bert-base-chinese-finetuned-swag-512

sharkMeow/bert-base-chinese-finetuned-swag-512

bert-base-chinese-finetuned-swag-512 is a multiple choice model from sharkMeow. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as gpl-3.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: multiple choice
Library: transformers
License: gpl-3.0
Model type: bert
Access: Public
Created: Oct 15, 2023
Updated: Oct 16, 2023
SHA: bf5fbc1c

Base models

ckiplab/bert-base-chinese

Model card

From the Hugging Face model README

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

Task: multiple choice
Library: transformers
Type: bert
License: gpl-3.0
Created: Oct 15, 2023
Updated: Oct 16, 2023