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clasificador-muchocine – AI Model by clagp16 | AlphaNeural AI
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clagp16
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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: 0.0139
Accuracy: 0.9972
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
0.6613
1.0
654
0.0917
0.9733
0.0941
2.0
1308
0.0241
0.9960
0.0281
3.0
1962
0.0139
0.9972
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.2
Tokenizers 0.22.1
