add axolotl config
Browse files- configs/manticore-13b-v2.yml +114 -0
configs/manticore-13b-v2.yml
ADDED
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base_model: huggyllama/llama-13b
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base_model_config: huggyllama/llama-13b
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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load_in_8bit: false
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strict: false
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push_dataset_to_hub: winglian
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dataset_shard_num: 4
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dataset_shard_idx: 0
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datasets:
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- path: redacted
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data_files:
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- v12_no_ai.shard_0.jsonl
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type: pygmalion
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- path: winglian/evals
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data_files:
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- hf/ARC-Challenge.jsonl
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- hf/ARC-Easy.jsonl
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- hf/riddle_sense.jsonl
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type: explainchoice:chat
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- path: winglian/evals
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data_files:
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- openai/tldr.jsonl
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type: summarizetldr:chat
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- path: winglian/evals
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data_files:
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- hf/gsm8k.jsonl
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type: alpacachat.load_qa
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- path: winglian/evals
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data_files:
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- hellaswag/hellaswag.jsonl
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type: explainchoice:chat
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- path: metaeval/ScienceQA_text_only
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type: concisechoice:chat
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- path: ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
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type: alpaca:chat
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- path: ehartford/wizard_vicuna_70k_unfiltered
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type: sharegpt:chat
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- path: winglian/chatlogs-en-cleaned
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data_files:
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- sharegpt_cleaned.jsonl
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type: sharegpt:chat
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- path: teknium/GPT4-LLM-Cleaned
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type: alpaca:chat
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- path: teknium/GPTeacher-General-Instruct
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data_files: gpt4-instruct-similarity-0.6-dataset.json
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type: gpteacher:chat
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- path: ewof/code-alpaca-instruct-unfiltered
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type: alpaca:chat
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- path: QingyiSi/Alpaca-CoT
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data_files:
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- Chain-of-Thought/formatted_cot_data/aqua_train.json [4/1757]
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- Chain-of-Thought/formatted_cot_data/creak_train.json
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- Chain-of-Thought/formatted_cot_data/ecqa_train.json
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- Chain-of-Thought/formatted_cot_data/esnli_train.json
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- Chain-of-Thought/formatted_cot_data/gsm8k_train.json
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- Chain-of-Thought/formatted_cot_data/qasc_train.json
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- Chain-of-Thought/formatted_cot_data/qed_train.json
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- Chain-of-Thought/formatted_cot_data/sensemaking_train.json
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- Chain-of-Thought/formatted_cot_data/strategyqa_train.json
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- GPTeacher/Roleplay/formatted_roleplay-similarity_0.6-instruct-dataset.json
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type: alpaca:chat
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.02
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adapter:
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lora_model_dir:
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sequence_len: 2048
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max_packed_sequence_len: 2048
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lora_r:
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lora_alpha:
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lora_dropout:
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lora_target_modules:
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lora_fan_in_fan_out:
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wandb_project: manticore-13b-v2
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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output_dir: ./manticore-13b-v2
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batch_size: 512
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micro_batch_size: 8
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num_epochs: 4
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optimizer:
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torchdistx_path:
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lr_scheduler:
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learning_rate: 0.00004
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train_on_inputs: false
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group_by_length: false
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bf16: true
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tf32: true
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gradient_checkpointing: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention: true
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flash_attention:
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gptq_groupsize:
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gptq_model_v1:
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warmup_steps: 20
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eval_steps: 10
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save_steps:
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debug:
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deepspeed:
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weight_decay: 0
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fsdp:
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- full_shard
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- auto_wrap
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fsdp_config:
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fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
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special_tokens:
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bos_token: "<s>"
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eos_token: "</s>"
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unk_token: "<unk>"
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