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bert-base-uncased-finetuned-squad_v2_4 – AI Model by seviladiguzel | AlphaNeural AI
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bert-base-uncased-finetuned-squad_v2_4
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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-finetuned-squad_v2_4
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: 1.2184
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
1.0655
1.0
5533
1.0163
0.8028
2.0
11066
1.0524
0.5648
3.0
16599
1.0885
0.4355
4.0
22132
1.2184
Framework versions
Transformers 4.28.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
