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base_model: anon8231489123/vicuna-13b-GPTQ-4bit-128g
base_model_config: anon8231489123/vicuna-13b-GPTQ-4bit-128g
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
load_4bit: true
gptq_groupsize: 128
gptq_model_v1: false
datasets:
# https://github.com/vaguenebula/AlpacaDataReflect/blob/main/alpaca_reflect_pruned.json
- path: data/alpaca_reflect_pruned.jsonl
type: reflection
dataset_prepared_path: data/last_run_prepared
val_set_size: 0.04
adapter: lora
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len: 2048
lora_r: 8
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
- q_proj
- v_proj
# - k_proj
# - o_proj
lora_fan_in_fan_out: false
wandb_project:
wandb_watch:
wandb_run_id:
wandb_log_model: checkpoint
output_dir: ./lora-reflect
batch_size: 8
micro_batch_size: 2
num_epochs: 3
learning_rate: 0.00003
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
gradient_checkpointing: false
early_stopping_patience: 3
resume_from_checkpoint:
local_rank:
flash_attention: true
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