---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
- name: codellama-7b-openapi-completion-ctx-lvl-prmt
  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. -->

[<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/bohdan-petryshyn/huggingface/runs/5ussv3qq)
# codellama-7b-openapi-completion-ctx-lvl-prmt

This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3210

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2732        | 0.1   | 100  | 0.3538          |
| 0.3278        | 0.2   | 200  | 0.3442          |
| 0.2121        | 0.3   | 300  | 0.3424          |
| 0.1887        | 0.4   | 400  | 0.3349          |
| 0.1218        | 0.5   | 500  | 0.3509          |
| 0.0896        | 0.6   | 600  | 0.3503          |
| 0.3471        | 0.7   | 700  | 0.3320          |
| 0.2532        | 0.8   | 800  | 0.3259          |
| 0.21          | 0.9   | 900  | 0.3226          |
| 0.2608        | 1.0   | 1000 | 0.3210          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1