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--- |
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library_name: transformers |
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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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- HHD |
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- 10_class |
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- multi_labels |
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- generated_from_trainer |
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model-index: |
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- name: bert_model_out |
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results: [] |
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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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# bert_model_out |
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This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the unsmile_data dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2393 |
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- Lrap: 0.8715 |
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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: 2e-05 |
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Lrap | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.0202 | 1.0 | 938 | 0.2017 | 0.8627 | |
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| 0.0157 | 2.0 | 1876 | 0.2041 | 0.8702 | |
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| 0.0112 | 3.0 | 2814 | 0.2157 | 0.8713 | |
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| 0.0055 | 4.0 | 3752 | 0.2221 | 0.8730 | |
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| 0.0039 | 5.0 | 4690 | 0.2327 | 0.8715 | |
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| 0.0035 | 6.0 | 5628 | 0.2384 | 0.8722 | |
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| 0.0024 | 7.0 | 6566 | 0.2393 | 0.8715 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.0 |
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- Tokenizers 0.21.0 |
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