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clasificador-anorexia-spanish – AI Model by paascorb | AlphaNeural AI
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paascorb
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clasificador-anorexia-spanish
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transformers
pytorch
bert
text-classification
classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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clasificador-anorexia-spanish
This model is a fine-tuned version of
Recognai/bert-base-spanish-wwm-cased-xnli
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5353
Accuracy: 0.7429
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
13
0.7172
0.5429
No log
2.0
26
0.5772
0.7429
No log
3.0
39
0.5353
0.7429
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
