README.md

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