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: 1.3733
• Rouge1: 47.0915
• Rouge2: 23.4118
• Rougel: 39.8368
• Rougelsum: 43.3312
• Gen Len: 17.2308

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: 32
• eval_batch_size: 32
• 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
No log	1.0	461	1.3902	46.725	23.0515	39.1832	42.944	17.2601
1.4553	2.0	922	1.3787	47.2726	23.4894	39.5801	43.4158	17.1355
1.3763	3.0	1383	1.3737	47.3267	23.6022	39.7992	43.4532	17.1966
1.3412	4.0	1844	1.3750	47.2869	23.7053	39.9717	43.5825	17.3431
1.3045	5.0	2305	1.3733	47.0915	23.4118	39.8368	43.3312	17.2308

Framework versions

• Transformers 4.39.1
• Pytorch 2.0.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2