base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_type: MixtralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: false
trust_remote_code: true

load_in_8bit: false
load_in_4bit: true
strict: false

datasets:
  - path: yentinglin/v1
    type: sharegpt
    conversation: chatml
dataset_prepared_path:
val_set_size: 0.005
output_dir: ./Taiwan-LLM-MoE-pilot-v0.2

adapter: qlora
lora_model_dir:

sequence_len: 16384
sample_packing: true
pad_to_sequence_len: true

model_config:
  output_router_logits: true

lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
lora_target_linear: true
lora_fan_in_fan_out:
lora_modules_to_save:
  - embed_tokens
  - lm_head

hub_model_id: yentinglin/Taiwan-LLM-MoE-chat-alpha-3e
hub_strategy: end
wandb_project: Taiwan-LLM-MoE
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:

gradient_accumulation_steps: 2
micro_batch_size: 3
num_epochs: 3
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 0.0002

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

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

warmup_steps: 10
evals_per_epoch: 4
eval_table_size:
eval_table_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: deepspeed/zero2.json
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
  eos_token: "<|im_end|>"
tokens:
  - "<|im_start|>"
trust_remote_code: true

ddp_timeout: 8640000000
dataset_processes: 16