|
--- |
|
base_model: unsloth/Meta-Llama-3.1-8B |
|
language: |
|
- en |
|
license: apache-2.0 |
|
tags: |
|
- text-generation-inference |
|
- transformers |
|
- unsloth |
|
- llama |
|
- trl |
|
- sft |
|
--- |
|
|
|
# MedGPT-Llama3.1-8B-v.1 |
|
|
|
- This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) on an dataset created by [Valerio Job](https://huggingface.co/valeriojob) 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-Llama3.1-8B-BA-v.1-GGUF](https://huggingface.co/valeriojob/MedGPT-Llama3.1-8B-BA-v.1-GGUF) that includes the quantized versions of this model in GGUF format. |
|
- This model was trained 2x faster with [Unsloth](https://github.com/unslothai/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](https://huggingface.co/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 | |
|
|:-------------:|:----:| |
|
| 1.793200 | 1 | |
|
| 1.635900 | 2 | |
|
| 1.493000 | 3 | |
|
| 1.227600 | 5 | |
|
| 0.640500 | 10 | |
|
| 0.438300 | 15 | |
|
| 0.370200 | 20 | |
|
| 0.205100 | 30 | |
|
| 0.094900 | 40 | |
|
| 0.068500 | 50 | |
|
| 0.059400 | 60 | |
|
|
|
## Licenses |
|
- **License:** apache-2.0 |
