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clasificador-muchocine – AI Model by angarcme | AlphaNeural AI
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angarcme
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clasificador-muchocine
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transformers
safetensors
electra
text-classification
classification
generated_from_trainer
mrm8488/electricidad-base-discriminator
finetune
endpoints_compatible
us
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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:
Loss: 0.0083
Accuracy: 0.9988
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6475
1.0
654
0.0774
0.9808
0.0943
2.0
1308
0.0190
0.9966
0.0285
3.0
1962
0.0083
0.9988
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
