---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: danmaku-mlm
  results: []
pipeline_tag: fill-mask
---

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# Danmaku-MLM

This model is a fine-tuned version of [uer/chinese_roberta_L-8_H-512](https://huggingface.co/uer/chinese_roberta_L-8_H-512) on an [Danmaku Corpus](https://github.com/Chen-X666/bullet-screenCorpus)(2000k raw data) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1645
- Accuracy: 0.7780

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

Traning Data: https://github.com/Chen-X666/bullet-screenCorpus

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1
- Datasets 2.6.1
- Tokenizers 0.11.0