TraductorEnEs

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on an unknown dataset.

Model description

This is an AI model generated(AI genrate an AI model)

Intended uses & limitations

It's an educational attemp so you can do what the licence indicates.

Training and evaluation data

Just used 50000 training sentences and traductions.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 32
• 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: 1
• mixed_precision_training: Native AMP

Training results

It's really good to see that spanish traductions are acurate, we didn't expect it would work so well.

Framework versions

• Transformers 4.52.3
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1