---
library_name: peft
license: other
base_model: microsoft/Phi-3.5-mini-instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_2024-11-18_128_256_01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# train_2024-11-18_128_256_01

This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on the mydata14 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2.0

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3