---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
model-index:
- name: LLAMA3-8BI-APPS
  results: []
datasets:
- codeparrot/apps
metrics:
- accuracy
- bleu
- rouge
pipeline_tag: text-generation
---

<!-- 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. -->

# LLAMA3-8BI-APPS

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1490

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9027        | 0.1   | 100  | 0.9320          |
| 0.8632        | 0.2   | 200  | 0.9143          |
| 0.8572        | 0.3   | 300  | 1.0150          |
| 0.937         | 0.4   | 400  | 1.0545          |
| 1.0336        | 0.5   | 500  | 1.1029          |
| 1.0056        | 0.6   | 600  | 1.1267          |
| 1.0125        | 0.7   | 700  | 1.1307          |
| 1.028         | 0.8   | 800  | 1.1398          |
| 1.0692        | 0.9   | 900  | 1.1482          |
| 1.0361        | 1.0   | 1000 | 1.1490          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2