flan-t5-base-samsum

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

• Loss: 1.3743
• Rouge1: 47.2194
• Rouge2: 23.4461
• Rougel: 39.8137
• Rougelsum: 43.453
• Gen Len: 17.2466

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
1.4528	1.0	1842	1.3867	46.6599	22.7188	39.0092	42.8594	17.3993
1.3385	2.0	3684	1.3751	46.8467	23.2155	39.1262	43.0446	17.3431
1.2711	3.0	5526	1.3745	47.2411	23.4594	39.6138	43.4988	17.4493
1.2284	4.0	7368	1.3743	47.2194	23.4461	39.8137	43.453	17.2466
1.2085	5.0	9210	1.3759	47.3946	23.7172	39.8245	43.6654	17.2967

Framework versions

• Transformers 4.36.1
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0