---
base_model: microsoft/Phi-3-mini-4k-instruct
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: outputdir
  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. -->

# outputdir

This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2794

## 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: 1e-05
- 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: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.0506        | 0.0771 | 100  | 2.8512          |
| 2.4484        | 0.1542 | 200  | 1.7779          |
| 1.5032        | 0.2313 | 300  | 1.3608          |
| 1.3472        | 0.3085 | 400  | 1.3325          |
| 1.3304        | 0.3856 | 500  | 1.3195          |
| 1.3156        | 0.4627 | 600  | 1.3103          |
| 1.313         | 0.5398 | 700  | 1.3038          |
| 1.2976        | 0.6169 | 800  | 1.2991          |
| 1.3001        | 0.6940 | 900  | 1.2956          |
| 1.2976        | 0.7712 | 1000 | 1.2927          |
| 1.2902        | 0.8483 | 1100 | 1.2907          |
| 1.2831        | 0.9254 | 1200 | 1.2888          |
| 1.2839        | 1.0025 | 1300 | 1.2874          |
| 1.2792        | 1.0796 | 1400 | 1.2860          |
| 1.295         | 1.1567 | 1500 | 1.2845          |
| 1.287         | 1.2339 | 1600 | 1.2838          |
| 1.2831        | 1.3110 | 1700 | 1.2831          |
| 1.2764        | 1.3881 | 1800 | 1.2821          |
| 1.2836        | 1.4652 | 1900 | 1.2815          |
| 1.2844        | 1.5423 | 2000 | 1.2810          |
| 1.2791        | 1.6194 | 2100 | 1.2804          |
| 1.2869        | 1.6965 | 2200 | 1.2799          |
| 1.2814        | 1.7737 | 2300 | 1.2798          |
| 1.2775        | 1.8508 | 2400 | 1.2796          |
| 1.2837        | 1.9279 | 2500 | 1.2794          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1