results

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

• Loss: 2.5920
• Rouge1: 14.7596
• Rouge2: 4.3807
• Rougel: 12.2006
• Rougelsum: 12.2

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.5565	0.8163	1000	2.5957	14.9406	4.4429	12.4353	12.433
2.1876	1.6327	2000	2.5816	14.8245	4.3741	12.2496	12.2465
1.9943	2.4490	3000	2.5886	14.8735	4.3477	12.2451	12.2445
1.8837	3.2653	4000	2.5920	14.7596	4.3807	12.2006	12.2

Framework versions

• Transformers 4.46.3
• Pytorch 2.4.0
• Datasets 2.16.0
• Tokenizers 0.20.0