flanT5_small_title_desc

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

• Loss: 0.0198
• Rouge1: 2.9385
• Rouge2: 1.7278
• Rougel: 2.3658
• Rougelsum: 2.5451
• Gen Len: 18.9634

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
0.0781	1.0	2020	0.0496	2.2624	1.1169	1.781	1.9142	18.8670
0.0476	2.0	4040	0.0309	2.635	1.4254	2.1038	2.2632	18.9406
0.0366	3.0	6060	0.0238	2.8703	1.642	2.284	2.4596	18.8908
0.0327	4.0	8080	0.0207	2.9212	1.7136	2.3494	2.5265	18.9626
0.0308	5.0	10100	0.0198	2.9385	1.7278	2.3658	2.5451	18.9634

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1