t5-small-finetuned-cc-news-es-titles

This model is a fine-tuned version of t5-small on the cc-news-es-titles dataset. It achieves the following results on the evaluation set:

• Loss: 2.6383
• Rouge1: 16.701
• Rouge2: 4.1265
• Rougel: 14.8175
• Rougelsum: 14.8193
• Gen Len: 18.9159

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.8439	1.0	23133	2.6383	16.701	4.1265	14.8175	14.8193	18.9159

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1