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---
license: apache-2.0
base_model: EleutherAI/polyglot-ko-1.3b
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: reward-gpt-duplicate-answer-300
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-duplicate-answer-300
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: 0.1708
- 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: 10
- total_train_batch_size: 60
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2699 | 0.17 | 100 | 0.2734 | 0.0 |
| 0.2827 | 0.34 | 200 | 0.2311 | 0.0 |
| 0.2001 | 0.51 | 300 | 0.1920 | 0.0 |
| 0.1955 | 0.69 | 400 | 0.1799 | 0.0 |
| 0.1334 | 0.86 | 500 | 0.1708 | 0.0 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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