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momo345/bert-finetuned-covidqa · Pirate Face

momo345/bert-finetuned-covidqa

Source: 🤗question-answeringapache-2.066M params266 MBsafetensors✓ 2 checksumsupdated 929d ago

bert-finetuned-covidqa

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.

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: 5e-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: 5
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.40.1
Pytorch 2.1.0
Datasets 2.19.0
Tokenizers 0.19.1

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Model size: 266 MB
Downloads · last month: 2
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