---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta_wwm_ext_hunyin_2epoch
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta_wwm_ext_hunyin_2epoch

This model is a fine-tuned version of [/home/zhangc/law_related/law_telecom/PLMs/chinese-roberta-wwm-ext](https://huggingface.co//home/zhangc/law_related/law_telecom/PLMs/chinese-roberta-wwm-ext) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0510
- Accuracy: 0.9881

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2