clasificador-muchocine

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0360
• eval_accuracy: 0.9930
• eval_runtime: 46.8492
• eval_samples_per_second: 223.269
• eval_steps_per_second: 3.501
• epoch: 2.0
• step: 1308

Model description

This model is part of an assignment for the subject "Aprendizaje automático para el procesamiento de datos", part of the syllabus for the Máster en Procesamiento del Lenguaje y Aplicaciones de la Inteligencia Artificial a la Lingüística, at the Universidad de La Rioja.

Intended uses & limitations

This model has been created with didactic purposes.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 64
• eval_batch_size: 64
• 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: 3.0

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1