smlhd/bert_cn_finetuning

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bertcnfinetuning

This model is a fine-tuned version of bert-base-chinese on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5117
• —Accuracy: 0.8280

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1.0

Training results

Framework versions

• —Transformers 4.45.0.dev0
• —Pytorch 2.2.2
• —Datasets 3.0.0
• —Tokenizers 0.19.1