results / README.md
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metadata
license: apache-2.0
base_model: t5-small
tags:
  - summarization
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: results
    results: []

results

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

  • Loss: 1.7600
  • Rouge1: 0.1317
  • Rouge2: 0.1118
  • Rougel: 0.1232
  • Rougelsum: 0.1232

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
No log 1.0 250 1.8935 0.04 0.0359 0.0375 0.0375
2.8412 2.0 500 1.7864 0.1089 0.0934 0.0954 0.0954
2.8412 3.0 750 1.7600 0.1317 0.1118 0.1232 0.1232

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1