base_model: google/gemma-2-9b | |
model_type: AutoModelForCausalLM | |
tokenizer_type: AutoTokenizer | |
load_in_8bit: true | |
load_in_4bit: false | |
strict: false | |
# huggingface repo | |
chat_template: gemma | |
datasets: | |
- path: cgato/SlimOrcaDedupCleaned | |
type: chat_template | |
chat_template: gemma | |
drop_system_message: true | |
val_set_size: 0.0 | |
output_dir: ./outputs/out | |
adapter: lora | |
lora_r: 32 | |
lora_alpha: 16 | |
lora_dropout: 0.05 | |
lora_target_linear: true | |
lora_modules_to_save: | |
- embed_tokens | |
- lm_head | |
sequence_len: 2048 | |
sample_packing: true | |
eval_sample_packing: false | |
pad_to_sequence_len: true | |
wandb_project: gemma2-exp | |
wandb_entity: oaaic | |
wandb_watch: | |
wandb_name: | |
wandb_log_model: | |
gradient_accumulation_steps: 4 | |
micro_batch_size: 4 | |
num_epochs: 1 | |
optimizer: adamw_bnb_8bit | |
adam_beta2: 0.95 | |
adam_eps: 0.00001 | |
max_grad_norm: 1.0 | |
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: | |
flash_attention: true | |
warmup_ratio: 0.1 | |
evals_per_epoch: | |
eval_table_size: | |
eval_max_new_tokens: 128 | |
saves_per_epoch: 2 | |
debug: | |
deepspeed: | |
weight_decay: 0.1 | |
fsdp: | |
fsdp_config: | |
special_tokens: | |