albert / README.md
jiiyy's picture
update model card README.md
d051186
metadata
base_model: kykim/albert-kor-base
tags:
  - generated_from_trainer
datasets:
  - nsmc
metrics:
  - accuracy
model-index:
  - name: electra2
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: nsmc
          type: nsmc
          config: default
          split: test
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.89276

electra2

This model is a fine-tuned version of kykim/albert-kor-base on the nsmc dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3037
  • Accuracy: 0.8928

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-06
  • 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: cosine
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2815 1.0 9375 0.2801 0.8863
0.2329 2.0 18750 0.2705 0.8920
0.1949 3.0 28125 0.3037 0.8928

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3