---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: microsoft/Phi-3.5-mini-instruct
model-index:
- name: kangoroo-no-subgraph-phi-3-mini-LoRA
  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. -->

# kangoroo-no-subgraph-phi-3-mini-LoRA

This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co./microsoft/Phi-3.5-mini-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2338

## 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: 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.4504        | 0.2892 | 100  | 1.0894          |
| 0.8508        | 0.5785 | 200  | 0.6406          |
| 0.5328        | 0.8677 | 300  | 0.4493          |
| 0.4011        | 1.1569 | 400  | 0.3575          |
| 0.3328        | 1.4461 | 500  | 0.3085          |
| 0.291         | 1.7354 | 600  | 0.2769          |
| 0.2711        | 2.0246 | 700  | 0.2585          |
| 0.2494        | 2.3138 | 800  | 0.2453          |
| 0.2361        | 2.6030 | 900  | 0.2378          |
| 0.2348        | 2.8923 | 1000 | 0.2338          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1