|
--- |
|
dataset_info: |
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features: |
|
- name: task |
|
dtype: string |
|
- name: org |
|
dtype: string |
|
- name: model |
|
dtype: string |
|
- name: hardware |
|
dtype: string |
|
- name: date |
|
dtype: string |
|
- name: prefill |
|
struct: |
|
- name: efficency |
|
struct: |
|
- name: unit |
|
dtype: string |
|
- name: value |
|
dtype: float64 |
|
- name: energy |
|
struct: |
|
- name: cpu |
|
dtype: float64 |
|
- name: gpu |
|
dtype: float64 |
|
- name: ram |
|
dtype: float64 |
|
- name: total |
|
dtype: float64 |
|
- name: unit |
|
dtype: string |
|
- name: decode |
|
struct: |
|
- name: efficiency |
|
struct: |
|
- name: unit |
|
dtype: string |
|
- name: value |
|
dtype: float64 |
|
- name: energy |
|
struct: |
|
- name: cpu |
|
dtype: float64 |
|
- name: gpu |
|
dtype: float64 |
|
- name: ram |
|
dtype: float64 |
|
- name: total |
|
dtype: float64 |
|
- name: unit |
|
dtype: string |
|
- name: preprocess |
|
struct: |
|
- name: efficiency |
|
struct: |
|
- name: unit |
|
dtype: string |
|
- name: value |
|
dtype: float64 |
|
- name: energy |
|
struct: |
|
- name: cpu |
|
dtype: float64 |
|
- name: gpu |
|
dtype: float64 |
|
- name: ram |
|
dtype: float64 |
|
- name: total |
|
dtype: float64 |
|
- name: unit |
|
dtype: string |
|
splits: |
|
- name: benchmark_results |
|
num_bytes: 1886 |
|
num_examples: 7 |
|
- name: train |
|
num_bytes: 2446 |
|
num_examples: 9 |
|
download_size: 75548 |
|
dataset_size: 4332 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: benchmark_results |
|
path: data/train-* |
|
- split: train |
|
path: data/train-* |
|
--- |
|
|
|
# Analysis of energy usage for HUGS models |
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|
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Based on the [energy_star branch](https://github.com/huggingface/optimum-benchmark/tree/energy_star_dev) of [optimum-benchmark](https://github.com/huggingface/optimum-benchmark), and using [codecarbon](https://pypi.org/project/codecarbon/2.1.4/). |
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|
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# Fields |
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- **task**: Task the model was benchmarked on. |
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- **org**: Organization hosting the model. |
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- **model**: The specific model. Model names at HF are usually constructed with {org}/{model}. |
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- **date**: The date that the benchmark was run. |
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- **prefill**: The esimated energy and efficiency for prefilling. |
|
- **decode**: The estimated energy and efficiency for decoding. |
|
- **preprocess**: The estimated energy and efficiency for preprocessing. |
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|
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# Code to Reproduce |
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|
|
As I'm devving, I'm hopping between https://huggingface.co/spaces/AIEnergyScore/benchmark-hugs-models and https://huggingface.co/spaces/meg/CalculateCarbon |
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|
|
From there, `python code/make_pretty_dataset.py` (included in this repository) takes the raw results and uploads them to the dataset here. |
