peft safetensors llama-factory lora generated_from_trainer base_model:abacusai/Smaug-34B-v0.1 license:other region:us
---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: abacusai/Smaug-34B-v0.1
model-index:
- name: model-update
  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. -->

# model-update

This model is a fine-tuned version of [abacusai/Smaug-34B-v0.1](https://huggingface.co/abacusai/Smaug-34B-v0.1) on the oncc_medqa_instruct dataset.

## Training procedure

```
git clone https://github.com/chenhaodev/LLaMA-Factory; cd LLaMA-Factory; pip install -r requirements.txt;
python create_pods.py 'Qwen/Qwen-72B' 'NVIDIA A100 80GB PCIe' 1 xxx xxx xxx 6rhltjf914
```

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 1.0

### Training results



### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.0.1+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2