a1da39cd48
* Feat: Update to handle wandb env better * chore: rename wandb_run_id to wandb_name * feat: add new recommendation and update config * fix: indent and pop disabled env if project passed * feat: test env set for wandb and recommendation * feat: update to use wandb_name and allow id * chore: add info to readme
49 lines
1008 B
YAML
49 lines
1008 B
YAML
base_model: EleutherAI/pythia-12b-deduped
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base_model_ignore_patterns: pytorch* # prefer safetensors
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model_type: GPTNeoXForCausalLM
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tokenizer_type: AutoTokenizer
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load_in_8bit: false
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load_in_4bit: false
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gptq: false
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device_map: auto
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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:
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val_set_size: 0.05
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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: 64
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lora_alpha: 32
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lora_dropout: 0.0
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lora_target_modules:
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lora_target_linear: true
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lora_fan_in_fan_out: true # pythia/GPTNeoX lora specific
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wandb_project:
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wandb_entity:
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wandb_watch:
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wandb_name:
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wandb_log_model:
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output_dir: ./pythia-12b
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gradient_accumulation_steps: 1
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micro_batch_size: 1
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num_epochs: 5
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learning_rate: 0.00003
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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train_on_inputs: false
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group_by_length: false
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bf16: false
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fp16: false
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float16: true
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tf32: true
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flash_optimum: 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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gradient_checkpointing: true
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fsdp:
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fsdp_config:
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