peft mistral generated_from_trainer base_model:athirdpath/Epsilon-17b license:cc-by-nc-4.0 4-bit bitsandbytes region:us
---
license: cc-by-nc-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: athirdpath/Epsilon-17b
model-index:
- name: 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. -->

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# qlora

This model is a fine-tuned version of [athirdpath/Epsilon-17b](https://huggingface.co/athirdpath/Epsilon-17b) on a private NSFW dataset.

## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8918        | 1.37  | 24   | 1.9604          |
| 1.8991        | 2.75  | 48   | 1.9109          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0