ai.keepit / README.md
nahyeonkang's picture
update model card README.md
0051261
metadata
license: apache-2.0
base_model: beomi/kcbert-base
tags:
  - generated_from_trainer
datasets:
  - nsmc
metrics:
  - accuracy
model-index:
  - name: ai.keepit
    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: 0.90204

ai.keepit

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

  • Loss: 0.3046
  • Accuracy: 0.9020

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
0.2715 1.0 9375 0.2604 0.8957
0.2137 2.0 18750 0.2677 0.9003
0.1655 3.0 28125 0.3046 0.9020

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.3
  • Tokenizers 0.13.3