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ModelDir_squad – AI Model by deeshlby | AlphaNeural AI
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ModelDir_squad
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transformers
pytorch
bert
question-answering
generated_from_trainer
squad
google-bert/bert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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ModelDir_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: 1.0466
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.0033
1.0
750
1.1124
0.9298
2.0
1500
1.0247
0.7456
3.0
2250
1.0466
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
