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README.md
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---
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license: mit
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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: KcELECTRA-small-v2022-finetuned-in-vehicle
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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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# KcELECTRA-small-v2022-finetuned-in-vehicle
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This model is a fine-tuned version of [beomi/KcELECTRA-small-v2022](https://huggingface.co/beomi/KcELECTRA-small-v2022) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2620
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- Accuracy: 0.4033
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- F1: 0.2471
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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: 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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| 2.592 | 1.0 | 38 | 2.5666 | 0.18 | 0.0549 |
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| 2.5555 | 2.0 | 76 | 2.5247 | 0.19 | 0.0725 |
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| 2.5195 | 3.0 | 114 | 2.4783 | 0.3233 | 0.1821 |
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| 2.4729 | 4.0 | 152 | 2.4296 | 0.36 | 0.2079 |
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| 2.4326 | 5.0 | 190 | 2.3825 | 0.38 | 0.2220 |
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| 2.3876 | 6.0 | 228 | 2.3407 | 0.3967 | 0.2318 |
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| 2.3521 | 7.0 | 266 | 2.3069 | 0.3967 | 0.2331 |
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| 2.3246 | 8.0 | 304 | 2.2815 | 0.3967 | 0.2346 |
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| 2.3081 | 9.0 | 342 | 2.2669 | 0.4033 | 0.2468 |
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| 2.2913 | 10.0 | 380 | 2.2620 | 0.4033 | 0.2471 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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