|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: v0.2 |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# v0.2 |
|
|
|
This model is a fine-tuned version of [EleutherAI/polyglot-ko-5.8b](https://huggingface.co/EleutherAI/polyglot-ko-5.8b) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.2277 |
|
- Accuracy: 0.4969 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 2.2287 | 0.5 | 22 | 2.4602 | 0.4882 | |
|
| 2.0297 | 1.0 | 44 | 2.3277 | 0.4913 | |
|
| 1.0888 | 1.5 | 66 | 2.4852 | 0.4976 | |
|
| 0.894 | 2.0 | 88 | 2.5449 | 0.4961 | |
|
| 0.2617 | 2.5 | 110 | 3.0394 | 0.4882 | |
|
| 0.2666 | 3.0 | 132 | 3.0984 | 0.4984 | |
|
| 0.1301 | 3.5 | 154 | 3.2467 | 0.4858 | |
|
| 0.1429 | 4.0 | 176 | 3.1169 | 0.4913 | |
|
| 0.092 | 4.5 | 198 | 3.2166 | 0.4961 | |
|
| 0.035 | 5.0 | 220 | 3.2277 | 0.4969 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.29.2 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
