flan-t5-small-summarization-es

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

• Loss: 2.3009
• Rouge1: 16.6557
• Rouge2: 4.1916
• Rougel: 13.9645
• Rougelsum: 13.9774
• Gen Len: 18.996

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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.5692	1.0	625	2.3347	16.6688	3.9677	14.037	14.0193	18.996
2.5700	2.0	1250	2.3086	16.55	4.232	13.8346	13.829	18.996
2.5583	3.0	1875	2.3009	16.6557	4.1916	13.9645	13.9774	18.996

Framework versions

• Transformers 5.3.0
• Pytorch 2.10.0+cu128
• Datasets 2.21.0
• Tokenizers 0.22.2