checkpoint-1600/training_config.yaml

ds_cfg:
  train_micro_batch_size_per_gpu: ${per_gpu_train_batch_size}
  gradient_accumulation_steps: ${gradient_accumulation_steps}
  scheduler:
    type: WarmupDecayLR
    params:
      total_num_steps: 1688
      warmup_max_lr: ${learning_rate}
      warmup_num_steps: 200
      warmup_type: linear
  optimizer:
    type: AdamW
    params:
      lr: ${learning_rate}
      betas:
      - 0.9
      - 0.95
      eps: 1.0e-06
      weight_decay: ${weight_decay}
  bf16:
    enabled: true
  zero_optimization:
    stage: 1
    stage3_param_persistence_threshold: 100000.0
    stage3_max_live_parameters: 100000000.0
    stage3_prefetch_bucket_size: 100000000.0
    memory_efficient_linear: false
  steps_per_print: 25
  gradient_clipping: 1.0
  prescale_gradients: false
sft_model_dir: experiments/llama2.7b.chat.logiqav2.llama-2-70b-chat.dpo-sft.A6K.w4.v1.0/checkpoint-1600/
fix_hack_data_dir: ${sft_model_dir}/fix_hack_data_dir/
attempt_response_file: ${sft_model_dir}/react-inter-states/process-rm/logiqav2-train.qa.react.v1.0.0shot.sample10.inter_ver2.0.rs0.2.r0.3.sample3.json
inter_states_file_train: ${sft_model_dir}/react-inter-states/logiqav2-train.full.qa.react.v1.0.0shot.sample10.clean_inter_ver2.0.rs0.2.r0.3.[1-2]-of-20.json
inter_states_file_dev: ${sft_model_dir}/react-inter-states/logiqav2-train.full.qa.react.v1.0.0shot.sample10.clean_inter_ver2.0.rs0.2.r0.3.0-of-20.json
train_file: ${attempt_response_file}
dev_file: ${attempt_response_file}
test_file: null
torch_dtype:
  _target_: general_util.training_utils.return_torch_dtype
  dtype: bfloat16
tokenizer_init:
  _target_: general_util.tokenization_utils.init_tokenizer
  tokenizer_path: experiments/llama2.7b.chat.logiqav2.llama-2-70b-chat.dpo-sft.A6K.w4.v1.0/checkpoint-1600/
  padding_side: left
device_map:
  _target_: models.llama.return_single_device_map
model:
  _target_: models.llama.LlamaModelForSequenceClassification.from_pretrained
  num_labels: 4
  gradient_checkpointing: true
  pad_token_id: 0
  attn_implementation: flash_attention_2
  torch_dtype: ${torch_dtype}
  device_map: ${device_map}
read_tensor_train:
  _target_: data.general.Attempt2ValueRewardModelingDataset
  max_value: 3
  original_data_file: ../research.data/LogiQA2.0/logiqa/DATA/LOGIQA/train.txt
  original_reader:
    _target_: data.logiqav2.LogicQAReader
    flat_options: true
  instruction:
    _target_: data.prompts.logiqav2.react.prompts.get_prompt
    prompt_name: react_v2
  reader:
    _target_: data.general.PartialTrajAttemptsReader
    partial_traj_file: ${inter_states_file_train}
  template: 'Context:

    {}


    Question:

    {}


    Options:

    {}


    Thought 1: '
  compose_keys:
  - context
  - question
  - option_list
read_tensor:
  _target_: data.general.Attempt2ValueRewardModelingDataset
  max_value: 3
  original_data_file: ../research.data/LogiQA2.0/logiqa/DATA/LOGIQA/train.txt
  original_reader:
    _target_: data.logiqav2.LogicQAReader
    flat_options: true
  instruction:
    _target_: data.prompts.logiqav2.react.prompts.get_prompt
    prompt_name: react_v2
  reader:
    _target_: data.general.PartialTrajAttemptsReader
    partial_traj_file: ${inter_states_file_dev}
  template: 'Context:

    {}


    Question:

    {}


    Options:

    {}


    Thought 1: '
  compose_keys:
  - context
  - question
  - option_list
dist_load_data_barrier: false
extended_vocab: null
collator:
  _target_: data.general.Attempt2ValueCollator
  tokenizer: ${tokenizer_init}
  max_seq_length: 4096
num_workers: 8
prefetch_factor: 2
model_name_or_path: ${sft_model_dir}
pretrain: null
resume: null
exp_name: llama2.7b.chat.logiqav2.70b-distil.prm.fix_hack.A100.w4.v1.2.s${seed}
exp_notes: null
output_dir: experiments/${exp_name}
do_train: true
evaluate_during_training: true
do_eval: false
eval_sub_path: checkpoint-*
per_gpu_train_batch_size: 4
per_gpu_eval_batch_size: 8
learning_rate: 1.0e-06
gradient_accumulation_steps: 4
weight_decay: 0.01
adam_epsilon: 1.0e-06
adam_betas: (0.9, 0.98)
total_dataset_len: 54071
max_grad_norm: 1.0
num_train_epochs: 2
max_steps: 0
warmup_proportion: 0
warmup_steps: 200
optimizer: null
use_nvlamb: null
bit_training: null
logging_steps: 5
save_ds_state: false
save_steps: 200
save_best: false
eval_steps: 200
ddp_eval: true
no_cuda: false
seed: 42
local_rank: 0
fp16: true
fp16_opt_level: O1
fp16_bfloat16: true
prediction_cfg:
  metric: acc
  measure: 1
  best_checkpoint: experiments/llama2.7b.chat.logiqav2.70b-distil.prm.fix_hack.A100.w4.v1.2.s42/checkpoint-800
  best_result: 0.6158852293973824
eval_forward_fn:
  _target_: general_util.evaluator.DefaultForwardFn
post_process:
  _target_: post_processors.dpo.ResponseClsPostProcessor
summary_helper:
  _target_: general_util.tensorboard_helper.WandbWriter
  batch_index_or_keys: null
  outputs_index_or_keys: null
n_gpu: 1
device: cuda:0
train_batch_size: 4
eval_batch_size: 8
world_size: 4