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global_ep5_bertsqv1pptbased_ctxpar_punct_sqv2 – AI Model by victorAtl | AlphaNeural AI
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victorAtl
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global_ep5_bertsqv1pptbased_ctxpar_punct_sqv2
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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global_ep5_bertsqv1pptbased_ctxpar_punct_sqv2
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: 0.5432
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: 30
eval_batch_size: 180
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 90
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
96
0.6827
No log
2.0
192
0.4766
No log
3.0
288
0.4886
No log
4.0
384
0.5174
No log
5.0
480
0.5432
Framework versions
Transformers 4.24.0
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
