metadata
tags:
- generated_from_trainer
metrics:
- accuracy
pipeline_tag: fill-mask
base_model: uer/chinese_roberta_L-8_H-512
model-index:
- name: danmaku-mlm
results: []
Danmaku-MLM
This model is a fine-tuned version of uer/chinese_roberta_L-8_H-512 on an Danmaku Corpus(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