---
license: llama2
base_model: codellama/CodeLlama-34b-Instruct-hf
tags:
- trl
- sft
- unsloth
- generated_from_trainer
datasets:
- generator
model-index:
- name: CodeLlama-34b-Instruct-Shader-hf
  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. -->

# CodeLlama-34b-Instruct-Shader-hf

This model is a fine-tuned version of [codellama/CodeLlama-34b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7792

## 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: 0.0025
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3476        | 0.25  | 1000 | 1.3561          |
| 1.3274        | 0.49  | 2000 | 1.1683          |
| 1.1964        | 0.74  | 3000 | 1.0129          |
| 0.8117        | 0.98  | 4000 | 0.9106          |
| 0.5179        | 1.23  | 5000 | 0.8560          |
| 0.7726        | 1.48  | 6000 | 0.8096          |
| 0.7396        | 1.72  | 7000 | 0.7855          |
| 0.6125        | 1.97  | 8000 | 0.7792          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2