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End of training
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metadata
license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
datasets:
  - id_liputan6
metrics:
  - rouge
model-index:
  - name: t5-small-finetuned-liputan6
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: id_liputan6
          type: id_liputan6
          config: canonical
          split: test
          args: canonical
        metrics:
          - name: Rouge1
            type: rouge
            value: 16.8519

t5-small-finetuned-liputan6

This model is a fine-tuned version of t5-small on the id_liputan6 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4736
  • Rouge1: 16.8519
  • Rouge2: 8.2938
  • Rougel: 15.684
  • Rougelsum: 16.2027
  • Gen Len: 19.0

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: 0.0001
  • 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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.2939 1.0 24236 1.4736 16.8519 8.2938 15.684 16.2027 19.0

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2