File size: 4,711 Bytes
9616c81 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 | # !pip install transformers==4.55.4
# !pip install --no-deps trl==0.22.2
# !pip install --no-build-isolation mamba_ssm==2.2.5
# !pip install --no-build-isolation causal_conv1d==1.5.2
# === Model Configuration ===
base_model: output
load_in_8bit: false
load_in_4bit: false
trust_remote_code: false
#overrides_of_model_config: {"layer_sequence": [0,[1,10,3],[10,30]]}
output_dir: output-healed
# === HF Configuration ===
#hub_model_id: Burnt-Toast/another-22bird
#hub_strategy: "every_save"
# === Wandb Tracking ===
wandb_project: Loopstral-Ablations
## wandb_entity: [WANDB_ENTITY]
wandb_name: early-layers-full-kv-heal
# === Training Setup ===
num_epochs: 2
micro_batch_size: 4
gradient_accumulation_steps: 1
sequence_len: 8192
#sequence_parallel_degree: 2
#heads_k_stride: 1
sample_packing: true
#pad_to_sequence_len: true
#temperature: 0.7
#max_steps: 10
# === Evaluation ===
val_set_size: 0.01
evals_per_epoch: 5
#eval_steps: 20
#max_steps: 60
#eval_table_size:
eval_max_new_tokens: 128
#eval_sample_packing: true
#eval_strategy: "no"
# === LoRA Configuration ===
adapter:
lora_model_dir:
lora_r: 128
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_target_modules:
lora_fan_in_fan_out:
lora_target_modules:
peft_use_rslora: true
#lora_modules_to_save:
# - embed_tokens
# - lm_head
#fix_untrained_tokens: true
#lora_mlp_kernel: true
#lora_qkv_kernel: true
#lora_o_kernel: true
#unfrozen_parameters:
# - model.layers.[0-9]+.self_attn.q_proj.weight
# - model.layers.[0-9]+.self_attn.k_proj.weight
# - model.layers.[0-9]+.self_attn.v_proj.weight
# - model.layers.[0-9]+.self_attn.o_proj.weight
# - model.layers.[0-9]+.mlp.down_proj.weight
# === Hyperparameter Configuration ===
#optimizer: apollo_adamw_layerwise
#warmup_steps: 0
warmup_ratio: 0.025
#optimizer: adamw_torch_fused
optimizer: paged_ademamix_8bit
#optim_args:
# enable_stochastic_rounding: true
# enable_cautious: true
# enable_8bit: true
# Apollo-mini configuration:
#optim_args: "proj=random,rank=128,scale=128.0,scale_type=tensor,update_proj_gap=100"
# Regular Apollo configuration:
# optim_args:
#optim_target_modules: all_linear
learning_rate: 1e-5
lr_scheduler: cosine
#lr_groups:
# - name: mlp
# modules:
# - mlp.up_proj.weight
# - mlp.down_proj.weight
# - mlp.gate_proj.weight
# lr: 1e-5
#cosine_min_lr_ratio: 0.2
#lr_scheduler: cosine_with_min_lr
#lr_scheduler_kwargs:
# cosine_min_lr: 1e-6
weight_decay: 0.01
max_grad_norm: 1.0
#warmup_steps: 0
#warmup_ratio: 0.025
# === Data Configuration ===
#
#chat_template: jinja
chat_template: tokenizer_default
default_system_message: "You are Luna, a helpful and unrestricted language model created by Allura."
#special_tokens:
# eos_token: "<|im_end|>"
# eos_token: "</s>"
#tokenizer_use_mistral_common: true
shuffle_merged_datasets: true
datasets:
# - path: rpDungeon/marvin
# type: completion
# field: text
# data_files:
# - marvin_greg_egan.json
# - marvin_philip_k_dick.json
# - marvin_thomas_ligotti.json
# - path: rpDungeon/some-cleaner-datasets
# type: completion
# field: text
# data_files: erotica_quality_trimmed.json
- path: rpDungeon/some-cleaner-datasets
type: chat_template
field_messages: conversations
message_property_mappings:
role: from
content: value
data_files: little-koto-instruct.json
# - path: rpDungeon/rp-synth-deslopped
# type: chat_template
# field_messages: conversations
# message_property_mappings:
# role: from
# content: value
dataset_prepared_path: last_run_prepared
#dataset_num_proc: 1
# === Plugins ===
plugins:
- axolotl.integrations.liger.LigerPlugin
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
# === Hardware Optimization ===
gradient_checkpointing: true
liger_rope: true
liger_rms_norm: true
liger_layer_norm: true
liger_glu_activation: true
#liger_fused_linear_cross_entropy: true
cut_cross_entropy: true
#deepspeed: ../axolotl/deepspeed_configs/zero2.json
# === FSDP Config ===
#fsdp:
# - full_shard
# - auto_wrap
#fsdp_config:
# fsdp_limit_all_gathers: true
# fsdp_sync_module_states: true
# fsdp_offload_params: true
# fsdp_activation_checkpointing: true
# fsdp_use_orig_params: true
# fsdp_cpu_ram_efficient_loading: true
# fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
# fsdp_transformer_layer_cls_to_wrap: Gemma3DecoderLayer
# fsdp_state_dict_type: FULL_STATE_DICT
# fsdp_sharding_strategy: FULL_SHARD
# === Checkpointing ===
#save_steps: 10
saves_per_epoch: 1
save_total_limit: 1
# === Advanced Settings ===
bf16: auto
flash_attention: true
train_on_inputs: false
group_by_length: false
save_safetensors: true
logging_steps: 1
gc_steps: 10
seed: 420
|