---
base_model: microsoft/Phi-3.5-mini-instruct
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: outputs
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/josh-longenecker1-groundedai/phi3.5-hallucination/runs/re0kg3gs)
# outputs

This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3147

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.2594        | 0.5263 | 5    | 2.2572          |
| 1.6785        | 1.0526 | 10   | 1.8170          |
| 1.6015        | 1.5789 | 15   | 1.4296          |
| 1.0556        | 2.1053 | 20   | 1.1199          |
| 0.9412        | 2.6316 | 25   | 1.0660          |
| 0.8872        | 3.1579 | 30   | 1.0523          |
| 0.9157        | 3.6842 | 35   | 1.0713          |
| 0.7735        | 4.2105 | 40   | 1.0983          |
| 0.6182        | 4.7368 | 45   | 1.0816          |
| 0.734         | 5.2632 | 50   | 1.1017          |
| 0.4736        | 5.7895 | 55   | 1.2109          |
| 0.3138        | 6.3158 | 60   | 1.2195          |
| 0.5315        | 6.8421 | 65   | 1.3147          |


### Framework versions

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