74 lines
1.3 KiB
YAML
74 lines
1.3 KiB
YAML
base_model: google/gemma-3-1b-it
|
|
|
|
# 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
|
|
|
|
# huggingface repo
|
|
chat_template: gemma3
|
|
eot_tokens:
|
|
- <end_of_turn>
|
|
datasets:
|
|
- path: cgato/SlimOrcaDedupCleaned
|
|
type: chat_template
|
|
field_messages: conversations
|
|
message_property_mappings:
|
|
role: from
|
|
content: value
|
|
|
|
val_set_size: 0.0
|
|
output_dir: ./outputs/out
|
|
|
|
# Freeze vision tower
|
|
unfrozen_parameters:
|
|
- ^model.language_model.*
|
|
- ^lm_head.*
|
|
|
|
adapter: qlora
|
|
lora_r: 32
|
|
lora_alpha: 16
|
|
lora_dropout: 0
|
|
lora_target_linear: true
|
|
|
|
sequence_len: 2048
|
|
sample_packing: true
|
|
eval_sample_packing: false
|
|
|
|
|
|
wandb_project:
|
|
wandb_entity:
|
|
wandb_watch:
|
|
wandb_name:
|
|
wandb_log_model:
|
|
|
|
|
|
gradient_accumulation_steps: 4
|
|
micro_batch_size: 1
|
|
num_epochs: 4
|
|
optimizer: adamw_bnb_8bit
|
|
lr_scheduler: cosine
|
|
learning_rate: 0.0002
|
|
|
|
bf16: auto
|
|
tf32: true
|
|
|
|
gradient_checkpointing: true
|
|
gradient_checkpointing_kwargs:
|
|
use_reentrant: false
|
|
resume_from_checkpoint:
|
|
logging_steps: 1
|
|
flash_attention: true
|
|
|
|
warmup_ratio: 0.1
|
|
evals_per_epoch:
|
|
saves_per_epoch: 1
|
|
weight_decay: 0.0
|
|
special_tokens:
|
|
|
|
# save_first_step: true # uncomment this to validate checkpoint saving works with your config
|