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Contract-new-tokenizer-KR-FinBert

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PyTorch
bert
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Contract-new-tokenizer-KR-FinBert / README.md
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
base_model: snunlp/KR-FinBert
model-index:
  - name: Contract-new-tokenizer-KR-FinBert
    results: []

Contract-new-tokenizer-KR-FinBert

This model is a fine-tuned version of snunlp/KR-FinBert on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5876
  • Accuracy: 0.7153

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 249 0.5985 0.7153
No log 2.0 498 0.5903 0.7143
No log 3.0 747 0.5876 0.7153

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2