---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: NeuralNovel/Tiger-7B-v0.1
model-index:
- name: train_2024-02-16-12-09-1733333
  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. -->

# train_2024-02-16-12-09-1733333

This model is a fine-tuned version of [NeuralNovel/Tiger-7B-v0.1](https://huggingface.co/NeuralNovel/Tiger-7B-v0.1) on the Neural-DPO 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0

### Training results



### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_NovoCode__Tiger-DPO)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |59.66|
|AI2 Reasoning Challenge (25-Shot)|48.21|
|HellaSwag (10-Shot)              |81.82|
|MMLU (5-Shot)                    |59.85|
|TruthfulQA (0-shot)              |50.76|
|Winogrande (5-shot)              |76.32|
|GSM8k (5-shot)                   |41.02|