---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: beomi/llama-2-ko-7b
model-index:
- name: FineTunedllema_nada
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# FineTunedllema_nada

This model is a fine-tuned version of [beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8265

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9417        | 1.0   | 112  | 0.8217          |
| 0.7246        | 2.0   | 225  | 0.7960          |
| 0.5382        | 2.99  | 336  | 0.8265          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2