---
license: llama2
base_model: codellama/CodeLlama-13b-Instruct-hf
tags:
- trl
- sft
- unsloth
- generated_from_trainer
- unsloth
datasets:
- generator
model-index:
- name: ShaderLLM-CodeLlama-13b-it
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ShaderLLM-CodeLlama-13b-it

This model is a fine-tuned version of [codellama/CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7616

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5616        | 0.24  | 1000 | 1.2367          |
| 1.0239        | 0.49  | 2000 | 1.0618          |
| 0.9445        | 0.73  | 3000 | 0.9659          |
| 1.0534        | 0.98  | 4000 | 0.8703          |
| 0.653         | 1.22  | 5000 | 0.8155          |
| 0.6389        | 1.46  | 6000 | 0.7856          |
| 0.6987        | 1.71  | 7000 | 0.7670          |
| 0.6333        | 1.95  | 8000 | 0.7616          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2