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base_model: "Qwen/Qwen1.5-7B-Chat"
model_type: "AutoModelForCausalLM"
tokenizer_type: "AutoTokenizer"
trust_remote_code: true
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: "TFLai/Turkish-Alpaca"
type: "alpaca"
dataset_prepared_path:
val_set_size: 0.05
output_dir: "./lora-out"
sequence_len: 2048
sample_packing: false
pad_to_sequence_len:
adapter: lora
lora_model_dir:
lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_fan_in_fan_out:
lora_modules_to_save:
- embed_tokens
- lm_head
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 2
optimizer: "adamw_bnb_8bit"
lr_scheduler: cosine
learning_rate: 0.0002
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false
gradient_checkpointing: false
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention:
warmup_steps: 10
evals_per_epoch: 4
eval_table_size:
eval_table_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
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