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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