| --- |
| 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 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # ai.keepit |
|
|
| This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/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 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.31.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.3 |
| - Tokenizers 0.13.3 |
|
|
