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summarization_

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

summarization_

This model is a fine-tuned version of google-t5/t5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2707
  • Rouge1: 0.3284
  • Rouge2: 0.2294
  • Rougel: 0.3018
  • Rougelsum: 0.3019
  • Gen Len: 18.9762

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: 2e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.3867 1.0 6283 0.2707 0.3284 0.2294 0.3018 0.3019 18.9762

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2