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bert-base-squad – AI Model by ahcene-ikram | AlphaNeural AI
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ahcene-ikram
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bert-base-squad
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
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bert-base-uncased-fine-squad
This model is a fine-tuned version of
bert-base-uncased
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.1842
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: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
1.0625
1.0
29508
1.0876
0.7613
2.0
59016
1.1842
Framework versions
Transformers 4.28.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
