peft safetensors trl sft generated_from_trainer text-generation base_model:mistralai/Mixtral-8x7B-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
- text-generation
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: Mixtral_Rio_oasst2_v1
  results: []
---

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# Mixtral_Rio_oasst2_v1

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the dataset oasst2 (OpenAssistant).
It achieves the following results on the evaluation set:
- eval_loss: 1.0570
- eval_runtime: 2.8042
- eval_samples_per_second: 3.566
- eval_steps_per_second: 0.713
- epoch: 30.0
- step: 150

## Model description

This is a LoRA trained on OpenAssistant data.
The settings for the base model should be:
Model loader: Transformers
Compute_dtype: bfloat16
quant_type: nf4
cpu: enabled
load-in-4bit: enabled
use_double_quant: enabled
set GPU memory as high as possible unless running locally to give some space for your desktop environment
tweak CPU usage until it loads successfully

## 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: 2.5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 175

### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1