metadata
license: cc-by-sa-4.0
base_model: klue/bert-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine-tuned-KoreanIndoNLI-KorNLI-with-bert-base
results: []
fine-tuned-KoreanIndoNLI-KorNLI-with-bert-base
This model is a fine-tuned version of klue/bert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4897
- Accuracy: 0.8032
- F1: 0.8034
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|---|
| 0.5126 | 0.5 | 3654 | 0.5759 | 0.7522 | 0.7552 |
| 0.4707 | 1.0 | 7308 | 0.5278 | 0.7828 | 0.7845 |
| 0.4301 | 1.5 | 10962 | 0.4908 | 0.8006 | 0.8010 |
| 0.4223 | 2.0 | 14616 | 0.4839 | 0.8051 | 0.8059 |
| 0.3922 | 2.5 | 18270 | 0.4916 | 0.8038 | 0.8051 |
| 0.3923 | 3.0 | 21924 | 0.4832 | 0.8051 | 0.8052 |
| 0.339 | 3.5 | 25578 | 0.4897 | 0.8032 | 0.8034 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3