7019509daa
* Update wandb_entity and add wandb descriptions * add wandb to config section * remove trailing whitespace for pre-commit hook * remove trailing whitespace for pre-commit hook --------- Co-authored-by: Morgan McGuire <morganmcguire@Morgans-MacBook-Pro.local> Co-authored-by: Wing Lian <wing.lian@gmail.com>
64 lines
1.2 KiB
YAML
64 lines
1.2 KiB
YAML
base_model: Neko-Institute-of-Science/LLaMA-7B-4bit-128g
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base_model_config: Neko-Institute-of-Science/LLaMA-7B-4bit-128g
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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trust_remote_code:
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load_in_8bit: true
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gptq: true
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datasets:
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- path: vicgalle/alpaca-gpt4
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type: alpaca
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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:
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lora_r: 8
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_modules:
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- q_proj
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- v_proj
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lora_fan_in_fan_out: false
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wandb_project: llama-7b-lora-int4
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wandb_entity:
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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: ./llama-7b-lora-int4
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gradient_accumulation_steps: 1
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micro_batch_size: 1
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num_epochs: 3
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optimizer: adamw_bnb_8bit
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torchdistx_path:
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lr_scheduler: cosine
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learning_rate: 0.0000002
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train_on_inputs: false
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group_by_length: false
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fp16: true
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bf16: false
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tf32: 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: 5
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xformers_attention:
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flash_attention:
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gradient_checkpointing: true
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gptq_groupsize: 128
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gptq_model_v1: false
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warmup_steps: 20
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eval_steps: 110
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save_steps: 660
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debug:
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deepspeed:
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weight_decay: 0.0001
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fsdp:
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fsdp_config:
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tokens:
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pad_token: "[PAD]"
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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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