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bert_cn_finetuning – AI Model by smlhd | AlphaNeural AI

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smlhd/
bert_cn_finetuning

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text-classification

generated_from_trainer

google-bert/bert-base-chinese

autotrain_compatible

endpoints_compatible

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bert_cn_finetuning

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
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: 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