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ibama_dataset2_teste_20250105145342 – AI Model by alcalazans | AlphaNeural AI
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ibama_dataset2_teste_20250105145342
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transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
pierreguillou/bert-base-cased-squad-v1.1-portuguese
finetune
mit
endpoints_compatible
us
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ibama_dataset2_teste_20250105145342
This model is a fine-tuned version of
pierreguillou/bert-base-cased-squad-v1.1-portuguese
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.1221
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
65
4.8875
No log
2.0
130
4.8660
No log
3.0
195
5.0216
No log
4.0
260
5.1221
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
