---
base_model: google/gemma-2-2b
library_name: peft
license: gemma
tags:
- trl
- sft
- generated_from_trainer
- medical
model-index:
- name: Gemma-2-2b-it-medical
  results: []
datasets:
- ruslanmv/ai-medical-chatbot
---

<!-- 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. -->

# Gemma-2-2b-it-medical

This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an [ai-medical-chatbot dataset](https://huggingface.co/datasets/ruslanmv/ai-medical-chatbot) .

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP

### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1