|
--- |
|
license: cc-by-nc-sa-4.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- klue |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: kogpt2-base-v2-8-finetuned-klue-ner |
|
results: |
|
- task: |
|
name: Token Classification |
|
type: token-classification |
|
dataset: |
|
name: klue |
|
type: klue |
|
config: ner |
|
split: validation |
|
args: ner |
|
metrics: |
|
- name: F1 |
|
type: f1 |
|
value: 0.5291977940313686 |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# kogpt2-base-v2-8-finetuned-klue-ner |
|
|
|
This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on the klue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5168 |
|
- F1: 0.5292 |
|
|
|
## 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: 24 |
|
- eval_batch_size: 24 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 8 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.6242 | 1.0 | 876 | 0.5671 | 0.3289 | |
|
| 0.4158 | 2.0 | 1752 | 0.5766 | 0.3565 | |
|
| 0.3305 | 3.0 | 2628 | 0.4438 | 0.4400 | |
|
| 0.266 | 4.0 | 3504 | 0.4983 | 0.4341 | |
|
| 0.2231 | 5.0 | 4380 | 0.4501 | 0.4778 | |
|
| 0.1845 | 6.0 | 5256 | 0.4614 | 0.5056 | |
|
| 0.151 | 7.0 | 6132 | 0.4946 | 0.5263 | |
|
| 0.1247 | 8.0 | 7008 | 0.5168 | 0.5292 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.1 |
|
- Pytorch 2.0.0+cu118 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
