metadata

license: gpl-3.0
base_model: ckiplab/bert-base-chinese
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-base-chinese-finetuned-swag
    results: []

bert-base-chinese-finetuned-swag

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: 0.2704
Accuracy: 0.9525

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2559	1.0	10857	0.2704	0.9525

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1