AI for All commited on
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update model card README.md
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README.md
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---
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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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model-index:
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- name: causal_classifier_base_2025b
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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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# causal_classifier_base_2025b
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This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6842
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- Accuracy: 0.9226
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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: 84
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- eval_batch_size: 84
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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: 50
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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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| 0.6451 | 1.0 | 677 | 0.3905 | 0.8486 |
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| 0.4548 | 2.0 | 1354 | 0.3248 | 0.8786 |
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| 0.333 | 3.0 | 2031 | 0.3132 | 0.8862 |
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| 0.2618 | 4.0 | 2708 | 0.2855 | 0.9133 |
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| 0.2271 | 5.0 | 3385 | 0.3195 | 0.8981 |
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| 0.169 | 6.0 | 4062 | 0.3678 | 0.8926 |
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| 0.1417 | 7.0 | 4739 | 0.3716 | 0.9044 |
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| 0.1325 | 8.0 | 5416 | 0.3965 | 0.9031 |
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| 0.1056 | 9.0 | 6093 | 0.4048 | 0.9116 |
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| 0.0914 | 10.0 | 6770 | 0.4088 | 0.9095 |
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| 0.085 | 11.0 | 7447 | 0.4272 | 0.9192 |
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| 0.0709 | 12.0 | 8124 | 0.4835 | 0.9074 |
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| 0.0657 | 13.0 | 8801 | 0.4501 | 0.9129 |
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| 0.0633 | 14.0 | 9478 | 0.4913 | 0.9082 |
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| 0.0518 | 15.0 | 10155 | 0.4659 | 0.9188 |
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| 0.05 | 16.0 | 10832 | 0.5005 | 0.9095 |
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| 0.0438 | 17.0 | 11509 | 0.5048 | 0.9146 |
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| 0.0391 | 18.0 | 12186 | 0.5279 | 0.9133 |
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| 0.0363 | 19.0 | 12863 | 0.5297 | 0.9078 |
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| 0.0366 | 20.0 | 13540 | 0.5633 | 0.9069 |
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| 0.0308 | 21.0 | 14217 | 0.5911 | 0.9124 |
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| 0.0294 | 22.0 | 14894 | 0.5519 | 0.9167 |
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| 0.0282 | 23.0 | 15571 | 0.6248 | 0.9133 |
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| 0.0223 | 24.0 | 16248 | 0.5584 | 0.9150 |
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| 0.0241 | 25.0 | 16925 | 0.6267 | 0.9095 |
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| 0.0213 | 26.0 | 17602 | 0.6172 | 0.9129 |
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| 0.0197 | 27.0 | 18279 | 0.6328 | 0.9133 |
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| 0.0186 | 28.0 | 18956 | 0.6634 | 0.9103 |
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| 0.0158 | 29.0 | 19633 | 0.6469 | 0.9171 |
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| 0.0155 | 30.0 | 20310 | 0.6782 | 0.9150 |
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| 0.0131 | 31.0 | 20987 | 0.6496 | 0.9192 |
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| 0.0119 | 32.0 | 21664 | 0.6960 | 0.9158 |
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| 0.0102 | 33.0 | 22341 | 0.6467 | 0.9179 |
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| 0.0107 | 34.0 | 23018 | 0.6842 | 0.9226 |
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| 0.0119 | 35.0 | 23695 | 0.6582 | 0.9222 |
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| 0.011 | 36.0 | 24372 | 0.6287 | 0.9188 |
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| 0.0085 | 37.0 | 25049 | 0.6915 | 0.9192 |
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| 0.0074 | 38.0 | 25726 | 0.7071 | 0.9179 |
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| 0.0075 | 39.0 | 26403 | 0.6916 | 0.9192 |
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| 0.0069 | 40.0 | 27080 | 0.6898 | 0.9141 |
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| 0.0065 | 41.0 | 27757 | 0.7014 | 0.9184 |
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| 0.0069 | 42.0 | 28434 | 0.7259 | 0.9171 |
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| 0.0045 | 43.0 | 29111 | 0.7370 | 0.9192 |
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| 0.0041 | 44.0 | 29788 | 0.7312 | 0.9192 |
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| 0.0055 | 45.0 | 30465 | 0.7397 | 0.9196 |
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| 0.0034 | 46.0 | 31142 | 0.7590 | 0.9201 |
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| 0.0033 | 47.0 | 31819 | 0.7592 | 0.9184 |
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| 0.003 | 48.0 | 32496 | 0.7662 | 0.9201 |
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| 0.0033 | 49.0 | 33173 | 0.7650 | 0.9209 |
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| 0.0033 | 50.0 | 33850 | 0.7634 | 0.9217 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.4.0+cu124
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- Datasets 2.21.0
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- Tokenizers 0.13.3
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