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text-classification – AI Model by sanar085 | AlphaNeural AI
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sanar085
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text-classification
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transformers
safetensors
electra
text-classification
classification
generated_from_trainer
mrm8488/electricidad-base-discriminator
finetune
autotrain_compatible
endpoints_compatible
us
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text-classification
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: 1.4197
Accuracy: 0.4503
Model description
Este modelo emplea un algoritmo de clasificación de textos. Emplea el modelo Electricidad para tokenizar el texto.
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
1.3400
0.4052
1.3886
2.0
776
1.2878
0.4387
0.9608
3.0
1164
1.4197
0.4503
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
