peft tensorboard safetensors llama alignment-handbook generated_from_trainer trl sft dataset:youndukn/ROLE_PLAY_INSTRUCT base_model:Gryphe/MythoMax-L2-13b license:other region:us
---
license: other
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- youndukn/ROLE_PLAY_INSTRUCT
base_model: Gryphe/MythoMax-L2-13b
model-index:
- name: mythomax-13b-sft-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mythomax-13b-sft-lora

This model is a fine-tuned version of [Gryphe/MythoMax-L2-13b](https://huggingface.co/Gryphe/MythoMax-L2-13b) on the youndukn/ROLE_PLAY_INSTRUCT dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5062

## 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: 128
- total_train_batch_size: 512
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5495        | 0.99  | 11   | 1.5062          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.15.0