t5-fr

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

• Loss: 1.6878
• Rouge1: 23.3848
• Rouge2: 9.3504
• Rougel: 19.3597
• Rougelsum: 19.8429

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: 5.6e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.9764	1.0	2676	1.7374	22.998	9.1033	19.0142	19.5113
1.7791	2.0	5352	1.7085	23.3534	9.3481	19.399	19.8575
1.6981	3.0	8028	1.7009	23.1764	9.163	19.1898	19.6352
1.6511	4.0	10704	1.6878	23.3848	9.3504	19.3597	19.8429

Framework versions

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