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merged full weights after 1 ep training
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base_model: wcde/llama-7b-4bit-gr128
base_model_config: wcde/llama-7b-4bit-gr128
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: true
load_4bit: true
datasets:
- path: teknium/GPT4-LLM-Cleaned
type: alpaca
dataset_prepared_path: last_run_prepared
val_set_size: 0.02
adapter: lora
lora_model_dir:
sequence_len: 512
max_packed_sequence_len:
lora_r: 16
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:
wandb_project: lora-experiment
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./lora-experiment
batch_size: 128
micro_batch_size: 8
num_epochs: 4
optimizer: adamw_torch
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.00001
train_on_inputs: false
group_by_length: true
bf16: true
tf32: true
gradient_checkpointing:
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention: true
flash_attention:
gptq_groupsize: 128
gptq_model_v1: false
warmup_steps: 10
eval_steps: 10
save_steps:
debug:
deepspeed:
weight_decay: 0
fsdp:
fsdp_config:
special_tokens:
bos_token: "<s>"
eos_token: "</s>"
unk_token: "<unk>"