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modelo_qa_beto_pdqa – AI Model by Lisibonny | AlphaNeural AI
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modelo_qa_beto_pdqa
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transformers
safetensors
bert
question-answering
generated_from_trainer
dccuchile/bert-base-spanish-wwm-uncased
finetune
endpoints_compatible
us
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modelo_qa_beto_pdqa
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: 3.9616
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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
5.7242
1.0
4
5.1723
5.0218
2.0
8
4.5838
4.4618
3.0
12
4.1394
4.118
4.0
16
3.9616
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.14.5
Tokenizers 0.15.1
