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chinese_danmaku_roberta – AI Model by TinyTalks | AlphaNeural AI

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TinyTalks/
chinese_danmaku_roberta

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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