---
license: other
base_model: microsoft/phi-2
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrachat_200k
model-index:
- name: phi-sft-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. -->

# phi-sft-lora

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the HuggingFaceH4/ultrachat_200k dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2210

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.1971        | 0.05  | 10000  | 1.2409          |
| 1.1911        | 0.1   | 20000  | 1.2349          |
| 1.4103        | 0.14  | 30000  | 1.2317          |
| 1.192         | 0.19  | 40000  | 1.2295          |
| 1.4831        | 0.24  | 50000  | 1.2275          |
| 1.2857        | 0.29  | 60000  | 1.2266          |
| 1.014         | 0.34  | 70000  | 1.2256          |
| 1.2777        | 0.38  | 80000  | 1.2251          |
| 0.9019        | 0.43  | 90000  | 1.2241          |
| 1.1926        | 0.48  | 100000 | 1.2235          |
| 1.2298        | 0.53  | 110000 | 1.2233          |
| 1.1102        | 0.58  | 120000 | 1.2228          |
| 1.3166        | 0.63  | 130000 | 1.2219          |
| 1.1452        | 0.67  | 140000 | 1.2217          |
| 1.308         | 0.72  | 150000 | 1.2217          |
| 0.9096        | 0.77  | 160000 | 1.2215          |
| 1.2817        | 0.82  | 170000 | 1.2211          |
| 1.2904        | 0.87  | 180000 | 1.2211          |
| 0.9066        | 0.91  | 190000 | 1.2210          |
| 1.1807        | 0.96  | 200000 | 1.2210          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1