Cem13/flan_T5_

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: 47.2627
• Rouge2: 23.4832
• Rougel: 39.7967
• Rougelsum: 43.408
• 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	46.7175	22.7587	39.029	42.8309	17.3993
1.3385	2.0	3684	1.3751	46.8834	23.2509	39.1568	43.0054	17.3431
1.2711	3.0	5526	1.3745	47.2781	23.4867	39.632	43.4454	17.4493
1.2284	4.0	7368	1.3743	47.2627	23.4832	39.7967	43.408	17.2466
1.2085	5.0	9210	1.3759	47.3838	23.7368	39.8441	43.6349	17.2967

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0