t5-base-finetuned-summarize-news-tuto-noticias

This model is a fine-tuned version of mrm8488/t5-base-finetuned-summarize-news on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1414
• Rouge1: 0.3108
• Rouge2: 0.2066
• Rougel: 0.3003
• Rougelsum: 0.3004

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.3374	1.0	6034	1.1414	0.3108	0.2066	0.3003	0.3004

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.7.1
• Tokenizers 0.13.2