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colourrain
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bert_cn_sst

Text Classification
Transformers
Safetensors
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
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xet
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sst2

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

  • Loss: 0.4419
  • Accuracy: 0.8131

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: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Framework versions

  • Transformers 4.51.0.dev0
  • Pytorch 2.5.1
  • Datasets 3.5.0
  • Tokenizers 0.21.1
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Base model

google-bert/bert-base-chinese
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Dataset used to train colourrain/bert_cn_sst

Evaluation results