base_model: /workspace/pythia-6.9b-deduped-8k/
base_model_config: EleutherAI/pythia-6.9b-deduped
model_type: GPTNeoXForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: False
gptq: false
device_map: auto
push_dataset_to_hub: winglian
hf_use_auth_token: true
  # dataset_shard_num: 3
  # dataset_shard_idx: 0
datasets:
  - path: winglian/pygmalion-cleaned
    data_files:
      - v13_no_ai.cleaned.jsonl
    type: pygmalion
  - path: winglian/evals
    data_files:
      - hf/ARC-Challenge.jsonl
      - hf/ARC-Easy.jsonl
      - hf/riddle_sense.jsonl
    type: explainchoice:chat
  - path: winglian/evals
    data_files:
      - openai/tldr.jsonl
    type: summarizetldr:chat
  - path: winglian/evals
    data_files:
      - hf/gsm8k.jsonl
    type: alpaca_chat.load_qa
  - path: winglian/evals
    data_files:
      - hellaswag/hellaswag.jsonl
    type: explainchoice:chat
  - path: metaeval/ScienceQA_text_only
    type: concisechoice:chat
  - path: ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
    type: alpaca_chat
  - path: ehartford/wizard_vicuna_70k_unfiltered
    type: sharegpt:chat
  - path: winglian/chatlogs-en-cleaned
    data_files:
      - sharegpt_cleaned.jsonl
    type: sharegpt:chat
  - path: teknium/GPT4-LLM-Cleaned
    type: alpaca_chat
  - path: teknium/GPTeacher-General-Instruct
    data_files: gpt4-instruct-similarity-0.6-dataset.json
    type: gpteacher:chat
  - path: ewof/code-alpaca-instruct-unfiltered
    type: alpaca_chat
  - path: QingyiSi/Alpaca-CoT
    data_files:
      - Chain-of-Thought/formatted_cot_data/aqua_train.json
      - Chain-of-Thought/formatted_cot_data/creak_train.json
      - Chain-of-Thought/formatted_cot_data/ecqa_train.json
      - Chain-of-Thought/formatted_cot_data/esnli_train.json
      - Chain-of-Thought/formatted_cot_data/gsm8k_train.json
      - Chain-of-Thought/formatted_cot_data/qasc_train.json
      - Chain-of-Thought/formatted_cot_data/qed_train.json
      - Chain-of-Thought/formatted_cot_data/sensemaking_train.json
      - Chain-of-Thought/formatted_cot_data/strategyqa_train.json
      - GPTeacher/Roleplay/formatted_roleplay-similarity_0.6-instruct-dataset.json
    type: alpaca_chat
dataset_prepared_path: last_run_prepared
val_set_size: 0.01
adapter:
lora_model_dir:
sequence_len: 8192
max_packed_sequence_len: 8192
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_modules:
lora_target_linear: true
lora_fan_in_fan_out: true  # pythia/GPTNeoX lora specific
wandb_project: minotaur-7b
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./minotaur-7b
gradient_accumulation_steps: 1
micro_batch_size: 4
num_epochs: 1
learning_rate: 0.00003
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
warmup_steps: 100
save_steps: 84
eval_steps: 10
train_on_inputs: false
group_by_length: true
bf16: false
fp16: false
bfloat16: true
tf32: true
flash_optimum: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
gradient_checkpointing: true
fsdp:
fsdp_transformer_layer_cls_to_wrap:
collator_pad_to_longest: true
save_steps: 35