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metadata
base_model: nghuyong/ernie-3.0-xbase-zh
tags:
  - generated_from_trainer
model-index:
  - name: ernie-3.0-xbase-zh-RETACRED-1114
    results: []

ernie-3.0-xbase-zh-RETACRED-1114

This model is a fine-tuned version of nghuyong/ernie-3.0-xbase-zh on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1560

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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
1.5417 1.0 1828 1.9809
1.5712 2.0 3656 1.9847
1.5431 3.0 5484 2.1279
1.5233 4.0 7312 2.1653
1.517 5.0 9140 2.1560

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1