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gh-task-runner-Few-Shot.yml
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name: GH Task Runner (Few Shot Tasks)
on:
workflow_dispatch:
inputs:
approval_notice:
description: 'WARNING: This will spin up a large number of tasks - get approval from admin before running'
required: false
default: 'NOT_APPROVED'
type: choice
options:
- NOT_APPROVED
- APPROVED
model_hf_repo:
description: 'Model Hugging Face Repository'
required: true
default: 'RWKV/rwkv-5-world-1b5'
model_args:
description: 'Model Arguments (ie: dtype="float16")'
required: false
default: 'dtype=bfloat16,trust_remote_code=True'
batch_size:
description: 'Batch Size'
required: true
default: 'auto'
backend:
description: 'Backend to use'
required: true
default: 'nvidia-gpu'
type: choice
options:
- nvidia-gpu
- intel-gpu
- amd-gpu
- any-gpu
gpu_vram:
description: 'Minimum GPU VRAM (ignored for MPS)'
required: true
default: '24'
type: choice
options:
- 16
- 24
- 40
- 48
- 80
upload_output:
description: 'Upload to HF / B2'
required: false
default: true
type: boolean
env:
# Get the final task
RUN_TASK: ${{ github.event.inputs.custom_task || github.event.inputs.run_task }}
# HF repo to sync to
HF_REPO_SYNC: rwkv-x-dev/lm-eval-output
# Model HF repo
MODEL_HF_REPO: ${{ github.event.inputs.model_hf_repo }}
# HF / B2 sync settings
HUGGING_FACE_HUB_TOKEN: ${{secrets.HUGGING_FACE_HUB_TOKEN}}
B2_APPLICATION_KEY_ID: ${{secrets.B2_APPLICATION_KEY_ID}}
B2_APPLICATION_KEY: ${{secrets.B2_APPLICATION_KEY}}
B2_PATH_LM_EVAL_OUTPUT: ${{vars.B2_PATH_LM_EVAL_OUTPUT}}
jobs:
gh-task-runner:
# Check for approval notice
if: ${{ github.event.inputs.approval_notice == 'APPROVED' }}
# Strategy Matrix
strategy:
# Disable fail-fast behavior
fail-fast: false
matrix:
# NOTE: There is a matrix limit of 256 on github
run_task:
### Few shot tasks
### ----------------------------------------------------------------------------
- arc_challenge
- hellaswag
- truthfulqa_mc2
- winogrande
# - mmlu
# - kmmlu_*
num_fewshot:
- 1
- 2
- 5
- 10
- 25
include:
# Include mmlu with <= 5 fewshot
# As it does not work with > 5 fewshot
- run_task: mmlu
num_fewshot: 1
- run_task: mmlu
num_fewshot: 2
- run_task: mmlu
num_fewshot: 5
# Name of the job
name: "[${{ matrix.run_task }} - fs:${{ matrix.num_fewshot }}] ${{ github.event.inputs.model_hf_repo }} - ${{ github.event.inputs.model_args }}"
# Due to github worker hard limitation, of 24 hours
# we apply a timeout of 23 hours instead.
timeout-minutes: 1380
# Select the type of runner that the job will run on
runs-on:
- ${{ github.event.inputs.backend }}
- gpu-vram-${{ github.event.inputs.gpu_vram }}
# - gpu-count-any
# Actual task setup, and run steps
steps:
- name: Checkout repository
uses: actions/checkout@v3
- name: Run the task
uses: ./.github/actions/gh-task-runner-composite
with:
run_task: ${{ matrix.run_task }}
num_fewshot: ${{ matrix.num_fewshot }}
model_hf_repo: ${{ github.event.inputs.model_hf_repo }}
model_args: ${{ github.event.inputs.model_args }}
batch_size: ${{ github.event.inputs.batch_size }}
# upload_output: False
upload_output:
name: "Upload to HF / B2"
needs: gh-task-runner
runs-on: ubuntu-latest
if: ${{ github.event.inputs.upload_output }}
steps:
- name: Checkout repository
uses: actions/checkout@v3
- name: Run the task
uses: ./.github/actions/gh-upload-output
with:
num_fewshot: ${{ github.event.inputs.num_fewshot }}
model_hf_repo: ${{ github.event.inputs.model_hf_repo }}
model_args: ${{ github.event.inputs.model_args }}
batch_size: ${{ github.event.inputs.batch_size }}
backend: ${{ github.event.inputs.backend }}