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--- |
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license: cc-by-sa-4.0 |
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base_model: klue/bert-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: hana-persona-emotion-bert-finetuning-1 |
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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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# hana-persona-emotion-bert-finetuning-1 |
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This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5912 |
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- Accuracy: 0.7882 |
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- F1: 0.7869 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
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| 0.5768 | 1.0 | 2284 | 0.5723 | 0.7762 | 0.7712 | |
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| 0.451 | 2.0 | 4568 | 0.5570 | 0.7955 | 0.7909 | |
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| 0.3514 | 3.0 | 6852 | 0.6058 | 0.7843 | 0.7819 | |
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| 0.2273 | 4.0 | 9136 | 0.7584 | 0.7916 | 0.7887 | |
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| 0.1727 | 5.0 | 11420 | 0.9155 | 0.7873 | 0.7877 | |
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| 0.1271 | 6.0 | 13704 | 1.0717 | 0.7882 | 0.7883 | |
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| 0.0983 | 7.0 | 15988 | 1.2988 | 0.7819 | 0.7830 | |
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| 0.0618 | 8.0 | 18272 | 1.4363 | 0.7862 | 0.7838 | |
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| 0.0408 | 9.0 | 20556 | 1.5631 | 0.7839 | 0.7827 | |
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| 0.0223 | 10.0 | 22840 | 1.5912 | 0.7882 | 0.7869 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.2.0 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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