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clasificador-muchocine – AI Model by Gadea | AlphaNeural AI
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Gadea
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clasificador-muchocine
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transformers
pytorch
electra
text-classification
classification
generated_from_trainer
autotrain_compatible
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: 1.3790
Accuracy: 0.4297
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
388
1.3752
0.3716
1.4054
2.0
776
1.2843
0.4335
1.0478
3.0
1164
1.3790
0.4297
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
