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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: 0.1559 |
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- Irap: 0.8744 |
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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: 64 |
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- eval_batch_size: 64 |
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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 | Irap | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 235 | 0.1296 | 0.8701 | |
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| No log | 2.0 | 470 | 0.1274 | 0.8754 | |
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| 0.0982 | 3.0 | 705 | 0.1324 | 0.8759 | |
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| 0.0982 | 4.0 | 940 | 0.1410 | 0.8762 | |
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| 0.0497 | 5.0 | 1175 | 0.1475 | 0.8770 | |
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| 0.0497 | 6.0 | 1410 | 0.1530 | 0.8731 | |
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| 0.028 | 7.0 | 1645 | 0.1559 | 0.8744 | |
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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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