metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - nsmc
metrics:
  - accuracy
base_model: beomi/kcbert-base
model-index:
  - name: my_doccls_korean_model
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: nsmc
          type: nsmc
          config: default
          split: test
          args: default
        metrics:
          - type: accuracy
            value: 0.90372
            name: Accuracy

my_doccls_korean_model

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: 0.2942
Accuracy: 0.9037

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.267	1.0	2344	0.2482	0.8987
0.1751	2.0	4688	0.2523	0.9024
0.1108	3.0	7032	0.2942	0.9037

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3