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bert-base-chinese-finetuned-swag-512 – AI Model by sharkMeow | AlphaNeural AI
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sharkMeow
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bert-base-chinese-finetuned-swag-512
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transformers
pytorch
bert
multiple-choice
generated_from_trainer
ckiplab/bert-base-chinese
finetune
gpl-3.0
endpoints_compatible
us
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bert-base-chinese-finetuned-swag-512
This model is a fine-tuned version of
ckiplab/bert-base-chinese
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1929
Accuracy: 0.9565
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: 3e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1659
1.0
5428
0.1929
0.9565
Framework versions
Transformers 4.34.0
Pytorch 1.13.1+cu116
Datasets 2.14.5
Tokenizers 0.14.1
