modified

This model is a fine-tuned version of indobenchmark/indobart-v2 on the squad dataset. It achieves the following results on the evaluation set:

• Loss: 1.6035
• Rouge1: 15.4275
• Rouge2: 14.2367
• Rougel: 15.4625
• Rougelsum: 15.4954
• Gen Len: 20.0

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: 3e-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
• lr_scheduler_warmup_steps: 100
• num_epochs: 1
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.4719	1.0	200	1.6035	15.4275	14.2367	15.4625	15.4954	20.0

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.2
• Tokenizers 0.13.3