File size: 1,854 Bytes
114712b 4bcf161 08b2406 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
---
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 |
|