

# Model Card for nano-phi-115M-control-v0.1

Inspired by [Phi2](https://huggingface.co/microsoft/phi-2), and open source small language model attempts like [smol_llama-101M-GQA](https://huggingface.co/BEE-spoke-data/smol_llama-101M-GQA).  
Pre-trained with training 7B token from scratch, with a dataset of 0.6B token.  
This model acts as a control of [kenhktsui/nano-phi-115M-v0.1](https://huggingface.co/kenhktsui/nano-phi-115M-v0.1) which applies quality filter to dataset resulting in small dataset.
It just took 2d 4h to train in Colab with a A100 40GB (~USD$ 100).  
It achieves quite competitive results in evaluation given its training token, and training data size.  
No alignment has been done yet.  

## Some metrics
- model
  - hidden_size: 768
  - num_key_value_heads: 8 (grouped query attention)
  - num_attention_heads: 24
  - num_hidden_layers: 6
  - context length: 1024
  - total params: 115M
- training:
  - global steps: 14,000



## [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 28.75    |
| ARC (25-shot)         | 21.67    |
| HellaSwag (10-shot)   | 26.89    |
| MMLU (5-shot)         | 24.76     |
| TruthfulQA (0-shot)   | 47.69    |
| Winogrande (5-shot)   | 51.46    |
| GSM8K (5-shot)        |  0.0     |

Details:

hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-ehgq969i:v13,use_accelerate=false,trust_remote_code=True), limit: None, provide_description: False, num_fewshot: 0, batch_size: 16
|  Task  |Version| Metric |Value |   |Stderr|
|--------|------:|--------|-----:|---|-----:|
|arc_easy|      0|acc     |0.3973|±  |0.0100|
|        |       |acc_norm|0.3531|±  |0.0098|

hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-ehgq969i:v13,use_accelerate=false,trust_remote_code=True), limit: None, provide_description: False, num_fewshot: 25, batch_size: 16
|    Task     |Version| Metric |Value |   |Stderr|
|-------------|------:|--------|-----:|---|-----:|
|arc_challenge|      0|acc     |0.1843|±  |0.0113|
|             |       |acc_norm|0.2167|±  |0.0120|

hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-ehgq969i:v13,use_accelerate=false,trust_remote_code=True), limit: None, provide_description: False, num_fewshot: 10, batch_size: 16
|  Task   |Version| Metric |Value |   |Stderr|
|---------|------:|--------|-----:|---|-----:|
|hellaswag|      0|acc     |0.2682|±  |0.0044|
|         |       |acc_norm|0.2689|±  |0.0044|

hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-ehgq969i:v13,use_accelerate=false,trust_remote_code=True), limit: None, provide_description: False, num_fewshot: 0, batch_size: 16
|    Task     |Version|Metric|Value |   |Stderr|
|-------------|------:|------|-----:|---|-----:|
|truthfulqa_mc|      1|mc1   |0.2619|±  |0.0154|
|             |       |mc2   |0.4769|±  |0.0156|

hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-ehgq969i:v13,use_accelerate=false,trust_remote_code=True), limit: None, provide_description: False, num_fewshot: 5, batch_size: 16
|                      Task                       |Version| Metric |Value |   |Stderr|
|-------------------------------------------------|------:|--------|-----:|---|-----:|
|hendrycksTest-abstract_algebra                   |      1|acc     |0.2200|±  |0.0416|
|                                                 |       |acc_norm|0.2200|±  |0.0416|
|hendrycksTest-anatomy                            |      1|acc     |0.3333|±  |0.0407|
|                                                 |       |acc_norm|0.3333|±  |0.0407|
|hendrycksTest-astronomy                          |      1|acc     |0.2895|±  |0.0369|
|                                                 |       |acc_norm|0.2895|±  |0.0369|
|hendrycksTest-business_ethics                    |      1|acc     |0.2000|±  |0.0402|
|                                                 |       |acc_norm|0.2000|±  |0.0402|
|hendrycksTest-clinical_knowledge                 |      1|acc     |0.2189|±  |0.0254|
|                                                 |       |acc_norm|0.2189|±  |0.0254|
|hendrycksTest-college_biology                    |      1|acc     |0.2222|±  |0.0348|
|                                                 |       |acc_norm|0.2222|±  |0.0348|
|hendrycksTest-college_chemistry                  |      1|acc     |0.1700|±  |0.0378|
|                                                 |       |acc_norm|0.1700|±  |0.0378|
|hendrycksTest-college_computer_science           |      1|acc     |0.3000|±  |0.0461|
|                                                 |       |acc_norm|0.3000|±  |0.0461|
|hendrycksTest-college_mathematics                |      1|acc     |0.2500|±  |0.0435|
|                                                 |       |acc_norm|0.2500|±  |0.0435|
|hendrycksTest-college_medicine                   |      1|acc     |0.1965|±  |0.0303|
|                                                 |       |acc_norm|0.1965|±  |0.0303|
|hendrycksTest-college_physics                    |      1|acc     |0.2353|±  |0.0422|
|                                                 |       |acc_norm|0.2353|±  |0.0422|
|hendrycksTest-computer_security                  |      1|acc     |0.2000|±  |0.0402|
|                                                 |       |acc_norm|0.2000|±  |0.0402|
|hendrycksTest-conceptual_physics                 |      1|acc     |0.2043|±  |0.0264|
|                                                 |       |acc_norm|0.2043|±  |0.0264|
|hendrycksTest-econometrics                       |      1|acc     |0.2456|±  |0.0405|
|                                                 |       |acc_norm|0.2456|±  |0.0405|
|hendrycksTest-electrical_engineering             |      1|acc     |0.2621|±  |0.0366|
|                                                 |       |acc_norm|0.2621|±  |0.0366|
|hendrycksTest-elementary_mathematics             |      1|acc     |0.2566|±  |0.0225|
|                                                 |       |acc_norm|0.2566|±  |0.0225|
|hendrycksTest-formal_logic                       |      1|acc     |0.1587|±  |0.0327|
|                                                 |       |acc_norm|0.1587|±  |0.0327|
|hendrycksTest-global_facts                       |      1|acc     |0.1600|±  |0.0368|
|                                                 |       |acc_norm|0.1600|±  |0.0368|
|hendrycksTest-high_school_biology                |      1|acc     |0.3226|±  |0.0266|
|                                                 |       |acc_norm|0.3226|±  |0.0266|
|hendrycksTest-high_school_chemistry              |      1|acc     |0.2956|±  |0.0321|
|                                                 |       |acc_norm|0.2956|±  |0.0321|
|hendrycksTest-high_school_computer_science       |      1|acc     |0.2800|±  |0.0451|
|                                                 |       |acc_norm|0.2800|±  |0.0451|
|hendrycksTest-high_school_european_history       |      1|acc     |0.2606|±  |0.0343|
|                                                 |       |acc_norm|0.2606|±  |0.0343|
|hendrycksTest-high_school_geography              |      1|acc     |0.2626|±  |0.0314|
|                                                 |       |acc_norm|0.2626|±  |0.0314|
|hendrycksTest-high_school_government_and_politics|      1|acc     |0.2176|±  |0.0298|
|                                                 |       |acc_norm|0.2176|±  |0.0298|
|hendrycksTest-high_school_macroeconomics         |      1|acc     |0.2128|±  |0.0208|
|                                                 |       |acc_norm|0.2128|±  |0.0208|
|hendrycksTest-high_school_mathematics            |      1|acc     |0.2630|±  |0.0268|
|                                                 |       |acc_norm|0.2630|±  |0.0268|
|hendrycksTest-high_school_microeconomics         |      1|acc     |0.2227|±  |0.0270|
|                                                 |       |acc_norm|0.2227|±  |0.0270|
|hendrycksTest-high_school_physics                |      1|acc     |0.3046|±  |0.0376|
|                                                 |       |acc_norm|0.3046|±  |0.0376|
|hendrycksTest-high_school_psychology             |      1|acc     |0.2055|±  |0.0173|
|                                                 |       |acc_norm|0.2055|±  |0.0173|
|hendrycksTest-high_school_statistics             |      1|acc     |0.4815|±  |0.0341|
|                                                 |       |acc_norm|0.4815|±  |0.0341|
|hendrycksTest-high_school_us_history             |      1|acc     |0.2059|±  |0.0284|
|                                                 |       |acc_norm|0.2059|±  |0.0284|
|hendrycksTest-high_school_world_history          |      1|acc     |0.2574|±  |0.0285|
|                                                 |       |acc_norm|0.2574|±  |0.0285|
|hendrycksTest-human_aging                        |      1|acc     |0.2063|±  |0.0272|
|                                                 |       |acc_norm|0.2063|±  |0.0272|
|hendrycksTest-human_sexuality                    |      1|acc     |0.2443|±  |0.0377|
|                                                 |       |acc_norm|0.2443|±  |0.0377|
|hendrycksTest-international_law                  |      1|acc     |0.2727|±  |0.0407|
|                                                 |       |acc_norm|0.2727|±  |0.0407|
|hendrycksTest-jurisprudence                      |      1|acc     |0.2130|±  |0.0396|
|                                                 |       |acc_norm|0.2130|±  |0.0396|
|hendrycksTest-logical_fallacies                  |      1|acc     |0.2515|±  |0.0341|
|                                                 |       |acc_norm|0.2515|±  |0.0341|
|hendrycksTest-machine_learning                   |      1|acc     |0.2321|±  |0.0401|
|                                                 |       |acc_norm|0.2321|±  |0.0401|
|hendrycksTest-management                         |      1|acc     |0.2039|±  |0.0399|
|                                                 |       |acc_norm|0.2039|±  |0.0399|
|hendrycksTest-marketing                          |      1|acc     |0.1966|±  |0.0260|
|                                                 |       |acc_norm|0.1966|±  |0.0260|
|hendrycksTest-medical_genetics                   |      1|acc     |0.3000|±  |0.0461|
|                                                 |       |acc_norm|0.3000|±  |0.0461|
|hendrycksTest-miscellaneous                      |      1|acc     |0.2631|±  |0.0157|
|                                                 |       |acc_norm|0.2631|±  |0.0157|
|hendrycksTest-moral_disputes                     |      1|acc     |0.2457|±  |0.0232|
|                                                 |       |acc_norm|0.2457|±  |0.0232|
|hendrycksTest-moral_scenarios                    |      1|acc     |0.2682|±  |0.0148|
|                                                 |       |acc_norm|0.2682|±  |0.0148|
|hendrycksTest-nutrition                          |      1|acc     |0.2451|±  |0.0246|
|                                                 |       |acc_norm|0.2451|±  |0.0246|
|hendrycksTest-philosophy                         |      1|acc     |0.2605|±  |0.0249|
|                                                 |       |acc_norm|0.2605|±  |0.0249|
|hendrycksTest-prehistory                         |      1|acc     |0.2932|±  |0.0253|
|                                                 |       |acc_norm|0.2932|±  |0.0253|
|hendrycksTest-professional_accounting            |      1|acc     |0.2340|±  |0.0253|
|                                                 |       |acc_norm|0.2340|±  |0.0253|
|hendrycksTest-professional_law                   |      1|acc     |0.2432|±  |0.0110|
|                                                 |       |acc_norm|0.2432|±  |0.0110|
|hendrycksTest-professional_medicine              |      1|acc     |0.4301|±  |0.0301|
|                                                 |       |acc_norm|0.4301|±  |0.0301|
|hendrycksTest-professional_psychology            |      1|acc     |0.2369|±  |0.0172|
|                                                 |       |acc_norm|0.2369|±  |0.0172|
|hendrycksTest-public_relations                   |      1|acc     |0.2091|±  |0.0390|
|                                                 |       |acc_norm|0.2091|±  |0.0390|
|hendrycksTest-security_studies                   |      1|acc     |0.2408|±  |0.0274|
|                                                 |       |acc_norm|0.2408|±  |0.0274|
|hendrycksTest-sociology                          |      1|acc     |0.2388|±  |0.0301|
|                                                 |       |acc_norm|0.2388|±  |0.0301|
|hendrycksTest-us_foreign_policy                  |      1|acc     |0.2600|±  |0.0441|
|                                                 |       |acc_norm|0.2600|±  |0.0441|
|hendrycksTest-virology                           |      1|acc     |0.2048|±  |0.0314|
|                                                 |       |acc_norm|0.2048|±  |0.0314|
|hendrycksTest-world_religions                    |      1|acc     |0.2047|±  |0.0309|
|                                                 |       |acc_norm|0.2047|±  |0.0309|

hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-ehgq969i:v13,use_accelerate=false,trust_remote_code=True), limit: None, provide_description: False, num_fewshot: 5, batch_size: 16
|   Task   |Version|Metric|Value |   |Stderr|
|----------|------:|------|-----:|---|-----:|
|winogrande|      0|acc   |0.5146|±  | 0.014|

hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-ehgq969i:v13,use_accelerate=false,trust_remote_code=True), limit: None, provide_description: False, num_fewshot: 5, batch_size: 16
|Task |Version|Metric|Value|   |Stderr|
|-----|------:|------|----:|---|-----:|
|gsm8k|      0|acc   |    0|±  |     0|

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{"language": ["en"], "library_name": "transformers", "datasets": ["JeanKaddour/minipile", "pszemraj/simple_wikipedia_LM", "mattymchen/refinedweb-3m", "Locutusque/TM-DATA", "Skylion007/openwebtext"], "inference": {"parameters": {"max_new_tokens": 64, "do_sample": true, "temperature": 0.8, "repetition_penalty": 1.15, "no_repeat_ngram_size": 4, "eta_cutoff": 0.0006, "renormalize_logits": true}}, "widget": [{"text": "My name is El Microondas the Wise, and", "example_title": "El Microondas"}, {"text": "Kennesaw State University is a public", "example_title": "Kennesaw State University"}, {"text": "Bungie Studios is an American video game developer. They are most famous for developing the award winning Halo series of video games. They also made Destiny. The studio was founded", "example_title": "Bungie"}, {"text": "The Mona Lisa is a world-renowned painting created by", "example_title": "Mona Lisa"}, {"text": "The Harry Potter series, written by J.K. Rowling, begins with the book titled", "example_title": "Harry Potter Series"}, {"text": "Question: I have cities, but no houses. I have mountains, but no trees. I have water, but no fish. What am I?\nAnswer:", "example_title": "Riddle"}, {"text": "The process of photosynthesis involves the conversion of", "example_title": "Photosynthesis"}, {"text": "Jane went to the store to buy some groceries. She picked up apples, oranges, and a loaf of bread. When she got home, she realized she forgot", "example_title": "Story Continuation"}, {"text": "Problem 2: If a train leaves Station A at 9:00 AM and travels at 60 mph, and another train leaves Station B at 10:00 AM and travels at 80 mph, when will they meet if the distance between the stations is 300 miles?\nTo determine", "example_title": "Math Problem"}, {"text": "In the context of computer programming, an algorithm is", "example_title": "Algorithm Definition"}], "pipeline_tag": "text-generation"}
transformers safetensors phi text-generation custom_code en dataset:JeanKaddour/minipile dataset:pszemraj/simple_wikipedia_LM dataset:mattymchen/refinedweb-3m dataset:Locutusque/TM-DATA dataset:Skylion007/openwebtext arxiv:1910.09700 autotrain_compatible endpoints_compatible region:us