---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: microsoft/Phi-3-mini-4k-instruct
model-index:
- name: phi-3-mini-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. -->

[<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/dhanishetty-personaluse/huggingface/runs/pk59idfs)
# phi-3-mini-LoRA

This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4568

## Platform - *** Trained on Local System ***

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9625        | 0.2022 | 100  | 0.9498          |
| 0.625         | 0.4044 | 200  | 0.6202          |
| 0.4719        | 0.6067 | 300  | 0.4961          |
| 0.4938        | 0.8089 | 400  | 0.4806          |
| 0.4594        | 1.0111 | 500  | 0.4738          |
| 0.4594        | 1.2133 | 600  | 0.4692          |
| 0.4625        | 1.4156 | 700  | 0.4658          |
| 0.45          | 1.6178 | 800  | 0.4635          |
| 0.5062        | 1.8200 | 900  | 0.4613          |
| 0.425         | 2.0222 | 1000 | 0.4600          |
| 0.4781        | 2.2245 | 1100 | 0.4588          |
| 0.4625        | 2.4267 | 1200 | 0.4580          |
| 0.4625        | 2.6289 | 1300 | 0.4571          |
| 0.4594        | 2.8311 | 1400 | 0.4568          |


### Framework versions

- PEFT 0.11.2.dev0
- Transformers 4.42.3
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1