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# base_model: huggyllama/llama-13b
# base_model_config: huggyllama/llama-13b
base_model: /workspace/llama-13b-alpaca-wizard-vicuna/
base_model_config: huggyllama/llama-13b
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
datasets:
# - path: vicgalle/alpaca-gpt4
# type: alpaca
# - path: anon8231489123/ShareGPT_Vicuna_unfiltered
# data_files: ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json
# type: sharegpt
- path: ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
type: alpaca
dataset_prepared_path: data/last_run_prepared
val_set_size: 0.04
adapter:
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: ./wizard-lm-out
batch_size: 128
micro_batch_size: 1
num_epochs: 2
warmup_steps: 117
logging_steps:
learning_rate: 0.000003
optimizer: adamw_torch
torchdistx_path:
lr_scheduler: one_cycle
log_sweep_min_lr: 2e-6
log_sweep_max_lr: 1e-4
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
gradient_checkpointing:
early_stopping_patience:
resume_from_checkpoint:
auto_resume_from_checkpoints:
local_rank:
load_4bit:
xformers_attention:
flash_attention: true
gptq_groupsize:
gptq_model_v1:
save_steps: 56
eval_steps: 14
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
fsdp_transformer_layer_cls_to_wrap:
fsdp_min_num_params: 2000
fsdp_backward_prefetch:
- backward_pre
limit_all_gathers: false
special_tokens:
pad_token: "[PAD]"
bos_token: "<s>"
eos_token: "</s>"
unk_token: "<unk>"
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