---
base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
library_name: peft
license: llama3.1
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: meta-llama-Meta-Llama-3.1-8B-Instruct_SFT_E1_D10001
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nicola-er-ho/clembench-playpen-sft/runs/rk7joyu8)
# meta-llama-Meta-Llama-3.1-8B-Instruct_SFT_E1_D10001

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct model using unsloth.

## Model description

The Model is trained on all successful episodes of the clembench-benchmark versions 0.9 and 1.0.
The Dataset contains approximately 3700 Successfully player episodes of all non-multi-modal games

## Training and evaluation data

Dataset: D10001

## Training procedure
One Episode QLoRa Finetuning with 4bit quantization

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 7331
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 5
- num_epochs: 1

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1