|
--- |
|
license: cc-by-nc-sa-4.0 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: madatnlp/sk-kogptv2-kormath-causal |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
# madatnlp/sk-kogptv2-kormath-causal |
|
|
|
This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.3184 |
|
- Validation Loss: 1.4046 |
|
- Epoch: 15 |
|
|
|
## 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: |
|
- optimizer: {'name': 'Adam', 'learning_rate': 2.2999999e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 2.7142 | 1.8683 | 0 | |
|
| 1.6077 | 1.4417 | 1 | |
|
| 1.2458 | 1.3161 | 2 | |
|
| 1.0396 | 1.2704 | 3 | |
|
| 0.8848 | 1.2818 | 4 | |
|
| 0.7634 | 1.2579 | 5 | |
|
| 0.6699 | 1.2724 | 6 | |
|
| 0.5948 | 1.2718 | 7 | |
|
| 0.5306 | 1.3300 | 8 | |
|
| 0.4832 | 1.3377 | 9 | |
|
| 0.4401 | 1.3038 | 10 | |
|
| 0.4053 | 1.3622 | 11 | |
|
| 0.3782 | 1.3577 | 12 | |
|
| 0.3550 | 1.3696 | 13 | |
|
| 0.3347 | 1.3682 | 14 | |
|
| 0.3184 | 1.4046 | 15 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.19.1 |
|
- TensorFlow 2.8.0 |
|
- Datasets 2.2.1 |
|
- Tokenizers 0.12.1 |
|
|