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clasificador-muchocine – AI Model by veritober | AlphaNeural AI
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veritober
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clasificador-muchocine
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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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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: 1.3716
Accuracy: 0.4465
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
1.3597
0.3794
1.4242
2.0
776
1.3048
0.4374
1.0638
3.0
1164
1.3716
0.4465
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
