t5-xl-v2

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

• Loss: 1.8350
• Rouge1: 29.9535
• Rouge2: 11.4157
• Rougel: 21.3830
• Rougelsum: 21.3793

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: 4e-05
• train_batch_size: 24
• eval_batch_size: 32
• seed: 7
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.1401	0.34	300	1.8438	30.0703	11.5959	21.6066	21.6053
2.13	0.67	600	1.8369	29.9460	11.6006	21.6609	21.6625
2.1364	1.01	900	1.8262	30.2597	11.8455	21.7202	21.7212
2.1301	1.35	1200	1.8301	30.1492	11.6922	21.6115	21.6151
2.146	1.68	1500	1.8350	29.9535	11.4157	21.3830	21.3793

Framework versions

• PEFT 0.10.0
• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2