t5-small-finetuned-cnn-mail-en

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.7429
• Rouge1: 31.6345
• Rouge2: 16.2269
• Rougel: 26.5554
• Rougelsum: 29.6201

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: Use OptimizerNames.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
2.0493	1.0	1250	1.7573	31.5732	16.093	26.6379	29.6103
1.9814	2.0	2500	1.7460	31.4484	15.9575	26.4791	29.4925
1.9421	3.0	3750	1.7428	31.6342	16.1988	26.5469	29.625
1.9233	4.0	5000	1.7429	31.6345	16.2269	26.5554	29.6201

Framework versions

• Transformers 4.53.1
• Pytorch 2.7.1+cu126
• Datasets 4.0.0
• Tokenizers 0.21.2