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Bert_v12 – AI Model by JhonMR | AlphaNeural AI
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Bert_v12
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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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Bert_v12
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:
Accuracy: 0.9063
F1: 0.9070
Precision: 0.9093
Recall: 0.9082
Loss: 0.4002
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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 100
num_epochs: 20
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
