---
license: llama2
base_model: codellama/CodeLlama-7b-hf
pipeline_tag: text-generation
tags:
- generated_from_trainer
model-index:
- name: yaml-generator-code-llama
  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. -->

# yaml-generator-code-llama

This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2591

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 400

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2925        | 20.0  | 20   | 1.2292          |
| 0.2156        | 40.0  | 40   | 0.9743          |
| 0.07          | 60.0  | 60   | 1.4266          |
| 0.007         | 80.0  | 80   | 2.0256          |
| 0.0041        | 100.0 | 100  | 1.9838          |
| 0.0015        | 120.0 | 120  | 2.0320          |
| 0.0012        | 140.0 | 140  | 2.0818          |
| 0.0012        | 160.0 | 160  | 2.1403          |
| 0.0012        | 180.0 | 180  | 2.1771          |
| 0.0012        | 200.0 | 200  | 2.1751          |
| 0.0012        | 220.0 | 220  | 2.1825          |
| 0.0012        | 240.0 | 240  | 2.2240          |
| 0.0012        | 260.0 | 260  | 2.2226          |
| 0.0012        | 280.0 | 280  | 2.2172          |
| 0.0012        | 300.0 | 300  | 2.2235          |
| 0.0012        | 320.0 | 320  | 2.2202          |
| 0.0012        | 340.0 | 340  | 2.2471          |
| 0.0012        | 360.0 | 360  | 2.2475          |
| 0.0012        | 380.0 | 380  | 2.2709          |
| 0.0012        | 400.0 | 400  | 2.2591          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1