peft safetensors mistral alignment-handbook generated_from_trainer trl sft dataset:EllieS/pubmedqa_data base_model:alignment-handbook/zephyr-7b-sft-full base_model:adapter:alignment-handbook/zephyr-7b-sft-full license:apache-2.0 region:us
---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- EllieS/pubmedqa_data
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- generated_from_trainer
- trl
- sft
model-index:
- name: zephyr-7b-sft-qlora
  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. -->

# zephyr-7b-sft-qlora

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the EllieS/pubmedqa_data dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0377

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.099         | 1.0   | 25000 | 1.0377          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0