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clasificador-muchocine-distilbert – AI Model by Elifr | AlphaNeural AI
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Elifr
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clasificador-muchocine-distilbert
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transformers
pytorch
distilbert
text-classification
classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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clasificador-muchocine-distilbert
This model is a fine-tuned version of
dccuchile/distilbert-base-spanish-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3952
Accuracy: 0.4710
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
1.2939
0.4465
1.2888
2.0
776
1.2575
0.4684
0.8575
3.0
1164
1.3952
0.4710
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
