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bert-squad-covidqa-2 – AI Model by hung200504 | AlphaNeural AI
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hung200504
/
bert-squad-covidqa-2
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transformers
pytorch
bert
question-answering
generated_from_trainer
hung200504/bert-squadv2
finetune
mit
endpoints_compatible
us
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bert-squad-covidqa-2
This model is a fine-tuned version of
hung200504/bert-squadv2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0012
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
6.0266
0.71
5
1.2542
0.3796
1.43
10
0.0068
0.0123
2.14
15
0.0018
0.0039
2.86
20
0.0012
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
