---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
- health
- medical
base_model: microsoft/phi-2
model-index:
- name: medical
  results: []
datasets:
- wangrongsheng/HealthCareMagic-100k-en
language:
- en
metrics:
- perplexity
- precision
- accuracy
- character
---

<!-- 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. -->

# medical

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.

## 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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 500

### Training results



### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1