results

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: 2.2907
• Rouge1: 0.4527
• Rouge2: 0.3281
• Rougel: 0.4353
• Rougelsum: 0.4353

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	2	2.5861	0.1012	0.0357	0.1012	0.1012
No log	2.0	4	2.4501	0.2033	0.125	0.2033	0.2033
No log	3.0	6	2.3942	0.3133	0.2348	0.2475	0.2475
No log	4.0	8	2.3593	0.3133	0.2348	0.2475	0.2475
No log	5.0	10	2.3353	0.2095	0.1384	0.1960	0.1960
No log	6.0	12	2.3181	0.4082	0.3309	0.3947	0.3947
No log	7.0	14	2.3055	0.4082	0.3309	0.3947	0.3947
No log	8.0	16	2.2976	0.4427	0.3309	0.4129	0.4120
No log	9.0	18	2.2927	0.4527	0.3281	0.4353	0.4353
No log	10.0	20	2.2907	0.4527	0.3281	0.4353	0.4353

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2