metadata
base_model: unsloth/gemma-2-9b
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
MedGPT-Gemma2-9B-v.1
- This model is a fine-tuned version of unsloth/gemma-2-9b on an dataset created by Valerio Job together with GPs based on real medical data.
- Version 1 (v.1) of MedGPT is the very first version of MedGPT and the training dataset has been kept simple and small with only 60 examples.
- This repo includes the 16bit format of the model as well as the LoRA adapters of the model. There is a separate repo called valeriojob/MedGPT-Gemma2-9B-BA-v.1-GGUF that includes the quantized versions of this model in GGUF format.
- This model was trained 2x faster with Unsloth and Huggingface's TRL library.
Model description
This model acts as a supplementary assistance to GPs helping them in medical and admin tasks.
Intended uses & limitations
The fine-tuned model should not be used in production! This model has been created as a initial prototype in the context of a bachelor thesis.
Training and evaluation data
The dataset (train and test) used for fine-tuning this model can be found here: datasets/valeriojob/BA-v.1
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- per_device_train_batch_size = 2,
- gradient_accumulation_steps = 4,
- warmup_steps = 5,
- max_steps = 60,
- learning_rate = 2e-4,
- fp16 = not is_bfloat16_supported(),
- bf16 = is_bfloat16_supported(),
- logging_steps = 1,
- optim = "adamw_8bit",
- weight_decay = 0.01,
- lr_scheduler_type = "linear",
- seed = 3407,
- output_dir = "outputs"
Training results
| Training Loss | Step |
|---|---|
| 2.237900 | 1 |
| 2.292200 | 2 |
| 2.215200 | 3 |
| 1.561200 | 5 |
| 0.584500 | 10 |
| 0.372500 | 15 |
| 0.258600 | 20 |
| 0.126300 | 30 |
| 0.064100 | 40 |
| 0.040800 | 50 |
| 0.045700 | 60 |
Licenses
- License: apache-2.0