title_generation

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: nan
• Rouge1: 41.5236
• Rouge2: 17.5894
• Rougel: 37.2852
• Rougelsum: 37.2749
• Gen Len: 13.3542

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-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	3748	nan	41.5236	17.5894	37.2852	37.2749	13.3542
0.0	2.0	7496	nan	41.5236	17.5894	37.2852	37.2749	13.3542
0.0	3.0	11244	nan	41.5236	17.5894	37.2852	37.2749	13.3542

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3