t5-small-indosum-3

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

• Loss: 0.4340
• Rouge1: 15.1875
• Rouge2: 11.795
• Rougel: 14.9384
• Rougelsum: 15.0579
• 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: 2e-05
• train_batch_size: 40
• eval_batch_size: 40
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.5356	1.0	1784	0.4647	15.1653	11.7743	14.9193	15.0383	19.0
0.4791	2.0	3568	0.4401	15.175	11.789	14.9281	15.0459	19.0
0.4698	3.0	5352	0.4340	15.1875	11.795	14.9384	15.0579	19.0

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.3
• Tokenizers 0.13.3