3d8425fa91
* LoRA + activation fn Triton kernels: initial commit * implementing optims * finalizing MLP LoRA kernels and progress on QKV / W kernels * updates * O projection optim * adding monkey patching logic * doc strings, typing, pre-commit fixes * updates * adding lora 8b kernels example * working on fsdp support * tests and fixes * small fixes, getting tests to pass, adding doc strings * integration tests for LoRA patching * config.qmd * remove unneeded pytest fixture * fix * review comments first pass * improving tests, attention class agnostic patching * adding support for more archs * wip SiLU / GELU impls * improved testing, small updates, etc. * slightly updating docs * rebase * fixing test_attention_patching_integration * additional review comments, fixing test in CI (hopefully) * isolating problematic patching test * relaxing allclose threshold to reduce flakiness * fixing accidental change * adding model arch agnostic attention class fetching * removing unused activations
83 lines
1.5 KiB
YAML
83 lines
1.5 KiB
YAML
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:
|
|
- path: teknium/GPT4-LLM-Cleaned
|
|
type: alpaca
|
|
dataset_prepared_path: last_run_prepared
|
|
val_set_size: 0.1
|
|
output_dir: ./outputs/lora-out
|
|
|
|
adapter: lora
|
|
lora_model_dir:
|
|
|
|
sequence_len: 2048
|
|
sample_packing: true
|
|
pad_to_sequence_len: true
|
|
|
|
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
|
|
- up_proj
|
|
- q_proj
|
|
- v_proj
|
|
- k_proj
|
|
- o_proj
|
|
|
|
# These options enable our custom Triton kernels / autograd
|
|
# functions for MLP and attention calculations
|
|
lora_mlp_kernel: true
|
|
lora_qkv_kernel: true
|
|
lora_o_kernel: true
|
|
|
|
wandb_project:
|
|
wandb_entity:
|
|
wandb_watch:
|
|
wandb_name:
|
|
wandb_log_model:
|
|
|
|
gradient_accumulation_steps: 2
|
|
micro_batch_size: 2
|
|
num_epochs: 1
|
|
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
|
|
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|>"
|