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Add phi3.5 config files #127

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66 changes: 66 additions & 0 deletions llm-lora-finetuning/configs/phi3.5_finetune_local.yaml
Original file line number Diff line number Diff line change
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# Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

model:
name: llm-peft-phi-3.5-mini-instruct
description: "Fine-tune Phi-3.5-mini-instruct."
tags:
- llm
- peft
- phi-3.5
version: 300_steps

settings:
docker:
parent_image: pytorch/pytorch:2.2.2-cuda11.8-cudnn8-runtime
requirements: requirements.txt
python_package_installer: uv
python_package_installer_args:
system: null
apt_packages:
- git
environment:
PJRT_DEVICE: CUDA
USE_TORCH_XLA: "false"
MKL_SERVICE_FORCE_INTEL: "1"

parameters:
# uses a 4-bit quantised version of Phi 3.5 for local experimentation
base_model_id: microsoft/Phi-3.5-mini-instruct
use_fast: False
load_in_4bit: True
system_prompt: |
Given a target sentence construct the underlying meaning representation of the input sentence as a single function with attributes and attribute values.
This function should describe the target string accurately and the function must be one of the following ['inform', 'request', 'give_opinion', 'confirm', 'verify_attribute', 'suggest', 'request_explanation', 'recommend', 'request_attribute'].
The attributes must be one of the following: ['name', 'exp_release_date', 'release_year', 'developer', 'esrb', 'rating', 'genres', 'player_perspective', 'has_multiplayer', 'platforms', 'available_on_steam', 'has_linux_release', 'has_mac_release', 'specifier']


steps:
prepare_data:
parameters:
dataset_name: gem/viggo

finetune:
parameters:
max_steps: 300
eval_steps: 30
bf16: True

promote:
parameters:
metric: rouge2
target_stage: staging
84 changes: 84 additions & 0 deletions llm-lora-finetuning/configs/phi3.5_finetune_remote.yaml
Original file line number Diff line number Diff line change
@@ -0,0 +1,84 @@
# Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

model:
name: llm-peft-phi-3.5-mini-instruct
description: "Fine-tune Phi-3.5-mini-instruct."
tags:
- llm
- peft
- phi-3.5
version: 300_steps

settings:
docker:
parent_image: pytorch/pytorch:2.2.2-cuda11.8-cudnn8-runtime
requirements: requirements.txt
python_package_installer: uv
python_package_installer_args:
system: null
apt_packages:
- git
environment:
PJRT_DEVICE: CUDA
USE_TORCH_XLA: "false"
MKL_SERVICE_FORCE_INTEL: "1"

parameters:
base_model_id: microsoft/Phi-3.5-mini-instruct
use_fast: False
load_in_4bit: True
system_prompt: |
Given a target sentence construct the underlying meaning representation of the input sentence as a single function with attributes and attribute values.
This function should describe the target string accurately and the function must be one of the following ['inform', 'request', 'give_opinion', 'confirm', 'verify_attribute', 'suggest', 'request_explanation', 'recommend', 'request_attribute'].
The attributes must be one of the following: ['name', 'exp_release_date', 'release_year', 'developer', 'esrb', 'rating', 'genres', 'player_perspective', 'has_multiplayer', 'platforms', 'available_on_steam', 'has_linux_release', 'has_mac_release', 'specifier']


steps:
prepare_data:
parameters:
dataset_name: gem/viggo

finetune:
step_operator: gcp_a100
retry:
max_retries: 3
delay: 10
backoff: 2
parameters:
max_steps: 300
eval_steps: 30
bf16: True

evaluate_finetuned:
step_operator: gcp_a100
retry:
max_retries: 3
delay: 10
backoff: 2

evaluate_base:
step_operator: gcp_a100
retry:
max_retries: 3
delay: 10
backoff: 2

promote:
parameters:
metric: rouge2
target_stage: staging
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