---
base_model: unsloth/Phi-3-mini-4k-instruct-bnb-4bit
library_name: peft
license: mit
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: Phi-3-mini-alpaca
  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. -->

# Phi-3-mini-alpaca

This model is a fine-tuned version of [unsloth/Phi-3-mini-4k-instruct-bnb-4bit](https://huggingface.co/unsloth/Phi-3-mini-4k-instruct-bnb-4bit) on an unknown dataset.

## 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: 4
- eval_batch_size: 8
- seed: 4131
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 1000

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.43.2
- Pytorch 2.3.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1