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--- |
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license: apache-2.0 |
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base_model: beomi/kcbert-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- nsmc |
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metrics: |
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- accuracy |
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model-index: |
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- name: ai.keepit |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: nsmc |
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type: nsmc |
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config: default |
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split: test |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.90204 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ai.keepit |
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This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the nsmc dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3046 |
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- Accuracy: 0.9020 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.2715 | 1.0 | 9375 | 0.2604 | 0.8957 | |
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| 0.2137 | 2.0 | 18750 | 0.2677 | 0.9003 | |
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| 0.1655 | 3.0 | 28125 | 0.3046 | 0.9020 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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