---
base_model: microsoft/Phi-3-mini-4k-instruct
library_name: peft
license: other
metrics:
- accuracy
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: 2024-09-12_16:02
  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. -->

# 2024-09-12_16:02

This model is a fine-tuned version of [./models//microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/./models//microsoft/Phi-3-mini-4k-instruct) on the coding dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5729
- Accuracy: 0.5958

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.5967        | 0.0356 | 4    | 1.5761          | 0.5944   |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1