---
tags:
- generated_from_trainer
model-index:
- name: airo-lora-out
  results: []
datasets:
- unalignment/spicy-3.1
---

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# LoneStriker/Yi-34B-Spicyboros-3.1-LoRA

This model was fine-tuned on Spicyboros-3.1 dataset on top of the Yi-34B-Llama model.

## Model description

Base model [Yi-34B-Llama](https://huggingface.co/chargoddard/Yi-34B-Llama)

## Intended uses & limitations

See Yi license

## Training and evaluation data

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1