| | --- |
| | license: cc-by-4.0 |
| | datasets: |
| | - Photolens/alpaca-cleaned-airoboros-2.1-no-code-oasst1-en-merged |
| | language: |
| | - en |
| | --- |
| | |
| | ## Model overview |
| | This model is finetuned on *[a merged dataset of: oasst1-en, alpaca-cleaned and airoboros-2.1-no-code](https://huggingface.co/datasets/Photolens/alpaca-cleaned-airoboros-2.1-no-code-oasst1-en-merged)* on a base model: *[Marx-3b-V2](https://huggingface.co/acrastt/Marx-3B-V2)* |
| | - License: "`Creative-Commons-Attribution-4.0`" |
| | - Language: "`en`" |
| | - Size: "`3.43b params`" |
| |
|
| | ## Prompt template |
| | Prompt template: |
| | ``` |
| | ### SYSTEM: |
| | <system_prompt_here> |
| | |
| | ### HUMAN: |
| | <prompter_message_here> |
| | |
| | ### INPUT: |
| | <input_text_here> |
| | |
| | ### RESPONSE: |
| | <leave_a_blank_line_here> |
| | ``` |
| | *Note: If you dont have a system or input text, do not include the tokens in the prompt.* |
| |
|
| | ## Training Details |
| | This model took `2:40:54` to train in LoRA on a single `A100 40gb` GPU.<br> |
| | - *epochs*: `1` |
| | - *train batch size*: `8` |
| | - *eval batch size*: `8` |
| | - *gradient accumulation steps*: `1` |
| | - *maximum gradient normal*: `0.3` |
| | - *learning rate*: `2e-4` |
| | - *weight decay*: `0.001` |
| | - *optimizer*: `paged_adamw_32bit` |
| | - *learning rate schedule*: `cosine` |
| | - *warmup ratio (linear)*: `0.03` |
| | # [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_AtAndDev__ShortKing-3b-v0.3) |
| |
|
| | | Metric | Value | |
| | |-----------------------|---------------------------| |
| | | Avg. | 35.75 | |
| | | ARC (25-shot) | 40.96 | |
| | | HellaSwag (10-shot) | 70.72 | |
| | | MMLU (5-shot) | 26.21 | |
| | | TruthfulQA (0-shot) | 38.78 | |
| | | Winogrande (5-shot) | 66.93 | |
| | | GSM8K (5-shot) | 1.21 | |
| | | DROP (3-shot) | 5.46 | |
| |
|
