t5-neutralization

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

• Loss: 0.0658
• Bleu: 95.48
• Gen Len: 14.0312

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	440	0.0838	95.1314	14.1042
0.3769	2.0	880	0.0658	95.48	14.0312

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2