---
license: apache-2.0
base_model: EleutherAI/polyglot-ko-1.3b
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: reward-gpt-b6
  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. -->

# reward-gpt-b6

This model is a fine-tuned version of [EleutherAI/polyglot-ko-1.3b](https://huggingface.co/EleutherAI/polyglot-ko-1.3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1224
- Accuracy: 0.0

## 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: 9e-06
- train_batch_size: 6
- eval_batch_size: 6
- seed: 2023
- gradient_accumulation_steps: 5
- total_train_batch_size: 30
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.124         | 0.07  | 500  | 0.1345          | 0.0      |
| 0.1732        | 0.14  | 1000 | 0.1297          | 0.0      |
| 0.1023        | 0.21  | 1500 | 0.1116          | 0.0      |
| 0.0386        | 0.29  | 2000 | 0.1426          | 0.0      |
| 0.0716        | 0.36  | 2500 | 0.1119          | 0.0      |
| 0.0655        | 0.43  | 3000 | 0.1272          | 0.0      |
| 0.0725        | 0.5   | 3500 | 0.0958          | 0.0      |
| 0.0759        | 0.57  | 4000 | 0.0975          | 0.0      |
| 0.061         | 0.64  | 4500 | 0.1277          | 0.0      |
| 0.0804        | 0.71  | 5000 | 0.1055          | 0.0      |
| 0.0886        | 0.78  | 5500 | 0.1099          | 0.0      |
| 0.0591        | 0.86  | 6000 | 0.1273          | 0.0      |
| 0.0424        | 0.93  | 6500 | 0.1212          | 0.0      |
| 0.122         | 1.0   | 7000 | 0.1224          | 0.0      |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1