---
license: llama2
base_model: codellama/CodeLlama-7b-Instruct-hf
tags:
- generated_from_trainer
model-index:
- name: codellamafinetune1
  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. -->

# codellamafinetune1

This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9399

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.688         | 1.0   | 1    | 2.7732          |
| 2.2839        | 2.0   | 2    | 2.2213          |
| 1.8066        | 3.0   | 3    | 1.9344          |
| 1.495         | 4.0   | 4    | 1.5703          |
| 1.1257        | 5.0   | 5    | 1.3163          |
| 0.8016        | 6.0   | 6    | 1.0887          |
| 0.5227        | 7.0   | 7    | 0.9648          |
| 0.3552        | 8.0   | 8    | 0.9399          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.13.3