library_name: transformers
language:
- en
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?
Answer:
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?
To determine
example_title: Math Problem
- text: In the context of computer programming, an algorithm is
example_title: Algorithm Definition
pipeline_tag: text-generation
Model Card for nano-phi-v0.1
Inspired by Phi2, and open source small language model attempts like smol_llama-101M-GQA.
Pre-trained with training 7B token from scratch, with a high quality dataset of 0.6B token.
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.
Open LLM Leaderboard Evaluation Results
| Metric | Value |
|---|---|
| Avg. | 28.68 |
| ARC (25-shot) | 21.93 |
| HellaSwag (10-shot) | 27.87 |
| MMLU (5-shot) | 25.30 |
| TruthfulQA (0-shot) | 46.01 |
| Winogrande (5-shot) | 50.99 |
| GSM8K (5-shot) | 0.0 |
Details:
hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-pegfss6f: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 | 0.4263 | ± | 0.0101 |
| acc_norm | 0.3864 | ± | 0.0100 |
hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-pegfss6f: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 | 0.1826 | ± | 0.0113 |
| acc_norm | 0.2193 | ± | 0.0121 |
hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-pegfss6f: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 | 0.2733 | ± | 0.0044 |
| acc_norm | 0.2787 | ± | 0.0045 |
hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-pegfss6f: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 | 0.2521 | ± | 0.0152 |
| mc2 | 0.4601 | ± | 0.0154 |
hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-pegfss6f: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 | 0.2300 | ± | 0.0423 |
| acc_norm | 0.2300 | ± | 0.0423 | ||
| hendrycksTest-anatomy | 1 | acc | 0.3111 | ± | 0.0400 |
| acc_norm | 0.3111 | ± | 0.0400 | ||
| hendrycksTest-astronomy | 1 | acc | 0.2171 | ± | 0.0336 |
| acc_norm | 0.2171 | ± | 0.0336 | ||
| hendrycksTest-business_ethics | 1 | acc | 0.2500 | ± | 0.0435 |
| acc_norm | 0.2500 | ± | 0.0435 | ||
| hendrycksTest-clinical_knowledge | 1 | acc | 0.2226 | ± | 0.0256 |
| acc_norm | 0.2226 | ± | 0.0256 | ||
| hendrycksTest-college_biology | 1 | acc | 0.2292 | ± | 0.0351 |
| acc_norm | 0.2292 | ± | 0.0351 | ||
| hendrycksTest-college_chemistry | 1 | acc | 0.1700 | ± | 0.0378 |
| acc_norm | 0.1700 | ± | 0.0378 | ||
| hendrycksTest-college_computer_science | 1 | acc | 0.2500 | ± | 0.0435 |
| acc_norm | 0.2500 | ± | 0.0435 | ||
| hendrycksTest-college_mathematics | 1 | acc | 0.2500 | ± | 0.0435 |
| acc_norm | 0.2500 | ± | 0.0435 | ||
| hendrycksTest-college_medicine | 1 | acc | 0.2023 | ± | 0.0306 |
| acc_norm | 0.2023 | ± | 0.0306 | ||
| hendrycksTest-college_physics | 1 | acc | 0.3235 | ± | 0.0466 |
| acc_norm | 0.3235 | ± | 0.0466 | ||
| hendrycksTest-computer_security | 1 | acc | 0.2600 | ± | 0.0441 |
| acc_norm | 0.2600 | ± | 0.0441 | ||
| hendrycksTest-conceptual_physics | 1 | acc | 0.2511 | ± | 0.0283 |
| acc_norm | 0.2511 | ± | 0.0283 | ||
| hendrycksTest-econometrics | 1 | acc | 0.2281 | ± | 0.0395 |
| acc_norm | 0.2281 | ± | 0.0395 | ||
| hendrycksTest-electrical_engineering | 1 | acc | 0.2276 | ± | 0.0349 |
| acc_norm | 0.2276 | ± | 0.0349 | ||
| hendrycksTest-elementary_mathematics | 1 | acc | 0.2460 | ± | 0.0222 |
| acc_norm | 0.2460 | ± | 0.0222 | ||
| hendrycksTest-formal_logic | 1 | acc | 0.1508 | ± | 0.0320 |
| acc_norm | 0.1508 | ± | 0.0320 | ||
| hendrycksTest-global_facts | 1 | acc | 0.3000 | ± | 0.0461 |
| acc_norm | 0.3000 | ± | 0.0461 | ||
| hendrycksTest-high_school_biology | 1 | acc | 0.3387 | ± | 0.0269 |
| acc_norm | 0.3387 | ± | 0.0269 | ||
| hendrycksTest-high_school_chemistry | 1 | acc | 0.2906 | ± | 0.0319 |
| acc_norm | 0.2906 | ± | 0.0319 | ||
| hendrycksTest-high_school_computer_science | 1 | acc | 0.3100 | ± | 0.0465 |
| acc_norm | 0.3100 | ± | 0.0465 | ||
| hendrycksTest-high_school_european_history | 1 | acc | 0.2182 | ± | 0.0323 |
| acc_norm | 0.2182 | ± | 0.0323 | ||
| hendrycksTest-high_school_geography | 1 | acc | 0.3232 | ± | 0.0333 |
| acc_norm | 0.3232 | ± | 0.0333 | ||
| hendrycksTest-high_school_government_and_politics | 1 | acc | 0.2021 | ± | 0.0290 |
| acc_norm | 0.2021 | ± | 0.0290 | ||
| hendrycksTest-high_school_macroeconomics | 1 | acc | 0.2487 | ± | 0.0219 |
| acc_norm | 0.2487 | ± | 0.0219 | ||
| hendrycksTest-high_school_mathematics | 1 | acc | 0.2741 | ± | 0.0272 |
| acc_norm | 0.2741 | ± | 0.0272 | ||
| hendrycksTest-high_school_microeconomics | 1 | acc | 0.3319 | ± | 0.0306 |
| acc_norm | 0.3319 | ± | 0.0306 | ||
| hendrycksTest-high_school_physics | 1 | acc | 0.3179 | ± | 0.0380 |
| acc_norm | 0.3179 | ± | 0.0380 | ||
| hendrycksTest-high_school_psychology | 1 | acc | 0.2477 | ± | 0.0185 |
| acc_norm | 0.2477 | ± | 0.0185 | ||
| hendrycksTest-high_school_statistics | 1 | acc | 0.4722 | ± | 0.0340 |
| acc_norm | 0.4722 | ± | 0.0340 | ||
| hendrycksTest-high_school_us_history | 1 | acc | 0.2696 | ± | 0.0311 |
| acc_norm | 0.2696 | ± | 0.0311 | ||
| hendrycksTest-high_school_world_history | 1 | acc | 0.2152 | ± | 0.0268 |
| acc_norm | 0.2152 | ± | 0.0268 | ||
| hendrycksTest-human_aging | 1 | acc | 0.1973 | ± | 0.0267 |
| acc_norm | 0.1973 | ± | 0.0267 | ||
| hendrycksTest-human_sexuality | 1 | acc | 0.2824 | ± | 0.0395 |
| acc_norm | 0.2824 | ± | 0.0395 | ||
| hendrycksTest-international_law | 1 | acc | 0.2231 | ± | 0.0380 |
| acc_norm | 0.2231 | ± | 0.0380 | ||
| hendrycksTest-jurisprudence | 1 | acc | 0.2222 | ± | 0.0402 |
| acc_norm | 0.2222 | ± | 0.0402 | ||
| hendrycksTest-logical_fallacies | 1 | acc | 0.2822 | ± | 0.0354 |
| acc_norm | 0.2822 | ± | 0.0354 | ||
| hendrycksTest-machine_learning | 1 | acc | 0.2768 | ± | 0.0425 |
| acc_norm | 0.2768 | ± | 0.0425 | ||
| 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 | 0.2800 | ± | 0.0451 |
| acc_norm | 0.2800 | ± | 0.0451 | ||
| hendrycksTest-miscellaneous | 1 | acc | 0.2746 | ± | 0.0160 |
| acc_norm | 0.2746 | ± | 0.0160 | ||
| hendrycksTest-moral_disputes | 1 | acc | 0.2081 | ± | 0.0219 |
| acc_norm | 0.2081 | ± | 0.0219 | ||
| hendrycksTest-moral_scenarios | 1 | acc | 0.2469 | ± | 0.0144 |
| acc_norm | 0.2469 | ± | 0.0144 | ||
| hendrycksTest-nutrition | 1 | acc | 0.2647 | ± | 0.0253 |
| acc_norm | 0.2647 | ± | 0.0253 | ||
| hendrycksTest-philosophy | 1 | acc | 0.1897 | ± | 0.0223 |
| acc_norm | 0.1897 | ± | 0.0223 | ||
| hendrycksTest-prehistory | 1 | acc | 0.2377 | ± | 0.0237 |
| acc_norm | 0.2377 | ± | 0.0237 | ||
| hendrycksTest-professional_accounting | 1 | acc | 0.2482 | ± | 0.0258 |
| acc_norm | 0.2482 | ± | 0.0258 | ||
| hendrycksTest-professional_law | 1 | acc | 0.2464 | ± | 0.0110 |
| acc_norm | 0.2464 | ± | 0.0110 | ||
| hendrycksTest-professional_medicine | 1 | acc | 0.4265 | ± | 0.0300 |
| acc_norm | 0.4265 | ± | 0.0300 | ||
| hendrycksTest-professional_psychology | 1 | acc | 0.2614 | ± | 0.0178 |
| acc_norm | 0.2614 | ± | 0.0178 | ||
| hendrycksTest-public_relations | 1 | acc | 0.1818 | ± | 0.0369 |
| acc_norm | 0.1818 | ± | 0.0369 | ||
| hendrycksTest-security_studies | 1 | acc | 0.1959 | ± | 0.0254 |
| acc_norm | 0.1959 | ± | 0.0254 | ||
| hendrycksTest-sociology | 1 | acc | 0.2289 | ± | 0.0297 |
| acc_norm | 0.2289 | ± | 0.0297 | ||
| hendrycksTest-us_foreign_policy | 1 | acc | 0.2400 | ± | 0.0429 |
| acc_norm | 0.2400 | ± | 0.0429 | ||
| hendrycksTest-virology | 1 | acc | 0.2048 | ± | 0.0314 |
| acc_norm | 0.2048 | ± | 0.0314 | ||
| hendrycksTest-world_religions | 1 | acc | 0.2222 | ± | 0.0319 |
| acc_norm | 0.2222 | ± | 0.0319 |
hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-pegfss6f: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 | 0.5099 | ± | 0.014 |
hf-causal-experimental (pretrained=/content/lm-evaluation-harness/artifacts/checkpoint-pegfss6f: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 | ± | 0.0 |
Model Details
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