metadata

library_name: transformers
language:
  - zh
license: apache-2.0
base_model: hfl/chinese-bert-wwm-ext
tags:
  - generated_from_trainer
datasets:
  - chinese_paragraph_relevance
metrics:
  - accuracy
model-index:
  - name: chinese_paragraph_bert-ext
    results:
      - task:
          name: Multiple Choice
          type: multiple-choice
        dataset:
          name: Chinese Relevance Paragraphs
          type: chinese_paragraph_relevance
          args: relevant_paragraph
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9617813229560852

chinese_paragraph_bert-ext

This model is a fine-tuned version of hfl/chinese-bert-wwm-ext on the Chinese Relevance Paragraphs dataset. It achieves the following results on the evaluation set:

Loss: 0.1717
Accuracy: 0.9618

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1