---
license: apache-2.0
base_model: yanolja/EEVE-Korean-Instruct-2.8B-v1.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: eeve-2.8B_B_Ep5
  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. -->

# eeve-2.8B_B_Ep5

This model is a fine-tuned version of [yanolja/EEVE-Korean-Instruct-2.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-2.8B-v1.0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3906

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 48
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2641        | 1.0   | 291  | 0.3688          |
| 0.2126        | 2.0   | 582  | 0.3755          |
| 0.2068        | 3.0   | 873  | 0.3827          |
| 0.1707        | 4.0   | 1164 | 0.3873          |
| 0.1684        | 5.0   | 1455 | 0.3906          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1