60 lines
1.3 KiB
YAML
60 lines
1.3 KiB
YAML
base_model: zai-org/GLM-4.5-Air
|
|
# Automatically upload checkpoint and final model to HF
|
|
# hub_model_id: username/custom_model_name
|
|
|
|
plugins:
|
|
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
|
|
|
|
experimental_skip_move_to_device: true # prevent OOM by NOT putting model to GPU before sharding
|
|
|
|
datasets:
|
|
- path: winglian/pirate-ultrachat-10k
|
|
type: chat_template
|
|
dataset_prepared_path: last_run_prepared
|
|
val_set_size: 0
|
|
output_dir: ./outputs/qlora-out
|
|
|
|
sequence_len: 2048
|
|
sample_packing: true
|
|
eval_sample_packing: true
|
|
|
|
wandb_project:
|
|
wandb_entity:
|
|
wandb_watch:
|
|
wandb_name:
|
|
wandb_log_model:
|
|
|
|
gradient_accumulation_steps: 1
|
|
micro_batch_size: 1
|
|
num_epochs: 1
|
|
optimizer: adamw_torch_4bit
|
|
lr_scheduler: cosine
|
|
learning_rate: 0.0002
|
|
|
|
bf16: auto
|
|
tf32: false
|
|
|
|
# gradient_checkpointing: true
|
|
resume_from_checkpoint:
|
|
logging_steps: 1
|
|
flash_attention: true
|
|
|
|
loss_watchdog_threshold: 5.0
|
|
loss_watchdog_patience: 3
|
|
|
|
warmup_ratio: 0.1
|
|
evals_per_epoch: 1
|
|
saves_per_epoch: 1
|
|
weight_decay: 0.0
|
|
special_tokens:
|
|
|
|
fsdp_version: 2
|
|
fsdp_config:
|
|
offload_params: false
|
|
cpu_ram_efficient_loading: true
|
|
auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
|
transformer_layer_cls_to_wrap: Glm4MoeDecoderLayer
|
|
state_dict_type: SHARDED_STATE_DICT
|
|
reshard_after_forward: true
|
|
activation_checkpointing: true
|