Configs / gemma2FFT.yaml
Delta-Vector's picture
Upload 10 files
a224ed8 verified
raw
history blame
1.46 kB
base_model: google/gemma-2-9b
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
chat_template: gemma
train_on_eos: true
datasets:
- path: NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered
type: chat_template
chat_template: gemma
drop_system_message: true
- path: NewEden/Gryphe-3.5-16k-Subset
type: chat_template
chat_template: gemma
drop_system_message: true
- path: Epiculous/Synthstruct-Gens-v1-Filtered-n-Cleaned
type: chat_template
chat_template: gemma
drop_system_message: true
val_set_size: 0.02
output_dir: ./outputs/out
sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true
wandb_project: Magnum9B
wandb_entity:
wandb_watch:
wandb_name: Magnum9B
wandb_log_model:
gradient_accumulation_steps: 12
micro_batch_size: 1
num_epochs: 1
#optimizer: adamw_bnb_8bit
optimizer: paged_adamw_8bit
lr_scheduler: cosine
#learning_rate: 1e-5
learning_rate: 8e-6
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: true
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
deepspeed: ./deepspeed_configs/zero3_bf16.json
warmup_steps: 15
evals_per_epoch: 0
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 5
save_total_limit: 3
debug:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens: