metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: KcELECTRA-small-v2022-finetuned-in-vehicle
results: []
KcELECTRA-small-v2022-finetuned-in-vehicle
This model is a fine-tuned version of beomi/KcELECTRA-small-v2022 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2620
- Accuracy: 0.4033
- F1: 0.2471
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 2.592 | 1.0 | 38 | 2.5666 | 0.18 | 0.0549 |
| 2.5555 | 2.0 | 76 | 2.5247 | 0.19 | 0.0725 |
| 2.5195 | 3.0 | 114 | 2.4783 | 0.3233 | 0.1821 |
| 2.4729 | 4.0 | 152 | 2.4296 | 0.36 | 0.2079 |
| 2.4326 | 5.0 | 190 | 2.3825 | 0.38 | 0.2220 |
| 2.3876 | 6.0 | 228 | 2.3407 | 0.3967 | 0.2318 |
| 2.3521 | 7.0 | 266 | 2.3069 | 0.3967 | 0.2331 |
| 2.3246 | 8.0 | 304 | 2.2815 | 0.3967 | 0.2346 |
| 2.3081 | 9.0 | 342 | 2.2669 | 0.4033 | 0.2468 |
| 2.2913 | 10.0 | 380 | 2.2620 | 0.4033 | 0.2471 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2