flan-t5-base-samsum

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3701
• Rouge1: 47.3692
• Rouge2: 23.8422
• Rougel: 39.8714
• Rougelsum: 43.5305
• Gen Len: 17.2393

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: 5e-05
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.4503	1.0	1842	1.3824	46.8175	23.0643	39.3286	43.071	17.3370
1.3502	2.0	3684	1.3725	47.089	23.1145	39.7933	43.3919	17.3944
1.2812	3.0	5526	1.3701	47.3692	23.8422	39.8714	43.5305	17.2393
1.231	4.0	7368	1.3719	47.5815	23.8343	40.0254	43.8344	17.2930
1.197	5.0	9210	1.3760	47.7141	23.987	40.1787	43.9113	17.3065

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu118
• Datasets 2.17.0
• Tokenizers 0.15.2