238 0.2031 0.1136 0.1689 0.1877
No log 11.0 187 0.2239 0.2012 0.1148 0.1704 0.1885
No log 11.76 200 0.2242 0.2012 0.1143 0.1704 0.1885

Framework versions

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