t5-small-with-generate-finetune-indosum

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

• Loss: 0.6542
• Rouge1: 0.2065
• Rouge2: 0.1572
• Rougel: 0.2026
• Rougelsum: 0.2026
• 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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.7518	1.0	4460	0.6542	0.2065	0.1572	0.2026	0.2026	19.0

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.0
• Datasets 2.12.0
• Tokenizers 0.13.2