---
base_model: meta-llama/Meta-Llama-3-8B
library_name: peft
license: llama3
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama3-8B-EIP-8bit-lora
  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. -->

# llama3-8B-EIP-8bit-lora

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5218

## 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: 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.4743        | 0.0433 | 100  | 1.7806          |
| 1.6838        | 0.0866 | 200  | 1.6540          |
| 1.6055        | 0.1299 | 300  | 1.6010          |
| 1.5809        | 0.1732 | 400  | 1.5646          |
| 1.5472        | 0.2165 | 500  | 1.5350          |
| 1.5206        | 0.2599 | 600  | 1.5218          |
| 1.5358        | 0.3032 | 700  | 1.5218          |
| 1.5102        | 0.3465 | 800  | 1.5218          |
| 1.552         | 0.3898 | 900  | 1.5218          |
| 1.5354        | 0.4331 | 1000 | 1.5218          |
| 1.5269        | 0.4764 | 1100 | 1.5218          |
| 1.5202        | 0.5197 | 1200 | 1.5218          |
| 1.5434        | 0.5630 | 1300 | 1.5218          |
| 1.5325        | 0.6063 | 1400 | 1.5218          |
| 1.5307        | 0.6496 | 1500 | 1.5218          |
| 1.5287        | 0.6929 | 1600 | 1.5218          |
| 1.5277        | 0.7362 | 1700 | 1.5218          |
| 1.5176        | 0.7796 | 1800 | 1.5218          |
| 1.5268        | 0.8229 | 1900 | 1.5218          |
| 1.5306        | 0.8662 | 2000 | 1.5218          |
| 1.5309        | 0.9095 | 2100 | 1.5218          |
| 1.5484        | 0.9528 | 2200 | 1.5218          |
| 1.51          | 0.9961 | 2300 | 1.5218          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.1.0a0+4136153
- Datasets 2.20.0
- Tokenizers 0.19.1