metadata
library_name: transformers
base_model: monologg/koelectra-small-finetuned-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: koelectra_emotion_v2_2
results: []
koelectra_emotion_v2_2
This model is a fine-tuned version of monologg/koelectra-small-finetuned-sentiment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4392
- Accuracy: 0.5249
- F1: 0.5227
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.8251 | 1.0 | 601 | 1.7175 | 0.3130 | 0.2585 |
| 1.6569 | 2.0 | 1202 | 1.5616 | 0.4007 | 0.3821 |
| 1.5086 | 3.0 | 1803 | 1.4698 | 0.4397 | 0.4258 |
| 1.4099 | 4.0 | 2404 | 1.4268 | 0.4661 | 0.4592 |
| 1.3318 | 5.0 | 3005 | 1.3885 | 0.4779 | 0.4770 |
| 1.2688 | 6.0 | 3606 | 1.3679 | 0.4927 | 0.4849 |
| 1.2213 | 7.0 | 4207 | 1.3497 | 0.5071 | 0.5015 |
| 1.1756 | 8.0 | 4808 | 1.3405 | 0.5144 | 0.5099 |
| 1.1328 | 9.0 | 5409 | 1.3548 | 0.5162 | 0.5125 |
| 1.0964 | 10.0 | 6010 | 1.3864 | 0.5151 | 0.5081 |
| 1.0675 | 11.0 | 6611 | 1.3606 | 0.5198 | 0.5162 |
| 1.0368 | 12.0 | 7212 | 1.3719 | 0.5195 | 0.5170 |
| 1.0044 | 13.0 | 7813 | 1.3695 | 0.5256 | 0.5222 |
| 0.9808 | 14.0 | 8414 | 1.3896 | 0.5216 | 0.5196 |
| 0.9554 | 15.0 | 9015 | 1.4033 | 0.5228 | 0.5192 |
| 0.9307 | 16.0 | 9616 | 1.4135 | 0.5247 | 0.5236 |
| 0.9131 | 17.0 | 10217 | 1.4193 | 0.5198 | 0.5181 |
| 0.8969 | 18.0 | 10818 | 1.4259 | 0.5276 | 0.5243 |
| 0.8825 | 19.0 | 11419 | 1.4385 | 0.5245 | 0.5224 |
| 0.8779 | 20.0 | 12020 | 1.4392 | 0.5249 | 0.5227 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0