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t5-small-finetuned-xsum

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metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
model-index:
  - name: t5-small-finetuned-xsum
    results: []

t5-small-finetuned-xsum

This model is a fine-tuned version of t5-small on the None dataset.

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • 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
No log 1.0 1 4.5099 21.3714 12.4743 18.5076 19.6605 19.0

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cpu
  • Datasets 3.1.0
  • Tokenizers 0.20.3