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Browse files- README.md +5 -24
- app.py +2 -0
- requirements.txt +0 -10
README.md
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license: apache-2.0
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---
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-
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{
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"config": {
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"model_dtype": "torch.float16", # or torch.bfloat16 or 8bit or 4bit
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"model_name": "path of the model on the hub: org/model",
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"model_sha": "revision on the hub",
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},
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"results": {
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"task_name": {
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"metric_name": score,
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},
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"task_name2": {
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"metric_name": score,
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}
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}
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}
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```
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If you encounter problem on the space, don't hesitate to restart it to remove the create eval-queue, eval-queue-bk, eval-results and eval-results-bk created folder.
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If you want to run your own backend, you only need to change the logic in src/backend/run_eval_suite_..., which at the moment launches the Eleuther AI Harness or Lighteval, and edit the app.py to point to the correct file.
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license: apache-2.0
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---
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Depending on whether you want to use lighteval or lm_eval for your evaluations, you might need to complete the
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requirements.txt file to contain relevant dependencies.
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You'll also need to select, in app.py, whether you want to use the ligtheval or lm_eval by selecting the correct
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import and commenting the other.
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All env variables that you should need to edit to launch the evaluations should be in `envs`.
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app.py
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import gradio as gr
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from main_backend_lighteval import run_auto_eval
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from src.display.log_visualizer import log_file_to_html_string
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from src.display.css_html_js import dark_mode_gradio_js
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from src.envs import REFRESH_RATE, REPO_ID, QUEUE_REPO, RESULTS_REPO
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links_md = f"""
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# Important links
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| Description | Link |
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|-----------------|------|
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| Leaderboard | [{REPO_ID}](https://huggingface.co/spaces/{REPO_ID}) |
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import gradio as gr
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from main_backend_lighteval import run_auto_eval
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# from main_backend_harness import run_auto_eval
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from src.display.log_visualizer import log_file_to_html_string
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from src.display.css_html_js import dark_mode_gradio_js
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from src.envs import REFRESH_RATE, REPO_ID, QUEUE_REPO, RESULTS_REPO
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links_md = f"""
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# Important links
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| Description | Link |
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|-----------------|------|
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| Leaderboard | [{REPO_ID}](https://huggingface.co/spaces/{REPO_ID}) |
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requirements.txt
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APScheduler==3.10.1
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black==23.11.0
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click==8.1.3
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datasets==2.14.5
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gradio==4.4.0 # will have to move to 4.19.2
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gradio_client
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huggingface-hub>=0.18.0
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matplotlib==3.7.1
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numpy==1.24.2
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pandas==2.0.0
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python-dateutil==2.8.2
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requests==2.28.2
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tqdm==4.65.0
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transformers
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tokenizers>=0.15.0
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git+https://github.com/EleutherAI/lm-evaluation-harness.git@b281b0921b636bc36ad05c0b0b0763bd6dd43463#egg=lm-eval
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git+https://github.com/huggingface/lighteval.git#egg=lighteval
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accelerate==0.24.1
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sentencepiece
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APScheduler==3.10.1
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black==23.11.0
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click==8.1.3
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huggingface-hub>=0.18.0
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python-dateutil==2.8.2
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requests==2.28.2
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tqdm==4.65.0
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accelerate==0.24.1
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sentencepiece
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