---
license: mit
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- sft
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
datasets:
- erbacher/proactive_image_generation_user
model-index:
- name: zephyr-7b-proimg-qlora-user
  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-proimg-qlora-user

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the erbacher/proactive_image_generation_user dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5822

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5498        | 1.0   | 226  | 0.5578          |
| 0.4788        | 2.0   | 452  | 0.5577          |
| 0.3871        | 3.0   | 678  | 0.5822          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.1+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2