Compare commits
4 Commits
flex_patch
...
destroy-pg
| Author | SHA1 | Date | |
|---|---|---|---|
|
1defb8a955 | ||
|
|
70b466aa67 | ||
|
|
32ce167404 | ||
|
|
1c4cc639f5 |
14
.github/workflows/base.yml
vendored
14
.github/workflows/base.yml
vendored
@@ -40,24 +40,12 @@ jobs:
|
||||
python_version: "3.11"
|
||||
pytorch: 2.6.0
|
||||
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
|
||||
- cuda: "126"
|
||||
cuda_version: 12.6.3
|
||||
cudnn_version: ""
|
||||
python_version: "3.11"
|
||||
pytorch: 2.6.0
|
||||
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
|
||||
- cuda: "128"
|
||||
cuda_version: 12.8.1
|
||||
cudnn_version: ""
|
||||
python_version: "3.11"
|
||||
pytorch: nightly
|
||||
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
|
||||
- cuda: "128"
|
||||
cuda_version: 12.8.1
|
||||
cudnn_version: ""
|
||||
python_version: "3.11"
|
||||
pytorch: next
|
||||
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
@@ -79,7 +67,7 @@ jobs:
|
||||
uses: docker/build-push-action@v4
|
||||
with:
|
||||
context: .
|
||||
file: ${{ matrix.pytorch == 'nightly' && './docker/Dockerfile-base-nightly' || matrix.pytorch == 'next' && './docker/Dockerfile-base-next' || './docker/Dockerfile-base' }}
|
||||
file: ${{ matrix.pytorch == 'nightly' && './docker/Dockerfile-base-nightly' || './docker/Dockerfile-base' }}
|
||||
push: ${{ github.event_name != 'pull_request' }}
|
||||
tags: ${{ steps.metadata.outputs.tags }}-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
|
||||
labels: ${{ steps.metadata.outputs.labels }}
|
||||
|
||||
4
.github/workflows/main.yml
vendored
4
.github/workflows/main.yml
vendored
@@ -25,12 +25,12 @@ jobs:
|
||||
python_version: "3.11"
|
||||
pytorch: 2.5.1
|
||||
axolotl_extras: vllm
|
||||
is_latest: true
|
||||
- cuda: 124
|
||||
cuda_version: 12.4.1
|
||||
python_version: "3.11"
|
||||
pytorch: 2.6.0
|
||||
axolotl_extras:
|
||||
is_latest: true
|
||||
runs-on: axolotl-gpu-runner
|
||||
steps:
|
||||
- name: Checkout
|
||||
@@ -87,12 +87,12 @@ jobs:
|
||||
python_version: "3.11"
|
||||
pytorch: 2.5.1
|
||||
axolotl_extras:
|
||||
is_latest: true
|
||||
- cuda: 124
|
||||
cuda_version: 12.4.1
|
||||
python_version: "3.11"
|
||||
pytorch: 2.6.0
|
||||
axolotl_extras:
|
||||
is_latest: true
|
||||
runs-on: axolotl-gpu-runner
|
||||
steps:
|
||||
- name: Checkout
|
||||
|
||||
15
.github/workflows/multi-gpu-e2e.yml
vendored
15
.github/workflows/multi-gpu-e2e.yml
vendored
@@ -24,13 +24,6 @@ jobs:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
include:
|
||||
- cuda: 124
|
||||
cuda_version: 12.4.1
|
||||
python_version: "3.11"
|
||||
pytorch: 2.6.0
|
||||
axolotl_extras: vllm
|
||||
num_gpus: 2
|
||||
nightly_build: "true"
|
||||
- cuda: 124
|
||||
cuda_version: 12.4.1
|
||||
python_version: "3.11"
|
||||
@@ -45,6 +38,14 @@ jobs:
|
||||
axolotl_extras: vllm
|
||||
num_gpus: 2
|
||||
nightly_build: "true"
|
||||
- cuda: 124
|
||||
cuda_version: 12.4.1
|
||||
python_version: "3.11"
|
||||
pytorch: 2.6.0
|
||||
# awaiting vllm#12721
|
||||
axolotl_extras:
|
||||
num_gpus: 2
|
||||
nightly_build: "true"
|
||||
runs-on: [self-hosted, modal]
|
||||
timeout-minutes: 120
|
||||
steps:
|
||||
|
||||
23
.github/workflows/tests-nightly.yml
vendored
23
.github/workflows/tests-nightly.yml
vendored
@@ -33,15 +33,6 @@ jobs:
|
||||
- name: Check out repository code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Restore HF cache
|
||||
id: hf-cache-restore
|
||||
uses: actions/cache/restore@v4
|
||||
with:
|
||||
path: |
|
||||
/home/runner/.cache/huggingface/hub/datasets--*
|
||||
/home/runner/.cache/huggingface/hub/models--*
|
||||
key: ${{ runner.os }}-hf-hub-cache-v2
|
||||
|
||||
- name: Setup Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
@@ -55,7 +46,7 @@ jobs:
|
||||
|
||||
- name: Install PyTorch
|
||||
run: |
|
||||
pip3 install torch==${{ matrix.pytorch_version }}
|
||||
pip3 install torch==${{ matrix.pytorch_version }} --index-url https://download.pytorch.org/whl/cpu
|
||||
|
||||
- name: Update requirements.txt
|
||||
run: |
|
||||
@@ -67,7 +58,8 @@ jobs:
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
pip3 show torch
|
||||
pip3 install --upgrade pip
|
||||
pip3 install --upgrade packaging==23.2
|
||||
pip3 install --no-build-isolation -U -e .
|
||||
python scripts/unsloth_install.py | sh
|
||||
python scripts/cutcrossentropy_install.py | sh
|
||||
@@ -81,15 +73,10 @@ jobs:
|
||||
run: |
|
||||
axolotl --help
|
||||
|
||||
- name: Pre-Download dataset fixture
|
||||
run: |
|
||||
huggingface-cli download --repo-type=dataset axolotl-ai-internal/axolotl-oss-dataset-fixtures
|
||||
|
||||
- name: Run tests
|
||||
run: |
|
||||
pytest -v -n8 --dist loadfile --ignore=tests/e2e/ --ignore=tests/patched/ --ignore=tests/cli/ tests/
|
||||
pytest -v tests/patched/
|
||||
pytest -v tests/cli/
|
||||
pytest -n8 --dist loadfile --ignore=tests/e2e/ --ignore=tests/patched/ tests/
|
||||
pytest tests/patched/
|
||||
|
||||
- name: cleanup pip cache
|
||||
run: |
|
||||
|
||||
10
.github/workflows/tests.yml
vendored
10
.github/workflows/tests.yml
vendored
@@ -96,10 +96,6 @@ jobs:
|
||||
run: |
|
||||
axolotl --help
|
||||
|
||||
- name: Pre-Download dataset fixture
|
||||
run: |
|
||||
huggingface-cli download --repo-type=dataset axolotl-ai-internal/axolotl-oss-dataset-fixtures
|
||||
|
||||
- name: Run tests
|
||||
run: |
|
||||
pytest -v -n8 --dist loadfile --ignore=tests/e2e/ --ignore=tests/patched/ --ignore=tests/cli/ tests/
|
||||
@@ -211,7 +207,7 @@ jobs:
|
||||
- cuda: 124
|
||||
cuda_version: 12.4.1
|
||||
python_version: "3.11"
|
||||
pytorch: 2.6.0
|
||||
pytorch: 2.5.1
|
||||
num_gpus: 1
|
||||
axolotl_extras: vllm
|
||||
steps:
|
||||
@@ -258,9 +254,9 @@ jobs:
|
||||
- cuda: 124
|
||||
cuda_version: 12.4.1
|
||||
python_version: "3.11"
|
||||
pytorch: 2.5.1
|
||||
pytorch: 2.6.0
|
||||
num_gpus: 1
|
||||
axolotl_extras: vllm
|
||||
axolotl_extras:
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
|
||||
@@ -40,7 +40,6 @@ quartodoc:
|
||||
- cli.preprocess
|
||||
- cli.sweeps
|
||||
- cli.utils
|
||||
- cli.vllm_serve
|
||||
- cli.cloud.base
|
||||
- cli.cloud.modal_
|
||||
- title: Trainers
|
||||
@@ -231,7 +230,6 @@ website:
|
||||
- docs/reward_modelling.qmd
|
||||
- docs/lr_groups.qmd
|
||||
- docs/lora_optims.qmd
|
||||
- docs/dataset_loading.qmd
|
||||
|
||||
- section: "Core Concepts"
|
||||
contents:
|
||||
|
||||
@@ -68,7 +68,7 @@ def run_cmd(cmd: str, run_folder: str):
|
||||
@app.function(
|
||||
image=cicd_image,
|
||||
gpu=GPU_CONFIG,
|
||||
timeout=90 * 60,
|
||||
timeout=60 * 60,
|
||||
cpu=8.0,
|
||||
memory=131072 * N_GPUS,
|
||||
volumes=VOLUME_CONFIG,
|
||||
|
||||
@@ -2,5 +2,4 @@
|
||||
set -e
|
||||
|
||||
# only run one test at a time so as not to OOM the GPU
|
||||
pytest -v --durations=10 -n2 /workspace/axolotl/tests/e2e/multigpu/ --ignore=/workspace/axolotl/tests/e2e/multigpu/solo/
|
||||
pytest -v --durations=10 -n1 /workspace/axolotl/tests/e2e/multigpu/solo/
|
||||
pytest -v -n2 /workspace/axolotl/tests/e2e/multigpu/
|
||||
|
||||
@@ -20,9 +20,9 @@ WORKDIR /workspace/axolotl
|
||||
|
||||
# If AXOLOTL_EXTRAS is set, append it in brackets
|
||||
RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
|
||||
pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
|
||||
pip install --no-build-isolation -e .[deepspeed,flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
|
||||
else \
|
||||
pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
|
||||
pip install --no-build-isolation -e .[deepspeed,flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
|
||||
fi
|
||||
|
||||
RUN python scripts/unsloth_install.py | sh
|
||||
|
||||
@@ -29,7 +29,7 @@ ENV PATH="/root/miniconda3/envs/py${PYTHON_VERSION}/bin:${PATH}"
|
||||
WORKDIR /workspace
|
||||
|
||||
RUN python3 -m pip install --upgrade pip && pip3 install -U packaging==23.2 setuptools==75.8.0 wheel && \
|
||||
python3 -m pip install --no-cache-dir -U torch==${PYTORCH_VERSION}+cu${CUDA} torchvision --extra-index-url https://download.pytorch.org/whl/cu$CUDA && \
|
||||
python3 -m pip install --no-cache-dir -U torch==${PYTORCH_VERSION}+cu${CUDA} --extra-index-url https://download.pytorch.org/whl/cu$CUDA && \
|
||||
python3 -m pip install --no-cache-dir "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" && \
|
||||
python3 -m pip install --no-cache-dir "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main"
|
||||
|
||||
|
||||
@@ -1,38 +0,0 @@
|
||||
ARG CUDA_VERSION="12.8.1"
|
||||
ARG CUDNN_VERSION="8"
|
||||
ARG UBUNTU_VERSION="22.04"
|
||||
ARG MAX_JOBS=4
|
||||
|
||||
FROM nvidia/cuda:$CUDA_VERSION-cudnn$CUDNN_VERSION-devel-ubuntu$UBUNTU_VERSION AS base-builder
|
||||
|
||||
ENV PATH="/root/miniconda3/bin:${PATH}"
|
||||
|
||||
ARG PYTHON_VERSION="3.11"
|
||||
ARG PYTORCH_VERSION="next"
|
||||
ARG CUDA="128"
|
||||
ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"
|
||||
|
||||
ENV PYTHON_VERSION=$PYTHON_VERSION
|
||||
ENV TORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get install -y wget git build-essential ninja-build git-lfs libaio-dev pkg-config && rm -rf /var/lib/apt/lists/* \
|
||||
&& wget \
|
||||
https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \
|
||||
&& mkdir /root/.conda \
|
||||
&& bash Miniconda3-latest-Linux-x86_64.sh -b \
|
||||
&& rm -f Miniconda3-latest-Linux-x86_64.sh \
|
||||
&& conda create -n "py${PYTHON_VERSION}" python="${PYTHON_VERSION}"
|
||||
|
||||
ENV PATH="/root/miniconda3/envs/py${PYTHON_VERSION}/bin:${PATH}"
|
||||
|
||||
WORKDIR /workspace
|
||||
|
||||
RUN python3 -m pip install --upgrade pip && pip3 install packaging && \
|
||||
python3 -m pip install --no-cache-dir -U torch==2.7.0 --extra-index-url https://download.pytorch.org/whl/test/cu$CUDA && \
|
||||
python3 -m pip install --no-cache-dir "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" && \
|
||||
python3 -m pip install --no-cache-dir "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main"
|
||||
|
||||
RUN git lfs install --skip-repo && \
|
||||
pip3 install awscli && \
|
||||
pip3 install -U --no-cache-dir pydantic==2.10.6
|
||||
40
docs/cli.qmd
40
docs/cli.qmd
@@ -170,7 +170,7 @@ axolotl merge-sharded-fsdp-weights config.yml
|
||||
|
||||
### evaluate
|
||||
|
||||
Evaluates a model's performance (loss etc) on the train and eval datasets.
|
||||
Evaluates a model's performance using metrics specified in the config.
|
||||
|
||||
```bash
|
||||
# Basic evaluation
|
||||
@@ -197,8 +197,6 @@ lm_eval_batch_size: # Batch size for evaluation
|
||||
output_dir: # Directory to save evaluation results
|
||||
```
|
||||
|
||||
See [LM Eval Harness](https://github.com/EleutherAI/lm-evaluation-harness) for more details.
|
||||
|
||||
## Legacy CLI Usage
|
||||
|
||||
While the new Click-based CLI is preferred, Axolotl still supports the legacy module-based CLI:
|
||||
@@ -237,7 +235,7 @@ Create a cloud config YAML with your Modal settings:
|
||||
```yaml
|
||||
# cloud_config.yml
|
||||
provider: modal
|
||||
gpu: a100 # Supported: l40s, a100-40gb, a100-80gb, a10g, h100, t4, l4
|
||||
gpu: a100 # Supported: l40s, a100-40gb, a100-80gb, a10g, h100, t4, l4
|
||||
gpu_count: 1 # Number of GPUs to use
|
||||
timeout: 86400 # Maximum runtime in seconds (24 hours)
|
||||
branch: main # Git branch to use (optional)
|
||||
@@ -250,7 +248,7 @@ volumes: # Persistent storage volumes
|
||||
- name: axolotl-artifacts
|
||||
mount: /workspace/artifacts
|
||||
|
||||
secrets: # Secrets to inject
|
||||
env: # Environment variables
|
||||
- WANDB_API_KEY
|
||||
- HF_TOKEN
|
||||
```
|
||||
@@ -276,27 +274,15 @@ axolotl lm-eval config.yml --cloud cloud_config.yml
|
||||
### Cloud Configuration Options
|
||||
|
||||
```yaml
|
||||
provider: # compute provider, currently only `modal` is supported
|
||||
gpu: # GPU type to use
|
||||
gpu_count: # Number of GPUs (default: 1)
|
||||
memory: # RAM in GB (default: 128)
|
||||
timeout: # Maximum runtime in seconds
|
||||
provider: # compute provider, currently only `modal` is supported
|
||||
gpu: # GPU type to use
|
||||
gpu_count: # Number of GPUs (default: 1)
|
||||
memory: # RAM in GB (default: 128)
|
||||
timeout: # Maximum runtime in seconds
|
||||
timeout_preprocess: # Preprocessing timeout
|
||||
branch: # Git branch to use
|
||||
docker_tag: # Custom Docker image tag
|
||||
volumes: # List of persistent storage volumes
|
||||
|
||||
# Environment variables to pass. Can be specified in two ways:
|
||||
# 1. As a string: Will load the value from the host computer's environment variables
|
||||
# 2. As a key-value pair: Will use the specified value directly
|
||||
# Example:
|
||||
# env:
|
||||
# - CUSTOM_VAR # Loads from host's $CUSTOM_VAR
|
||||
# - {CUSTOM_VAR: "value"} # Uses "value" directly
|
||||
env:
|
||||
|
||||
# Secrets to inject. Same input format as `env` but for sensitive data.
|
||||
secrets:
|
||||
# - HF_TOKEN
|
||||
# - WANDB_API_KEY
|
||||
branch: # Git branch to use
|
||||
docker_tag: # Custom Docker image tag
|
||||
volumes: # List of persistent storage volumes
|
||||
env: # Environment variables to pass
|
||||
secrets: # Secrets to inject
|
||||
```
|
||||
|
||||
@@ -109,7 +109,7 @@ datasets:
|
||||
preprocess_shards: # Optional[int] process dataset in N sequential chunks for memory efficiency (exclusive with `shards`)
|
||||
|
||||
name: # Optional[str] name of dataset configuration to load
|
||||
split: train # Optional[str] name of dataset split to load from
|
||||
train_on_split: train # Optional[str] name of dataset split to load from
|
||||
revision: # Optional[str] The specific revision of the dataset to use when loading from the Hugging Face Hub. This can be a commit hash, tag, or branch name. If not specified, the latest version will be used. This parameter is ignored for local datasets.
|
||||
trust_remote_code: # Optional[bool] Trust remote code for untrusted source
|
||||
|
||||
@@ -165,9 +165,7 @@ datasets:
|
||||
content: value
|
||||
# ...
|
||||
|
||||
# Optional[Dict[str, List]]. Roles mapping in the messages.
|
||||
# The format is {target_role: [source_roles]}. All source roles will be mapped to the target role.
|
||||
# The default is:
|
||||
# Optional[Dict[str, List]]. Roles mapping in the messages. The default is:
|
||||
roles:
|
||||
user: ["human", "user"]
|
||||
assistant: ["gpt", "assistant"]
|
||||
@@ -240,10 +238,10 @@ simpo_gamma: 0.5 # Target reward margin for the SimPO loss
|
||||
# grpo
|
||||
trl:
|
||||
use_vllm: # Optional[bool]. Whether to use VLLM for RL training.
|
||||
vllm_server_host: # Optional[str]. Host of the vLLM server to connect to.
|
||||
vllm_server_port: # Optional[int]. Port of the vLLM server to connect to.
|
||||
vllm_server_timeout: # Optional[int]. Total timeout (in seconds) to wait for the vLLM server to respond.
|
||||
vllm_guided_decoding_regex: # Optional[str]. Regex for vLLM guided decoding.
|
||||
vllm_device: # Optional[str]. Device to use for VLLM.
|
||||
vllm_gpu_memory_utilization: # Optional[float]. GPU memory utilization for VLLM.
|
||||
vllm_max_model_len: # Optional[int]. Maximum length of the model for VLLM.
|
||||
vllm_dtype: # Optional[str]. Data type for VLLM.
|
||||
|
||||
beta: # Optional[float]. Beta parameter for the RL training. Same as `rl_beta`. Use
|
||||
max_completion_length: # Optional[int]. Maximum length of the completion for RL training.
|
||||
@@ -322,13 +320,9 @@ total_num_tokens:
|
||||
sample_packing_group_size: 100000
|
||||
# The number of samples which can be packed into one sequence. Increase if using a large sequence_len with many short samples.
|
||||
sample_packing_bin_size: 200
|
||||
sample_pack_sequentially: # Optional[bool]. Whether to pack samples sequentially.
|
||||
|
||||
# whether to concatenate samples during pretraining
|
||||
pretraining_sample_concatenation:
|
||||
|
||||
curriculum_sampling: # Optional[bool]. Whether to use sequential sampling for curriculum learning
|
||||
|
||||
# Use batch flattening for speedups when not using sample_packing
|
||||
batch_flattening:
|
||||
|
||||
@@ -360,27 +354,7 @@ lora_target_modules:
|
||||
# - down_proj
|
||||
# - up_proj
|
||||
lora_target_linear: # If true, will target all linear modules
|
||||
|
||||
# List[int] | int. # The layer indices to transform, otherwise, apply to all layers
|
||||
# https://huggingface.co/docs/peft/v0.15.0/en/package_reference/lora#peft.LoraConfig.layers_to_transform
|
||||
peft_layers_to_transform:
|
||||
|
||||
# Optional[bool]. Whether to use DoRA.
|
||||
# https://huggingface.co/docs/peft/v0.15.0/en/developer_guides/lora#weight-decomposed-low-rank-adaptation-dora
|
||||
peft_use_dora:
|
||||
|
||||
# Optional[bool]. Whether to use RSLoRA.
|
||||
# https://huggingface.co/docs/peft/v0.15.0/en/developer_guides/lora#rank-stabilized-lora
|
||||
peft_use_rslora:
|
||||
|
||||
# Optional[list[tuple[int, int]]]. List of layer indices to replicate.
|
||||
# https://huggingface.co/docs/peft/v0.15.0/en/developer_guides/lora#memory-efficient-layer-replication-with-lora
|
||||
peft_layer_replication:
|
||||
|
||||
# bool | Literal["gaussian", "eva", "olora", "pissa", "pissa_niter_[number of iters]", "corda", "loftq"]
|
||||
# How to initialize LoRA weights. Default to True which is MS original implementation.
|
||||
# https://huggingface.co/docs/peft/v0.15.0/en/developer_guides/lora#initialization
|
||||
peft_init_lora_weights:
|
||||
peft_layers_to_transform: # The layer indices to transform, otherwise, apply to all layers
|
||||
|
||||
# If you added new tokens to the tokenizer, you may need to save some LoRA modules because they need to know the new tokens.
|
||||
# For LLaMA and Mistral, you need to save `embed_tokens` and `lm_head`. It may vary for other models.
|
||||
@@ -512,8 +486,7 @@ train_on_inputs: false
|
||||
# Note that training loss may have an oscillating pattern with this enabled.
|
||||
group_by_length: false
|
||||
|
||||
# Whether to use gradient checkpointing. Available options are: true, false, "offload".
|
||||
# https://huggingface.co/docs/transformers/v4.18.0/en/performance#gradient-checkpointing
|
||||
# Whether to use gradient checkpointing https://huggingface.co/docs/transformers/v4.18.0/en/performance#gradient-checkpointing
|
||||
gradient_checkpointing: false
|
||||
# additional kwargs to pass to the trainer for gradient checkpointing
|
||||
# gradient_checkpointing_kwargs:
|
||||
@@ -614,31 +587,26 @@ max_grad_norm:
|
||||
# currently only supported on Llama and Mistral
|
||||
neftune_noise_alpha:
|
||||
|
||||
# Optional[bool]. Whether to bettertransformers
|
||||
# Whether to bettertransformers
|
||||
flash_optimum:
|
||||
|
||||
# Note: Only one of the following attention patches can be used at a time.
|
||||
# For example, if you set `xformers_attention` to `true`, do not set `flash_attention` to `true`.
|
||||
|
||||
# Optional[bool]. Whether to use xformers attention patch https://github.com/facebookresearch/xformers:
|
||||
# Whether to use xformers attention patch https://github.com/facebookresearch/xformers:
|
||||
xformers_attention:
|
||||
# Optional[bool]. Whether to use flash attention patch https://github.com/Dao-AILab/flash-attention:
|
||||
# Whether to use flash attention patch https://github.com/Dao-AILab/flash-attention:
|
||||
flash_attention:
|
||||
flash_attn_cross_entropy: # Optional[bool]. Whether to use flash-attention cross entropy implementation - advanced use only
|
||||
flash_attn_rms_norm: # Optional[bool]. Whether to use flash-attention rms norm implementation - advanced use only
|
||||
flash_attn_fuse_qkv: # Optional[bool]. Whether to fuse QKV into a single operation
|
||||
flash_attn_fuse_mlp: # Optional[bool]. Whether to fuse part of the MLP into a single operation
|
||||
# Optional[bool]. Whether to use scaled-dot-product attention
|
||||
flash_attn_cross_entropy: # Whether to use flash-attention cross entropy implementation - advanced use only
|
||||
flash_attn_rms_norm: # Whether to use flash-attention rms norm implementation - advanced use only
|
||||
flash_attn_fuse_qkv: # Whether to fuse QKV into a single operation
|
||||
flash_attn_fuse_mlp: # Whether to fuse part of the MLP into a single operation
|
||||
# Whether to use scaled-dot-product attention
|
||||
# https://pytorch.org/docs/stable/generated/torch.nn.functional.scaled_dot_product_attention.html
|
||||
sdp_attention:
|
||||
# Optional[bool]. Shifted-sparse attention (only llama) - https://arxiv.org/pdf/2309.12307.pdf
|
||||
# Shifted-sparse attention (only llama) - https://arxiv.org/pdf/2309.12307.pdf
|
||||
s2_attention:
|
||||
|
||||
# Optional[bool]. Whether to use low_cpu_mem_usage
|
||||
low_cpu_mem_usage:
|
||||
# Optional[str]. Resume from a specific checkpoint dir
|
||||
# Resume from a specific checkpoint dir
|
||||
resume_from_checkpoint:
|
||||
# Optional[bool]. If resume_from_checkpoint isn't set and you simply want it to start where it left off.
|
||||
# If resume_from_checkpoint isn't set and you simply want it to start where it left off.
|
||||
# Be careful with this being turned on between different models.
|
||||
auto_resume_from_checkpoints: false
|
||||
|
||||
|
||||
@@ -13,13 +13,6 @@ As there are a lot of available options in Axolotl, this guide aims to provide a
|
||||
|
||||
Axolotl supports 3 kinds of training methods: pre-training, supervised fine-tuning, and preference-based post-training (e.g. DPO, ORPO, PRMs). Each method has their own dataset format which are described below.
|
||||
|
||||
::: {.callout-tip}
|
||||
|
||||
This guide will mainly use JSONL as an introduction. Please refer to the [dataset loading docs](../dataset_loading.qmd) to understand how to load datasets from other sources.
|
||||
|
||||
For `pretraining_dataset:` specifically, please refer to the [Pre-training section](#pre-training).
|
||||
:::
|
||||
|
||||
## Pre-training
|
||||
|
||||
When aiming to train on large corpora of text datasets, pre-training is your go-to choice. Due to the size of these datasets, downloading the entire-datasets before beginning training would be prohibitively time-consuming. Axolotl supports [streaming](https://huggingface.co/docs/datasets/en/stream) to only load batches into memory at a time.
|
||||
|
||||
@@ -1,276 +0,0 @@
|
||||
---
|
||||
title: Dataset Loading
|
||||
description: Understanding how to load datasets from different sources
|
||||
back-to-top-navigation: true
|
||||
toc: true
|
||||
toc-depth: 5
|
||||
---
|
||||
|
||||
## Overview
|
||||
|
||||
Datasets can be loaded in a number of different ways depending on the how it is saved (the extension of the file) and where it is stored.
|
||||
|
||||
## Loading Datasets
|
||||
|
||||
We use the `datasets` library to load datasets and a mix of `load_dataset` and `load_from_disk` to load them.
|
||||
|
||||
You may recognize the similar named configs between `load_dataset` and the `datasets` section of the config file.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path:
|
||||
name:
|
||||
data_files:
|
||||
split:
|
||||
revision:
|
||||
trust_remote_code:
|
||||
```
|
||||
|
||||
::: {.callout-tip}
|
||||
|
||||
Do not feel overwhelmed by the number of options here. A lot of them are optional. In fact, the most common config to use would be `path` and sometimes `data_files`.
|
||||
|
||||
:::
|
||||
|
||||
This matches the API of [`datasets.load_dataset`](https://github.com/huggingface/datasets/blob/0b5998ac62f08e358f8dcc17ec6e2f2a5e9450b6/src/datasets/load.py#L1838-L1858), so if you're familiar with that, you will feel right at home.
|
||||
|
||||
For HuggingFace's guide to load different dataset types, see [here](https://huggingface.co/docs/datasets/loading).
|
||||
|
||||
For full details on the config, see [config.qmd](config.qmd).
|
||||
|
||||
::: {.callout-note}
|
||||
|
||||
You can set multiple datasets in the config file by more than one entry under `datasets`.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: /path/to/your/dataset
|
||||
- path: /path/to/your/other/dataset
|
||||
```
|
||||
|
||||
:::
|
||||
|
||||
### Local dataset
|
||||
|
||||
#### Files
|
||||
|
||||
Usually, to load a JSON file, you would do something like this:
|
||||
|
||||
```python
|
||||
from datasets import load_dataset
|
||||
|
||||
dataset = load_dataset("json", data_files="data.json")
|
||||
```
|
||||
|
||||
Which translates to the following config:
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: json
|
||||
data_files: /path/to/your/file.jsonl
|
||||
```
|
||||
|
||||
However, to make things easier, we have added a few shortcuts for loading local dataset files.
|
||||
|
||||
You can just point the `path` to the file or directory along with the `ds_type` to load the dataset. The below example shows for a JSON file:
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: /path/to/your/file.jsonl
|
||||
ds_type: json
|
||||
```
|
||||
|
||||
This works for CSV, JSON, Parquet, and Arrow files.
|
||||
|
||||
::: {.callout-tip}
|
||||
|
||||
If `path` points to a file and `ds_type` is not specified, we will automatically infer the dataset type from the file extension, so you could omit `ds_type` if you'd like.
|
||||
|
||||
:::
|
||||
|
||||
#### Directory
|
||||
|
||||
If you're loading a directory, you can point the `path` to the directory.
|
||||
|
||||
Then, you have two options:
|
||||
|
||||
##### Loading entire directory
|
||||
|
||||
You do not need any additional configs.
|
||||
|
||||
We will attempt to load in the following order:
|
||||
- datasets saved with `datasets.save_to_disk`
|
||||
- loading entire directory of files (such as with parquet/arrow files)
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: /path/to/your/directory
|
||||
```
|
||||
|
||||
##### Loading specific files in directory
|
||||
|
||||
Provide `data_files` with a list of files to load.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
# single file
|
||||
- path: /path/to/your/directory
|
||||
ds_type: csv
|
||||
data_files: file1.csv
|
||||
|
||||
# multiple files
|
||||
- path: /path/to/your/directory
|
||||
ds_type: json
|
||||
data_files:
|
||||
- file1.jsonl
|
||||
- file2.jsonl
|
||||
|
||||
# multiple files for parquet
|
||||
- path: /path/to/your/directory
|
||||
ds_type: parquet
|
||||
data_files:
|
||||
- file1.parquet
|
||||
- file2.parquet
|
||||
|
||||
```
|
||||
|
||||
### HuggingFace Hub
|
||||
|
||||
The method you use to load the dataset depends on how the dataset was created, whether a folder was uploaded directly or a HuggingFace Dataset was pushed.
|
||||
|
||||
::: {.callout-note}
|
||||
|
||||
If you're using a private dataset, you will need to enable the `hf_use_auth_token` flag in the root-level of the config file.
|
||||
|
||||
:::
|
||||
|
||||
#### Folder uploaded
|
||||
|
||||
This would mean that the dataset is a single file or file(s) uploaded to the Hub.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: org/dataset-name
|
||||
data_files:
|
||||
- file1.jsonl
|
||||
- file2.jsonl
|
||||
```
|
||||
|
||||
#### HuggingFace Dataset
|
||||
|
||||
This means that the dataset is created as a HuggingFace Dataset and pushed to the Hub via `datasets.push_to_hub`.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: org/dataset-name
|
||||
```
|
||||
|
||||
::: {.callout-note}
|
||||
|
||||
There are some other configs which may be required like `name`, `split`, `revision`, `trust_remote_code`, etc depending on the dataset.
|
||||
|
||||
:::
|
||||
|
||||
### Remote Filesystems
|
||||
|
||||
Via the `storage_options` config under `load_dataset`, you can load datasets from remote filesystems like S3, GCS, Azure, and OCI.
|
||||
|
||||
::: {.callout-warning}
|
||||
|
||||
This is currently experimental. Please let us know if you run into any issues!
|
||||
|
||||
:::
|
||||
|
||||
The only difference between the providers is that you need to prepend the path with the respective protocols.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
# Single file
|
||||
- path: s3://bucket-name/path/to/your/file.jsonl
|
||||
|
||||
# Directory
|
||||
- path: s3://bucket-name/path/to/your/directory
|
||||
```
|
||||
|
||||
For directory, we load via `load_from_disk`.
|
||||
|
||||
#### S3
|
||||
|
||||
Prepend the path with `s3://`.
|
||||
|
||||
The credentials are pulled in the following order:
|
||||
|
||||
- `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, and `AWS_SESSION_TOKEN` environment variables
|
||||
- from the `~/.aws/credentials` file
|
||||
- for nodes on EC2, the IAM metadata provider
|
||||
|
||||
::: {.callout-note}
|
||||
|
||||
We assume you have credentials setup and not using anonymous access. If you want to use anonymous access, let us know! We may have to open a config option for this.
|
||||
|
||||
:::
|
||||
|
||||
Other environment variables that can be set can be found in [boto3 docs](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html#using-environment-variables)
|
||||
|
||||
#### GCS
|
||||
|
||||
Prepend the path with `gs://` or `gcs://`.
|
||||
|
||||
The credentials are loaded in the following order:
|
||||
|
||||
- gcloud credentials
|
||||
- for nodes on GCP, the google metadata service
|
||||
- anonymous access
|
||||
|
||||
#### Azure
|
||||
|
||||
##### Gen 1
|
||||
|
||||
Prepend the path with `adl://`.
|
||||
|
||||
Ensure you have the following environment variables set:
|
||||
|
||||
- `AZURE_STORAGE_TENANT_ID`
|
||||
- `AZURE_STORAGE_CLIENT_ID`
|
||||
- `AZURE_STORAGE_CLIENT_SECRET`
|
||||
|
||||
##### Gen 2
|
||||
|
||||
Prepend the path with `abfs://` or `az://`.
|
||||
|
||||
Ensure you have the following environment variables set:
|
||||
|
||||
- `AZURE_STORAGE_ACCOUNT_NAME`
|
||||
- `AZURE_STORAGE_ACCOUNT_KEY`
|
||||
|
||||
Other environment variables that can be set can be found in [adlfs docs](https://github.com/fsspec/adlfs?tab=readme-ov-file#setting-credentials)
|
||||
|
||||
#### OCI
|
||||
|
||||
Prepend the path with `oci://`.
|
||||
|
||||
It would attempt to read in the following order:
|
||||
|
||||
- `OCIFS_IAM_TYPE`, `OCIFS_CONFIG_LOCATION`, and `OCIFS_CONFIG_PROFILE` environment variables
|
||||
- when on OCI resource, resource principal
|
||||
|
||||
Other environment variables:
|
||||
|
||||
- `OCI_REGION_METADATA`
|
||||
|
||||
Please see the [ocifs docs](https://ocifs.readthedocs.io/en/latest/getting-connected.html#Using-Environment-Variables).
|
||||
|
||||
### HTTPS
|
||||
|
||||
The path should start with `https://`.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: https://path/to/your/dataset/file.jsonl
|
||||
```
|
||||
|
||||
This must be publically accessible.
|
||||
|
||||
## Next steps
|
||||
|
||||
Now that you know how to load datasets, you can learn more on how to load your specific dataset format into your target output format [dataset formats docs](dataset-formats).
|
||||
12
docs/faq.qmd
12
docs/faq.qmd
@@ -35,22 +35,12 @@ description: Frequently asked questions
|
||||
|
||||
**Q: How to call Axolotl via custom python scripts?**
|
||||
|
||||
> A: Since Axolotl is just Python, please see `src/axolotl/cli/main.py` on how each command is called.
|
||||
> A: Yes, since Axolotl is just Python, please see `src/axolotl/cli/main.py` on how each command is called.
|
||||
|
||||
**Q: How to know the value to use for `fsdp_transformer_layer_cls_to_wrap`?**
|
||||
|
||||
> A: This is the class name of the transformer layer to wrap with FSDP. For example, for `LlamaForCausalLM`, the value is `LlamaDecoderLayer`. To find this for a specific model, check the model's `PreTrainedModel` definition and look for `_no_split_modules` variable in the `modeling_<model_name>.py` file within `transformers` library.
|
||||
|
||||
**Q: ValueError: Asking to pad but the tokenizer does not have a padding token. Please select a token to use as pad_token**
|
||||
|
||||
> A: This is because the tokenizer does not have a padding token. Please add a padding token to the tokenizer via:
|
||||
|
||||
> ```yaml
|
||||
> special_tokens:
|
||||
> # str. If you're not sure, set to same as `eos_token`.
|
||||
> pad_token: "..."
|
||||
> ```
|
||||
|
||||
### Chat templates
|
||||
|
||||
**Q: `jinja2.exceptions.UndefinedError: 'dict object' has no attribute 'content' / 'role' / ____`**
|
||||
|
||||
@@ -17,7 +17,6 @@ We currently support several common model architectures, including (but not limi
|
||||
- `qwen2`
|
||||
- `gemma`
|
||||
- `gemma2`
|
||||
- `gemma3`
|
||||
|
||||
<details>
|
||||
|
||||
|
||||
@@ -9,7 +9,6 @@ format:
|
||||
## Supported Models
|
||||
|
||||
- [Mllama](#sec-mllama)
|
||||
- [Llama4](#sec-llama4)
|
||||
- [Pixtral](#sec-pixtral)
|
||||
- [Llava-1.5](#sec-llava-15)
|
||||
- [Mistral-Small-3.1](#sec-mistral-small-31)
|
||||
@@ -64,14 +63,6 @@ base_model: meta-llama/Llama-3.2-11B-Vision-Instruct
|
||||
chat_template: llama3_2_vision
|
||||
```
|
||||
|
||||
### Llama4 {#sec-llama4}
|
||||
|
||||
```yaml
|
||||
base_model: meta-llama/Llama-4-Scout-17B-16E-Instruct
|
||||
|
||||
chat_template: llama4
|
||||
```
|
||||
|
||||
### Pixtral {#sec-pixtral}
|
||||
|
||||
```yaml
|
||||
|
||||
@@ -502,48 +502,9 @@ The input format is a simple JSON input with customizable fields based on the ab
|
||||
Check out our [GRPO cookbook](https://github.com/axolotl-ai-cloud/axolotl-cookbook/tree/main/grpo#training-an-r1-style-large-language-model-using-grpo).
|
||||
:::
|
||||
|
||||
If you have multiple GPUs available, we reccomend using `vLLM` with the `GRPOTrainer` to significantly speedup trajectory generation during training.
|
||||
First, launch a `vLLM` server using `trl vllm-serve` - you may use a config file or CLI overrides to configure your vLLM server. In this example, we're
|
||||
using 4 GPUs - 2 for training, and 2 for vLLM:
|
||||
|
||||
::: {.callout-important}
|
||||
Make sure you've installed the correct version of vLLM by including it as an extra when installing axolotl, e.g. `pip install axolotl[vllm]`.
|
||||
:::
|
||||
|
||||
```yaml
|
||||
base_model: Qwen/Qwen2.5-1.5B-Instruct
|
||||
|
||||
vllm:
|
||||
host: 0.0.0.0
|
||||
port: 8000
|
||||
tensor_parallel_size: 2
|
||||
gpu_memory_utilization: 0.85
|
||||
dtype: auto
|
||||
# max_model_len: # you may find it useful to set the vLLM model context length if you know this beforehand
|
||||
|
||||
rl: grpo
|
||||
trl:
|
||||
use_vllm: true
|
||||
vllm_server_host: 0.0.0.0
|
||||
vllm_server_port: 8000
|
||||
vllm_server_timeout: 300
|
||||
```
|
||||
|
||||
```bash
|
||||
CUDA_VISIBLE_DEVICES=2,3 axolotl vllm_serve grpo.yaml
|
||||
```
|
||||
|
||||
Your `vLLM` instance will now attempt to spin up, and it's time to kick off training utilizing our remaining two GPUs. In another terminal, execute:
|
||||
|
||||
```bash
|
||||
CUDA_VISIBLE_DEVICES=0,1 axolotl train grpo.yaml --num-processes 2
|
||||
```
|
||||
|
||||
#### Reward functions
|
||||
|
||||
GRPO uses custom reward functions and transformations. Please have them ready locally.
|
||||
|
||||
For example, to load OpenAI's GSM8K and use a random reward for completions:
|
||||
For ex, to load OpenAI's GSM8K and use a random reward for completions:
|
||||
|
||||
```python
|
||||
# rewards.py
|
||||
@@ -569,6 +530,8 @@ trl:
|
||||
beta: 0.001
|
||||
max_completion_length: 256
|
||||
use_vllm: True
|
||||
vllm_device: auto
|
||||
vllm_gpu_memory_utilization: 0.15
|
||||
num_generations: 4
|
||||
reward_funcs: ["rewards.rand_reward_func"] # format: '{file_name}.{fn_name}'
|
||||
reward_weights: [1.0]
|
||||
|
||||
@@ -8,6 +8,9 @@ tokenizer_type: GPT2Tokenizer
|
||||
trust_remote_code: true
|
||||
tokenizer_use_fast: true
|
||||
tokenizer_legacy: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
hf_use_auth_token: true
|
||||
@@ -31,6 +34,7 @@ lora_alpha:
|
||||
lora_dropout:
|
||||
lora_target_modules:
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -54,12 +58,16 @@ learning_rate: 0.000085
|
||||
train_on_inputs: true
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
sdp_attention:
|
||||
flash_optimum:
|
||||
@@ -72,6 +80,8 @@ evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
save_total_limit:
|
||||
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
|
||||
@@ -22,6 +22,7 @@ lora_target_modules:
|
||||
- c_attn
|
||||
- c_proj
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -35,10 +36,15 @@ optimizer: paged_adamw_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -47,6 +53,10 @@ gptq_model_v1:
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
|
||||
@@ -26,6 +26,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,18 +41,29 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -26,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -41,18 +43,28 @@ optimizer: paged_adamw_32bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -26,6 +26,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,18 +41,29 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -26,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -41,18 +43,28 @@ optimizer: paged_adamw_32bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -26,6 +26,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,18 +41,29 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -26,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -41,18 +43,28 @@ optimizer: paged_adamw_32bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -44,16 +44,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch:
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -3,6 +3,9 @@ base_model: LnL-AI/dbrx-base-converted-v2
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -45,20 +48,26 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: false # don't use with fsdp_activation_checkpointing
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch:
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -48,20 +48,26 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: false # don't use with fsdp_activation_checkpointing
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch:
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -3,6 +3,9 @@ base_model: LnL-AI/dbrx-base-converted-v2
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -32,19 +35,25 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch:
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
deepspeed: deepspeed_configs/zero3_bf16.json
|
||||
|
||||
@@ -2,6 +2,9 @@ base_model: deepseek-ai/DeepSeek-V2-Lite
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -28,19 +31,27 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 2
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
fsdp:
|
||||
|
||||
@@ -52,19 +52,27 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 2
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
fsdp:
|
||||
|
||||
@@ -25,7 +25,9 @@ max_packed_sequence_len:
|
||||
lora_r: 16
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.0
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -39,10 +41,15 @@ optimizer: adamw_bnb_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00003
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -51,7 +58,11 @@ gptq_model_v1:
|
||||
warmup_steps: 40
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
bos_token: "<|endoftext|>"
|
||||
|
||||
@@ -38,7 +38,9 @@ lora_alpha: 16
|
||||
# 0.05 for 33B and 65B models
|
||||
lora_dropout: 0.05
|
||||
# add LoRA modules on all linear layers of the base model
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -65,7 +67,10 @@ lr_scheduler: cosine
|
||||
# - 2e-4 for 7b & 13b
|
||||
# - 1e-4 for 33b & 64b
|
||||
learning_rate: 0.0002
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
# stop training after this many evaluation losses have increased in a row
|
||||
@@ -73,6 +78,7 @@ gradient_checkpointing: true
|
||||
early_stopping_patience: 3
|
||||
resume_from_checkpoint:
|
||||
auto_resume_from_checkpoints: true
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -81,7 +87,11 @@ gptq_model_v1:
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.000001
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
bos_token: "<|endoftext|>"
|
||||
|
||||
@@ -7,6 +7,9 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
# required by falcon custom model code: https://huggingface.co/tiiuae/falcon-7b/tree/main
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
gptq: false
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
@@ -22,7 +25,9 @@ max_packed_sequence_len:
|
||||
lora_r: 64
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.0
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -36,10 +41,15 @@ optimizer: adamw_bnb_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00003
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -48,7 +58,11 @@ gptq_model_v1:
|
||||
warmup_steps: 40
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
bos_token: "<|endoftext|>"
|
||||
|
||||
@@ -42,16 +42,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -48,16 +48,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch:
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -5,6 +5,9 @@ num_labels: 1
|
||||
tokenizer_type: AutoTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
reward_model: true
|
||||
@@ -35,6 +38,8 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
@@ -42,12 +47,21 @@ tf32: true
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch:
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -5,9 +5,6 @@ tokenizer_type: AutoTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
# gemma3 doesn't seem to play nice with ddp
|
||||
ddp_find_unused_parameters: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
@@ -50,18 +47,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch:
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -2,16 +2,11 @@ base_model: google/gemma-3-4b-it
|
||||
processor_type: AutoProcessor
|
||||
strict: false
|
||||
|
||||
load_in_4bit: true
|
||||
|
||||
# these 3 lines are needed for now to handle vision chat templates w images
|
||||
skip_prepare_dataset: true
|
||||
remove_unused_columns: false
|
||||
sample_packing: false
|
||||
|
||||
# gemma3 doesn't seem to play nice with ddp
|
||||
ddp_find_unused_parameters: true
|
||||
|
||||
chat_template: gemma3
|
||||
datasets:
|
||||
- path: HuggingFaceH4/llava-instruct-mix-vsft
|
||||
@@ -22,7 +17,7 @@ dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.01
|
||||
output_dir: ./outputs/out
|
||||
|
||||
adapter: qlora
|
||||
adapter: lora
|
||||
lora_model_dir:
|
||||
|
||||
sequence_len: 2048
|
||||
@@ -46,13 +41,14 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
eager_attention:
|
||||
@@ -60,4 +56,8 @@ eager_attention:
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
@@ -1,61 +0,0 @@
|
||||
base_model: google/gemma-3-4b-it
|
||||
strict: false
|
||||
|
||||
load_in_4bit: true
|
||||
|
||||
# gemma3 doesn't seem to play nice with ddp
|
||||
ddp_find_unused_parameters: true
|
||||
|
||||
chat_template: gemma3
|
||||
datasets:
|
||||
- path: cgato/SlimOrcaDedupCleaned
|
||||
type: chat_template
|
||||
field_messages: conversations
|
||||
message_property_mappings:
|
||||
role: from
|
||||
content: value
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.01
|
||||
output_dir: ./outputs/out
|
||||
|
||||
adapter: qlora
|
||||
lora_model_dir:
|
||||
|
||||
sequence_len: 2048
|
||||
sample_packing: true
|
||||
pad_to_sequence_len: true
|
||||
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules: 'language_model.model.layers.[\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 4
|
||||
micro_batch_size: 2
|
||||
num_epochs: 1
|
||||
optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
eager_attention:
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
@@ -18,7 +18,9 @@ max_packed_sequence_len:
|
||||
lora_r: 8
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -32,10 +34,15 @@ optimizer: paged_adamw_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0001
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -44,6 +51,10 @@ gptq_model_v1:
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
|
||||
@@ -40,18 +40,26 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
|
||||
@@ -39,20 +39,26 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch:
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
deepspeed: deepspeed_configs/zero2.json
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
|
||||
@@ -39,6 +39,8 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
|
||||
@@ -33,9 +33,13 @@ optimizer: adamw_bnb_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00003
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
tf32: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 5
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -44,7 +48,11 @@ gptq_model_v1:
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -4,6 +4,9 @@ model_type: LlamaForCausalLM
|
||||
tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -23,6 +26,7 @@ lora_r:
|
||||
lora_alpha:
|
||||
lora_dropout:
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -37,12 +41,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
flash_attn_cross_entropy: false
|
||||
flash_attn_rms_norm: true
|
||||
@@ -51,8 +61,11 @@ flash_attn_fuse_mlp: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
deepspeed: #deepspeed_configs/zero2.json # multi-gpu only
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -10,6 +10,8 @@ gptq_disable_exllama: true
|
||||
|
||||
tokenizer_use_fast: true
|
||||
tokenizer_legacy: true
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
hf_use_auth_token: true
|
||||
@@ -31,6 +33,7 @@ lora_target_modules:
|
||||
- q_proj
|
||||
- v_proj
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
@@ -47,19 +50,26 @@ torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
lr_quadratic_warmup: true
|
||||
learning_rate: 0.000017
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: false
|
||||
fp16: false
|
||||
float16: true
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention:
|
||||
sdp_attention:
|
||||
flash_optimum:
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
|
||||
@@ -4,6 +4,9 @@ model_type: LlamaForCausalLM
|
||||
tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -23,6 +26,7 @@ lora_r:
|
||||
lora_alpha:
|
||||
lora_dropout:
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
lisa_n_layers: 4
|
||||
lisa_step_interval: 20
|
||||
@@ -41,12 +45,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 5e-5 # recommendation from lisa paper for 7b
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
flash_attn_cross_entropy: false
|
||||
flash_attn_rms_norm: true
|
||||
@@ -55,8 +65,13 @@ flash_attn_fuse_mlp: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -4,6 +4,9 @@ model_type: LlamaForCausalLM
|
||||
tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -23,6 +26,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
peft:
|
||||
loftq_config:
|
||||
loftq_bits: 4
|
||||
@@ -40,16 +44,29 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -26,6 +26,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,16 +41,29 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -26,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -41,19 +43,28 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -26,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -41,16 +43,27 @@ optimizer: paged_adamw_32bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -24,7 +24,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 8
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
relora_steps: 150
|
||||
relora_warmup_steps: 10
|
||||
@@ -43,18 +45,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -45,11 +45,14 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
eager_attention:
|
||||
@@ -57,4 +60,8 @@ eager_attention:
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
|
||||
@@ -42,19 +42,27 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 2
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -1,6 +1,9 @@
|
||||
base_model: NousResearch/Meta-Llama-3.1-8B
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -27,19 +30,29 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 2
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: <|end_of_text|>
|
||||
|
||||
@@ -42,6 +42,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -56,15 +57,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
|
||||
@@ -37,6 +37,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -51,17 +52,30 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: <|end_of_text|>
|
||||
|
||||
@@ -58,6 +58,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -72,15 +73,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
|
||||
@@ -31,6 +31,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_modules_to_save:
|
||||
- embed_tokens
|
||||
- lm_head
|
||||
@@ -48,17 +49,30 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: <|end_of_text|>
|
||||
|
||||
@@ -1,6 +1,9 @@
|
||||
base_model: NousResearch/Llama-3.2-1B
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -21,6 +24,7 @@ lora_r: 16
|
||||
lora_alpha: 32
|
||||
# Currently, we don't support dropout with our custom Triton kernels
|
||||
# lora_dropout: 0.05
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -49,12 +53,18 @@ optimizer: adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -63,6 +73,10 @@ loss_watchdog_patience: 3
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
@@ -1,6 +1,9 @@
|
||||
base_model: NousResearch/Llama-3.2-1B
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -21,6 +24,7 @@ pad_to_sequence_len: true
|
||||
lora_r: 16
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.05
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -43,12 +47,18 @@ optimizer: adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -57,9 +67,11 @@ loss_watchdog_patience: 3
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
deepspeed: deepspeed_configs/zero3.json
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
|
||||
@@ -1,66 +0,0 @@
|
||||
base_model: meta-llama/Llama-3.2-1B
|
||||
# optionally might have model_type or tokenizer_type
|
||||
model_type: LlamaForCausalLM
|
||||
tokenizer_type: AutoTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
type: alpaca
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
type: alpaca
|
||||
dataset_prepared_path:
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/lora-out
|
||||
|
||||
test_value: true
|
||||
|
||||
sequence_len: 4096
|
||||
sample_packing: true
|
||||
sample_packing_sequentially: true
|
||||
curriculum_sampling: true
|
||||
eval_sample_packing: false
|
||||
pad_to_sequence_len: true
|
||||
|
||||
adapter: lora
|
||||
lora_model_dir:
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_modules_to_save:
|
||||
- embed_tokens
|
||||
- lm_head
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 4
|
||||
micro_batch_size: 2
|
||||
num_epochs: 4
|
||||
optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
bf16: auto
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
pad_token: <|end_of_text|>
|
||||
@@ -1,6 +1,9 @@
|
||||
base_model: NousResearch/Llama-3.2-1B
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -21,6 +24,7 @@ pad_to_sequence_len: true
|
||||
lora_r: 16
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.05
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -43,12 +47,18 @@ optimizer: adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -57,6 +67,10 @@ loss_watchdog_patience: 3
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
@@ -27,6 +27,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_modules_to_save:
|
||||
- embed_tokens
|
||||
- lm_head
|
||||
@@ -44,17 +45,30 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: <|end_of_text|>
|
||||
|
||||
@@ -32,6 +32,7 @@ lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -46,19 +47,31 @@ optimizer: adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
@@ -24,6 +24,7 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -46,12 +47,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -59,7 +66,13 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
@@ -24,6 +24,7 @@ pad_to_sequence_len: true
|
||||
lora_r: 16
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
|
||||
gradient_accumulation_steps: 4
|
||||
@@ -33,6 +34,8 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
|
||||
@@ -26,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 8
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -41,19 +43,28 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -26,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -41,17 +43,28 @@ optimizer: paged_adamw_32bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
@@ -1,10 +0,0 @@
|
||||
# Llama 4 by Meta AI
|
||||
|
||||
## Available Examples
|
||||
|
||||
### Llama 4 Scout 17Bx16Experts (109B)
|
||||
- [Multi-Modal/Vision QLoRA w/ FSDP1](./scout-vision-qlora-fsdp.yaml)
|
||||
- [Text Single GPU (H100) QLoRA](./scout-qlora-single-h100.yaml)
|
||||
- [Text Multi GPU QLoRA w/ FSDP1](./scout-qlora-fsdp1.yaml)
|
||||
|
||||
Our Single GPU implementation for Llama 4 Scout uses only 68.5GB VRAM for post-training with 4k context length @ 546 tokens/second.
|
||||
@@ -1,93 +0,0 @@
|
||||
base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
|
||||
model_type: Llama4ForConditionalGeneration
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
strict: false
|
||||
|
||||
# torch_compile: true
|
||||
plugins:
|
||||
- axolotl.integrations.liger.LigerPlugin
|
||||
|
||||
liger_glu_activation: true
|
||||
liger_rms_norm: true
|
||||
liger_layer_norm: true
|
||||
|
||||
llama4_linearized_experts: true
|
||||
load_in_4bit: true
|
||||
adapter: qlora
|
||||
lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_target_modules:
|
||||
- self_attn.q_proj
|
||||
- self_attn.k_proj
|
||||
- self_attn.v_proj
|
||||
- self_attn.o_proj
|
||||
- shared_expert.gate_proj
|
||||
- shared_expert.up_proj
|
||||
- shared_expert.down_proj
|
||||
# - experts.gate_projs.[0-9]+$
|
||||
# - experts.up_projs.[0-9]+$
|
||||
# - experts.down_projs.[0-9]+$
|
||||
lora_modules_to_save:
|
||||
- lm_head
|
||||
- embed_tokens
|
||||
|
||||
chat_template: llama4
|
||||
datasets:
|
||||
- path: mlabonne/FineTome-100k
|
||||
type: chat_template
|
||||
split: train[:20%]
|
||||
field_messages: conversations
|
||||
message_property_mappings:
|
||||
role: from
|
||||
content: value
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/out
|
||||
|
||||
sequence_len: 4096
|
||||
sample_packing: true
|
||||
pad_to_sequence_len: true
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 1
|
||||
num_epochs: 1
|
||||
optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- auto_wrap
|
||||
- full_shard
|
||||
fsdp_config:
|
||||
fsdp_transformer_layer_cls_to_wrap: Llama4TextDecoderLayer
|
||||
fsdp_limit_all_gathers: true
|
||||
fsdp_sync_module_states: true
|
||||
fsdp_offload_params: true
|
||||
fsdp_use_orig_params: false
|
||||
fsdp_cpu_ram_efficient_loading: true
|
||||
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
||||
fsdp_state_dict_type: FULL_STATE_DICT
|
||||
fsdp_sharding_strategy: FULL_SHARD
|
||||
fsdp_activation_checkpointing: true
|
||||
special_tokens:
|
||||
pad_token: <|finetune_right_pad_id|>
|
||||
eos_token: <|eot|>
|
||||
@@ -1,86 +0,0 @@
|
||||
base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
|
||||
model_type: Llama4ForConditionalGeneration
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
strict: false
|
||||
|
||||
plugins:
|
||||
- axolotl.integrations.liger.LigerPlugin
|
||||
|
||||
liger_glu_activation: true
|
||||
liger_rms_norm: true
|
||||
liger_layer_norm: true
|
||||
|
||||
llama4_linearized_experts: true
|
||||
load_in_4bit: true
|
||||
adapter: qlora
|
||||
lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_target_modules:
|
||||
- self_attn.q_proj
|
||||
- self_attn.k_proj
|
||||
- self_attn.v_proj
|
||||
- self_attn.o_proj
|
||||
- shared_expert.gate_proj
|
||||
- shared_expert.up_proj
|
||||
- shared_expert.down_proj
|
||||
# - experts.gate_projs.[0-9]+$
|
||||
# - experts.up_projs.[0-9]+$
|
||||
# - experts.down_projs.[0-9]+$
|
||||
lora_modules_to_save:
|
||||
# - lm_head
|
||||
# - embed_tokens
|
||||
|
||||
lora_mlp_kernel: true
|
||||
lora_qkv_kernel: true
|
||||
lora_o_kernel: true
|
||||
|
||||
chat_template: llama4
|
||||
datasets:
|
||||
- path: mlabonne/FineTome-100k
|
||||
type: chat_template
|
||||
split: train[:20%]
|
||||
field_messages: conversations
|
||||
message_property_mappings:
|
||||
role: from
|
||||
content: value
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/out
|
||||
|
||||
sequence_len: 4096 # up to 8k will work on a single H100
|
||||
sample_packing: true
|
||||
pad_to_sequence_len: true
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 1
|
||||
num_epochs: 1
|
||||
optimizer: adamw_torch_4bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 1e-4
|
||||
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
gradient_checkpointing: offload
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
pad_token: <|finetune_right_pad_id|>
|
||||
eos_token: <|eot|>
|
||||
@@ -1,89 +0,0 @@
|
||||
base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
|
||||
model_type: Llama4ForConditionalGeneration
|
||||
processor_type: Llama4Processor
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
strict: false
|
||||
|
||||
# these 3 lines are needed for now to handle vision chat templates w images
|
||||
skip_prepare_dataset: true
|
||||
remove_unused_columns: false
|
||||
sample_packing: false
|
||||
|
||||
sequence_len: 4096
|
||||
|
||||
plugins:
|
||||
- axolotl.integrations.liger.LigerPlugin
|
||||
|
||||
liger_glu_activation: true
|
||||
liger_rms_norm: true
|
||||
liger_layer_norm: true
|
||||
|
||||
llama4_linearized_experts: true # use Axolotl's customized model
|
||||
load_in_4bit: true
|
||||
adapter: qlora
|
||||
lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_target_modules:
|
||||
- self_attn.q_proj
|
||||
- self_attn.k_proj
|
||||
- self_attn.v_proj
|
||||
- self_attn.o_proj
|
||||
- shared_expert.gate_proj
|
||||
- shared_expert.up_proj
|
||||
- shared_expert.down_proj
|
||||
- vision_adapter.mlp.fc1
|
||||
- vision_adapter.mlp.fc2
|
||||
# - experts.gate_projs.[0-9]+$
|
||||
# - experts.up_projs.[0-9]+$
|
||||
# - experts.down_projs.[0-9]+$
|
||||
lora_modules_to_save:
|
||||
- lm_head
|
||||
- embed_tokens
|
||||
|
||||
chat_template: llama4
|
||||
datasets:
|
||||
- path: HuggingFaceH4/llava-instruct-mix-vsft
|
||||
type: chat_template
|
||||
split: train[:1%]
|
||||
field_messages: messages
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/out
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 1
|
||||
num_epochs: 1
|
||||
optimizer: adamw_torch_4bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- auto_wrap
|
||||
- full_shard
|
||||
fsdp_config:
|
||||
fsdp_transformer_layer_cls_to_wrap: Llama4TextDecoderLayer
|
||||
fsdp_limit_all_gathers: true
|
||||
fsdp_sync_module_states: true
|
||||
fsdp_offload_params: true
|
||||
fsdp_use_orig_params: false
|
||||
fsdp_cpu_ram_efficient_loading: true
|
||||
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
||||
fsdp_state_dict_type: FULL_STATE_DICT
|
||||
fsdp_sharding_strategy: FULL_SHARD
|
||||
fsdp_activation_checkpointing: true
|
||||
special_tokens:
|
||||
pad_token: <|finetune_right_pad_id|>
|
||||
eos_token: <|eot|>
|
||||
@@ -41,11 +41,14 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
eager_attention:
|
||||
@@ -53,4 +56,8 @@ eager_attention:
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
|
||||
@@ -5,6 +5,9 @@ tokenizer_type: AutoTokenizer
|
||||
tokenizer_config: EleutherAI/gpt-neox-20b
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -35,17 +38,27 @@ train_on_inputs: false
|
||||
group_by_length: true
|
||||
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
tokens:
|
||||
save_safetensors: False
|
||||
|
||||
@@ -6,6 +6,9 @@ tokenizer_type: LlamaTokenizer
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
unfrozen_parameters:
|
||||
@@ -37,19 +40,27 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
save_total_limit: 1
|
||||
save_steps:
|
||||
|
||||
debug:
|
||||
deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_params.json
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
eos_token: "<|im_end|>"
|
||||
tokens:
|
||||
|
||||
@@ -4,6 +4,9 @@ model_type: MistralForCausalLM
|
||||
tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -31,16 +34,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.000005
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -4,6 +4,9 @@ model_type: MistralForCausalLM
|
||||
tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -25,6 +28,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -47,13 +51,18 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16: false
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: false
|
||||
sdp_attention: true
|
||||
|
||||
@@ -62,6 +71,12 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_table_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -27,6 +27,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -49,12 +50,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -62,6 +69,12 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -40,6 +40,7 @@ lora_r: 8
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.2
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
@@ -66,18 +67,31 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: false
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<|im_start|>"
|
||||
eos_token: "<|im_end|>"
|
||||
|
||||
@@ -32,6 +32,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -46,12 +47,18 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -59,8 +66,10 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -32,6 +32,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -54,12 +55,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -67,6 +74,12 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -43,11 +43,14 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
flash_attention: false # PixtralVisionModel does not support Flash Attention 2.0 yet.
|
||||
eager_attention:
|
||||
@@ -55,5 +58,9 @@ eager_attention:
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -30,6 +30,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -44,12 +45,18 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -57,8 +64,10 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -32,6 +32,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -46,12 +47,18 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -59,8 +66,10 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -41,6 +41,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
#lora_target_modules:
|
||||
# - gate
|
||||
# - q_proj
|
||||
@@ -64,12 +65,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -77,8 +84,12 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
deepspeed: deepspeed_configs/zero2.json
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -6,6 +6,9 @@ tokenizer_type: LlamaTokenizer
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
unfrozen_parameters:
|
||||
@@ -35,19 +38,27 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
save_total_limit: 1
|
||||
save_steps:
|
||||
|
||||
debug:
|
||||
deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_all.json
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
eos_token: "<|im_end|>"
|
||||
tokens:
|
||||
|
||||
@@ -27,6 +27,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -49,12 +50,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -62,6 +69,12 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -35,17 +35,26 @@ optimizer: adamw_bnb_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0000002
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
tf32: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 5
|
||||
xformers_attention:
|
||||
flash_attention:
|
||||
gptq_groupsize:
|
||||
gptq_model_v1:
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0001
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
tokens:
|
||||
pad_token: "<|padding|>"
|
||||
bos_token: "<|endoftext|>"
|
||||
|
||||
@@ -4,6 +4,9 @@ model_type: LlamaForCausalLM
|
||||
tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
datasets:
|
||||
@@ -20,6 +23,7 @@ lora_alpha:
|
||||
lora_dropout:
|
||||
lora_target_modules:
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -33,20 +37,29 @@ optimizer: adamw_bnb_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.000003
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
float16: true
|
||||
bf16: false
|
||||
fp16: false
|
||||
tf32: false
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
gptq_groupsize:
|
||||
gptq_model_v1:
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -29,6 +29,7 @@ lora_target_modules:
|
||||
- v_proj
|
||||
- k_proj
|
||||
- o_proj
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -42,19 +43,29 @@ optimizer: adamw_bnb_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: false
|
||||
fp16: true
|
||||
tf32: false
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
gptq_groupsize:
|
||||
s2_attention:
|
||||
gptq_model_v1:
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -21,7 +21,9 @@ sample_packing: true
|
||||
lora_r: 8
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -35,19 +37,28 @@ optimizer: paged_adamw_32bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: false
|
||||
fp16: true
|
||||
tf32: false
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
gptq_groupsize:
|
||||
gptq_model_v1:
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -37,6 +37,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -51,16 +52,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bfloat16: true
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 4
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
|
||||
@@ -4,6 +4,9 @@ model_type: AutoModelForCausalLM
|
||||
tokenizer_type: AutoTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -24,6 +27,7 @@ lora_r:
|
||||
lora_alpha:
|
||||
lora_dropout:
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -41,20 +45,30 @@ max_grad_norm: 1.0
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.000003
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: True
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
resize_token_embeddings_to_32x: true
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
|
||||
@@ -27,6 +27,7 @@ lora_r: 64
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -44,20 +45,30 @@ max_grad_norm: 1.0
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.000003
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: True
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
resize_token_embeddings_to_32x: true
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
|
||||
@@ -4,6 +4,9 @@ model_type: AutoModelForCausalLM
|
||||
tokenizer_type: AutoTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -24,6 +27,7 @@ lora_r:
|
||||
lora_alpha:
|
||||
lora_dropout:
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -41,20 +45,30 @@ max_grad_norm: 1.0
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.000003
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: True
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
resize_token_embeddings_to_32x: true
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
|
||||
@@ -4,6 +4,9 @@ model_type: AutoModelForCausalLM
|
||||
tokenizer_type: AutoTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
@@ -25,6 +28,7 @@ lora_r:
|
||||
lora_alpha:
|
||||
lora_dropout:
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project: phi3
|
||||
wandb_entity:
|
||||
@@ -42,19 +46,27 @@ max_grad_norm: 1.0
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.000003
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user