---
library_name: peft
base_model: mohammedbriman/llama-2-7b-chat-turkish-instructions
tags:
- base_model:adapter:mohammedbriman/llama-2-7b-chat-turkish-instructions
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: V2_LLAMA2
  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. -->

# V2_LLAMA2

This model is a fine-tuned version of [mohammedbriman/llama-2-7b-chat-turkish-instructions](https://huggingface.co/mohammedbriman/llama-2-7b-chat-turkish-instructions) on the None dataset.

## 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: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1