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classificator_names – AI Model by JFernandoGRE | AlphaNeural AI
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classificator_names
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transformers
safetensors
bert
text-classification
generated_from_trainer
dccuchile/bert-base-spanish-wwm-uncased
finetune
autotrain_compatible
endpoints_compatible
us
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classificator_names
This model is a fine-tuned version of
dccuchile/bert-base-spanish-wwm-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0770
Accuracy: 0.9867
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 12345
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
88
0.0798
0.9867
No log
2.0
176
0.0745
0.9867
No log
3.0
264
0.0770
0.9867
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cpu
Datasets 2.19.2
Tokenizers 0.19.1
