---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-1_5
model-index:
- name: phi-1_5-finetuned-qlora-cluster-gsm8k-v2
  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-1_5-finetuned-qlora-cluster-gsm8k-v2

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9003

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0468        | 1.0   | 233  | 1.1314          |
| 0.9635        | 2.0   | 467  | 1.1069          |
| 0.9293        | 3.0   | 701  | 1.1129          |
| 0.8905        | 4.0   | 935  | 1.1269          |
| 0.8478        | 5.0   | 1168 | 1.1509          |
| 0.7686        | 6.0   | 1402 | 1.1727          |
| 0.7125        | 7.0   | 1636 | 1.2254          |
| 0.6637        | 8.0   | 1870 | 1.2571          |
| 0.6155        | 9.0   | 2103 | 1.3230          |
| 0.574         | 10.0  | 2337 | 1.3985          |
| 0.5273        | 11.0  | 2571 | 1.4532          |
| 0.451         | 12.0  | 2805 | 1.5160          |
| 0.4102        | 13.0  | 3038 | 1.5888          |
| 0.3802        | 14.0  | 3272 | 1.6469          |
| 0.3586        | 15.0  | 3506 | 1.6916          |
| 0.3391        | 16.0  | 3740 | 1.7576          |
| 0.3194        | 17.0  | 3973 | 1.7898          |
| 0.293         | 18.0  | 4207 | 1.8284          |
| 0.2815        | 19.0  | 4441 | 1.8460          |
| 0.2739        | 20.0  | 4675 | 1.8681          |
| 0.2693        | 21.0  | 4908 | 1.8821          |
| 0.2646        | 22.0  | 5142 | 1.8908          |
| 0.2614        | 23.0  | 5376 | 1.8954          |
| 0.2577        | 24.0  | 5610 | 1.8993          |
| 0.2566        | 24.92 | 5825 | 1.9003          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.37.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.15.1