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: 2.9263
• Rouge1: 0.1157
• Rouge2: 0.0260
• Rougel: 0.0945
• Rougelsum: 0.1051

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: 0.0003
• 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.1743	1.0	5641	2.9677	0.1160	0.0261	0.0949	0.1055
3.0049	2.0	11282	2.9263	0.1157	0.0260	0.0945	0.1051

Framework versions

• Transformers 4.43.2
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1