---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
- name: fine-tuning-code_llama_lib_4
  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. -->

# fine-tuning-code_llama_lib_4

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: 0.1215

## 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: 5e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 15
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 60
- num_epochs: 11
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7737        | 1.0   | 63   | 0.6034          |
| 0.4194        | 2.0   | 126  | 0.3423          |
| 0.2123        | 3.0   | 189  | 0.2168          |
| 0.1542        | 4.0   | 252  | 0.1721          |
| 0.1343        | 5.0   | 315  | 0.1508          |
| 0.1224        | 6.0   | 378  | 0.1395          |
| 0.1141        | 7.0   | 441  | 0.1321          |
| 0.1075        | 8.0   | 504  | 0.1273          |
| 0.1028        | 9.0   | 567  | 0.1243          |
| 0.0993        | 10.0  | 630  | 0.1220          |
| 0.0973        | 11.0  | 693  | 0.1215          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2