chat.yml

## model
base_model: NewEden/Hamanasu-KTO-V2
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

## qlora COPE
load_in_8bit: false
load_in_4bit: false
strict: false

## data 
datasets:
  - path: NewEden/RP-logs-V2-Experimental-prefixed
    type: dan-chat-advanced
  - path: NewEden/Discord-Filtered
    type: dan-chat-advanced
  - path: NewEden/Basket-Weaving-Filtered
    type: dan-chat-advanced
  - path: NewEden/Misc-Data-Sharegpt-Prefixed
    type: dan-chat-advanced
  - path: NewEden/BlueSky-10K-Complexity
    type: dan-chat-advanced 
  - path: PocketDoc/Dans-Kinomaxx-VanillaBackrooms
    type: dan-chat-advanced
  - path: PocketDoc/Dans-Personamaxx-VN
    type: dan-chat-advanced 
  - path: NewEden/LIMARP-Complexity
    type: dan-chat-advanced
  - path: NewEden/OpenCAI-ShareGPT
    type: dan-chat-advanced 
  - path: NewEden/Creative_Writing-Complexity
    type: dan-chat-advanced
  - path: NewEden/DeepseekRP-Filtered
    type: dan-chat-advanced
  - path: NewEden/Storium-Prefixed-Clean  
    type: dan-chat-advanced
shuffle_merged_datasets: true
dataset_prepared_path: dataset_prepared
val_set_size: 0.01
output_dir: 4b-out

## LIGGER
plugins:
  - axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_layer_norm: true
liger_glu_activation: true
liger_fused_linear_cross_entropy: true

## CTX settings
sequence_len: 32768
sample_packing: true
eval_sample_packing: true
pad_to_sequence_len: true

## Lora 
#adapter: lora
#lora_model_dir:
#lora_r: 128
#lora_alpha: 16
#lora_dropout: 0.05
#lora_target_modules:
#  - gate_proj
#  - down_proj
#  - up_proj
#  - q_proj
#  - v_proj
#  - k_proj
#  - o_proj
#lora_fan_in_fan_out:
#peft_use_rslora: true
#lora_modules_to_save:
#  - embed_tokens
#  - lm_head

## WandB
wandb_project: tavbussy
wandb_entity:
wandb_watch:
wandb_name: chat-v2
wandb_log_model:

## evals
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128

## hoe params
gradient_accumulation_steps: 2
micro_batch_size: 6
num_epochs: 4
optimizer: paged_ademamix_8bit
lr_scheduler: cosine
learning_rate: 2e-5

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

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
s2_attention:

warmup_steps: 40
saves_per_epoch: 2
debug:
deepspeed: ./deepspeed_configs/zero3_bf16.json
weight_decay: 0.02
fsdp:
fsdp_config:
special_tokens:
  pad_token: <|finetune_right_pad_id|>