bert-base-chinese-finetuned-paragraph_extraction-2

jazzson/bert-base-chinese-finetuned-paragraph_extraction-2

bert-base-chinese-finetuned-paragraph_extraction-2 is a multiple choice model from jazzson. 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.

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

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At a glance

Task: multiple choice
Library: transformers
Model type: bert
Access: Public
Created: Sep 23, 2024
Updated: Sep 23, 2024
SHA: 07fd5a40

Base models

Model card

From the Hugging Face model README

bert-base-chinese-finetuned-paragraph_extraction-2

This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3001
Accuracy: 0.9558

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2313	1.0	10857	0.3451	0.9468
0.1272	2.0	21714	0.3001	0.9558

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Task: multiple choice
Library: transformers
Type: bert
Created: Sep 23, 2024
Updated: Sep 23, 2024