---
license: apache-2.0
base_model: EleutherAI/polyglot-ko-12.8b
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: gridone-ko-llm-12.8b-v1.1c
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gridone-ko-llm-12.8b-v1.1c

This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2510
- Accuracy: 0.5584

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8881        | 1.0   | 142  | 1.8030          | 0.5852   |
| 1.0326        | 2.0   | 284  | 1.9793          | 0.5737   |
| 0.2979        | 3.0   | 426  | 2.4751          | 0.5582   |
| 0.0966        | 4.0   | 568  | 2.7332          | 0.5603   |
| 0.0519        | 5.0   | 710  | 2.9102          | 0.5593   |
| 0.0211        | 6.0   | 852  | 3.0963          | 0.5566   |
| 0.0038        | 7.0   | 994  | 3.1967          | 0.5585   |
| 0.0028        | 8.0   | 1136 | 3.2510          | 0.5584   |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3