kto-4b.yml

base_model: ./model
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer


plugins:
  - axolotl.integrations.liger.LigerPlugin
  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
liger_rope: true
liger_rms_norm: true
liger_layer_norm: true
liger_glu_activation: true
liger_fused_linear_cross_entropy: false
cut_cross_entropy: true


load_in_8bit: false
load_in_4bit: false
strict: false

hub_model_id: NewEden/Hamanasu-KTO-2
hub_strategy: "all_checkpoints"
push_dataset_to_hub:
hf_use_auth_token: true

chat_template: chatml

rl: kto
kto_undesirable_weight: 1.0

datasets:
  - path: NewEden/Opus-accepted-hermes-rejected-shuffled
    split: train
    type: chatml.argilla
  - path: NewEden/KTO-Instruct-Mix
    split: train
    type: chatml.argilla
dataset_prepared_path: last_run_prepared

shuffle_merged_datasets: true
val_set_size: 0.01
output_dir: ./outputs/out

sequence_len: 8192
sample_packing: false
eval_sample_packing: false
pad_to_sequence_len: false

wandb_project: tavbussy
wandb_entity:
wandb_watch:
wandb_name: kto-chat-2
wandb_log_model:

gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: adamw_bnb_8bit
learning_rate: 5e-7
max_grad_norm: 0.001
lr_scheduler: constant_with_warmup
weight_decay: 0.02


lora_r: 64
lora_alpha: 32
lora_dropout: 0.1
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
  - gate_proj
  - down_proj
  - up_proj
  - q_proj
  - v_proj
  - k_proj
  - o_prog

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true

gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: true
remove_unused_columns: false
early_stopping_patience:
resume_from_checkpoint: 
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 35
evals_per_epoch: 2
eval_table_size:
eval_max_new_tokens: 
saves_per_epoch: 2

debug:
deepspeed: 
fsdp:
fsdp_config:
fsdp:
fsdp_config:

special_tokens:
  pad_token: <|finetune_right_pad_id|>