t5-small-namefixer-es

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

• eval_loss: 0.0064
• eval_model_preparation_time: 0.0042
• eval_runtime: 2.8981
• eval_samples_per_second: 345.057
• eval_steps_per_second: 43.132
• step: 0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use 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: 3

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.4.1
• Tokenizers 0.21.0