---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/Phi-3-mini-128k-instruct
model-index:
- name: working
  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. -->

# working

This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5929

## 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: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5322        | 0.86  | 3    | 2.4221          |
| 1.7321        | 2.0   | 7    | 1.6896          |
| 1.8073        | 2.86  | 10   | 1.3296          |
| 0.9839        | 4.0   | 14   | 0.8705          |
| 0.8891        | 4.86  | 17   | 0.6266          |
| 0.4628        | 6.0   | 21   | 0.4525          |
| 0.498         | 6.86  | 24   | 0.4093          |
| 0.3318        | 8.0   | 28   | 0.3812          |
| 0.396         | 8.86  | 31   | 0.3742          |
| 0.2809        | 10.0  | 35   | 0.3603          |
| 0.3487        | 10.86 | 38   | 0.3563          |
| 0.2479        | 12.0  | 42   | 0.3621          |
| 0.3085        | 12.86 | 45   | 0.3734          |
| 0.2225        | 14.0  | 49   | 0.3733          |
| 0.2716        | 14.86 | 52   | 0.3888          |
| 0.1899        | 16.0  | 56   | 0.4287          |
| 0.2319        | 16.86 | 59   | 0.4375          |
| 0.1594        | 18.0  | 63   | 0.4491          |
| 0.1928        | 18.86 | 66   | 0.4811          |
| 0.1307        | 20.0  | 70   | 0.5047          |
| 0.1577        | 20.86 | 73   | 0.5184          |
| 0.1077        | 22.0  | 77   | 0.5539          |
| 0.1333        | 22.86 | 80   | 0.5708          |
| 0.0922        | 24.0  | 84   | 0.5795          |
| 0.1167        | 24.86 | 87   | 0.5875          |
| 0.0818        | 25.71 | 90   | 0.5929          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2