move unmaintained examples to archive (#2903) [skip ci]

This commit is contained in:
Wing Lian
2025-07-12 11:39:51 -04:00
committed by GitHub
parent d6e4a611e5
commit fb7bc9250d
50 changed files with 5 additions and 0 deletions

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base_model: tiiuae/falcon-7b
# optionally might have model_type or tokenizer_type
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
# Automatically upload checkpoint and final model to HF
# hub_model_id: username/custom_model_name
# required by falcon custom model code: https://huggingface.co/tiiuae/falcon-7b/tree/main
trust_remote_code: true
load_in_8bit: true
load_in_4bit: false
gptq: false
push_dataset_to_hub:
datasets:
- path: teknium/GPT4-LLM-Cleaned
type: alpaca:chat
dataset_prepared_path:
val_set_size: 0.05
adapter: lora
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len:
lora_r: 16
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
output_dir: ./outputs/falcon-7b
batch_size: 2
micro_batch_size: 1
num_epochs: 4
optimizer: adamw_bnb_8bit
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.00003
bf16: auto
tf32: true
gradient_checkpointing: true
resume_from_checkpoint:
logging_steps: 1
xformers_attention: true
flash_attention:
gptq_groupsize:
gptq_model_v1:
warmup_steps: 40
evals_per_epoch: 4
saves_per_epoch: 1
weight_decay: 0.0
special_tokens:
pad_token: "<|endoftext|>"
bos_token: "<|endoftext|>"
eos_token: "<|endoftext|>"

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# 1b: tiiuae/falcon-rw-1b
# 40b: tiiuae/falcon-40b
base_model: tiiuae/falcon-7b
# optionally might have model_type or tokenizer_type
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
# Automatically upload checkpoint and final model to HF
# hub_model_id: username/custom_model_name
# required by falcon custom model code: https://huggingface.co/tiiuae/falcon-7b/tree/main
trust_remote_code: true
load_in_8bit: false
# enable 4bit for QLoRA
load_in_4bit: true
gptq: false
push_dataset_to_hub:
datasets:
- path: QingyiSi/Alpaca-CoT
data_files:
- Chain-of-Thought/formatted_cot_data/gsm8k_train.json
type: "alpaca:chat"
dataset_prepared_path:
val_set_size: 0.05
# enable QLoRA
adapter: qlora
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len:
# hyperparameters from QLoRA paper Appendix B.2
# "We find hyperparameters to be largely robust across datasets"
lora_r: 64
lora_alpha: 16
# 0.1 for models up to 13B
# 0.05 for 33B and 65B models
lora_dropout: 0.05
# add LoRA modules on all linear layers of the base model
lora_target_linear: true
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
output_dir: ./outputs/qlora-out
# QLoRA paper Table 9
# - 16 for 7b & 13b
# - 32 for 33b, 64 for 64b
# Max size tested on A6000
# - 7b: 40
# - 40b: 4
# decrease if OOM, increase for max VRAM utilization
micro_batch_size: 1
gradient_accumulation_steps: 2
num_epochs: 4
# Optimizer for QLoRA
optimizer: paged_adamw_32bit
torchdistx_path:
lr_scheduler: cosine
# QLoRA paper Table 9
# - 2e-4 for 7b & 13b
# - 1e-4 for 33b & 64b
learning_rate: 0.0002
bf16: auto
tf32: true
gradient_checkpointing: true
# stop training after this many evaluation losses have increased in a row
# https://huggingface.co/transformers/v4.2.2/_modules/transformers/trainer_callback.html#EarlyStoppingCallback
early_stopping_patience: 3
resume_from_checkpoint:
auto_resume_from_checkpoints: true
logging_steps: 1
xformers_attention: true
flash_attention:
gptq_groupsize:
gptq_model_v1:
warmup_steps: 10
evals_per_epoch: 4
saves_per_epoch: 1
weight_decay: 0.000001
special_tokens:
pad_token: "<|endoftext|>"
bos_token: "<|endoftext|>"
eos_token: "<|endoftext|>"

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base_model: tiiuae/falcon-7b
# optionally might have model_type or tokenizer_type
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
# Automatically upload checkpoint and final model to HF
# hub_model_id: username/custom_model_name
# required by falcon custom model code: https://huggingface.co/tiiuae/falcon-7b/tree/main
trust_remote_code: true
gptq: false
push_dataset_to_hub:
datasets:
- path: teknium/GPT4-LLM-Cleaned
type: alpaca:chat
dataset_prepared_path:
val_set_size: 0.05
adapter:
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len:
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
output_dir: ./outputs/falcon-7b
batch_size: 2
micro_batch_size: 1
num_epochs: 4
optimizer: adamw_bnb_8bit
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.00003
bf16: auto
tf32: true
gradient_checkpointing: true
resume_from_checkpoint:
logging_steps: 1
xformers_attention: true
flash_attention:
gptq_groupsize:
gptq_model_v1:
warmup_steps: 40
evals_per_epoch: 4
saves_per_epoch: 1
weight_decay: 0.0
special_tokens:
pad_token: "<|endoftext|>"
bos_token: "<|endoftext|>"
eos_token: "<|endoftext|>"