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bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-islamic-squad – AI Model by haddadalwi | AlphaNeural AI
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bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-islamic-squad
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
squad_v2
apache-2.0
endpoints_compatible
us
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bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-islamic-squad
This model is a fine-tuned version of
bert-large-uncased-whole-word-masking-finetuned-squad
on the squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 0.3855
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: 4
eval_batch_size: 4
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
No log
1.0
40
0.4082
No log
2.0
80
0.3855
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
