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clasificador-muchocine – AI Model by agata-luk | AlphaNeural AI

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agata-luk/
clasificador-muchocine

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text-classification

generated_from_trainer

mrm8488/electricidad-base-discriminator

endpoints_compatible

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clasificador-muchocine

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset.

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: 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 4.4.1
Tokenizers 0.22.1