flan-t5-samsum / README.md
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First model version
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - samsum
model-index:
  - name: models_and_tokenizers
    results: []

models_and_tokenizers

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

  • eval_loss: 1.4721
  • eval_rouge1: 45.9566
  • eval_rouge2: 22.0863
  • eval_rougeL: 38.238
  • eval_rougeLsum: 41.9378
  • eval_get_len: 16.9096
  • eval_runtime: 131.3434
  • eval_samples_per_second: 6.236
  • eval_steps_per_second: 0.784
  • step: 0

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: 1

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1
  • Datasets 2.10.1
  • Tokenizers 0.13.2