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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: danmaku-mlm
results: []
pipeline_tag: fill-mask
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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 |