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ch_text_001

Text Classification
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Safetensors
bert
Generated from Trainer
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metadata
license: apache-2.0
base_model: shibing624/text2vec-base-chinese
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: ch_text_001
    results: []

ch_text_001

This model is a fine-tuned version of shibing624/text2vec-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0768
  • Accuracy: 0.9870

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0781 1.0 2125 0.0781 0.9849
0.0545 2.0 4250 0.0768 0.9870

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cpu
  • Datasets 2.16.1
  • Tokenizers 0.15.0