---
language:
- en
tags:
- llama
datasets:
- chargoddard/Open-Platypus-Chat
model-index:
- name: platypus2-22b-relora
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 57.51
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/platypus2-22b-relora
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 82.36
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/platypus2-22b-relora
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 54.94
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/platypus2-22b-relora
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 43.62
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/platypus2-22b-relora
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 77.11
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/platypus2-22b-relora
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 6.29
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/platypus2-22b-relora
      name: Open LLM Leaderboard
---
Experimental ReLoRA-trained model using the OpenPlatypus dataset. Ran for one epoch, with three lora restarts.

Not recommended for use yet. Mostly tossing this up for testing.

Base model was [llama2-22b-blocktriangular](https://huggingface.co/chargoddard/llama2-22b-blocktriangular).

Relevant training parameters:
```
adapter: qlora
load_in_4bit: true
lora_r: 32
lora_alpha: 16
lora_dropout: 0.001
lora_target_linear: true
relora_steps: 150
relora_warmup_steps: 10
gradient_accumulation_steps: 2
micro_batch_size: 3
```

Uses the same prompt format as [Ypotryll-22b](https://huggingface.co/chargoddard/ypotryll-22b-epoch2-qlora).
Prefix messages with `" ***System:"`, `" ***Query:"`, or `" ***Response:"`, paying attention to whitespace.


[<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)
# [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_chargoddard__platypus-2-22b-relora)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 52.21   |
| ARC (25-shot)         | 57.68          |
| HellaSwag (10-shot)   | 82.44    |
| MMLU (5-shot)         | 55.33         |
| TruthfulQA (0-shot)   | 43.61   |
| Winogrande (5-shot)   | 77.35   |
| GSM8K (5-shot)        | 6.6        |
| DROP (3-shot)         | 42.46         |

# [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_chargoddard__platypus2-22b-relora)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |53.64|
|AI2 Reasoning Challenge (25-Shot)|57.51|
|HellaSwag (10-Shot)              |82.36|
|MMLU (5-Shot)                    |54.94|
|TruthfulQA (0-shot)              |43.62|
|Winogrande (5-shot)              |77.11|
|GSM8k (5-shot)                   | 6.29|