t5-base-indonesian-summarization-cased-finetuned-indosum

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t5-base-indonesian-summarization-cased-finetuned-indosum

This model is a fine-tuned version of panggi/t5-base-indonesian-summarization-cased on the indosum dataset. It achieves the following results on the evaluation set:

• Loss: 0.5884
• Rouge1: 0.3278
• Rouge2: 0.2868
• Rougel: 0.32
• Rougelsum: 0.3198
• 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: 5.6e-05
• train_batch_size: 3
• eval_batch_size: 3
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3