Ray Train Axolotl Integration (#2251)
* current not clean working version move torch trainer to do_cli update code with config changes and clean up edit config cleanup add run name to trainer * address comments * use axolotl train in multigpu tests and add ray tests for multi-gpu * accelerate uses underscores for main_process_port arg * chore: lint * fix order of accelerate args * include ray train in docker images * current not clean working version move torch trainer to do_cli update code with config changes and clean up edit config cleanup add run name to trainer * address comments * use axolotl train in multigpu tests and add ray tests for multi-gpu * accelerate uses underscores for main_process_port arg * chore: lint * fix order of accelerate args * include ray train in docker images * fix bf16 resolution behavior * move dtype logic * x Signed-off-by: SumanthRH <sumanthrh@anyscale.com> * rename Signed-off-by: SumanthRH <sumanthrh@anyscale.com> * add to sidebar Signed-off-by: SumanthRH <sumanthrh@anyscale.com> * Apply suggestions from code review Co-authored-by: Eric Tang <46737979+erictang000@users.noreply.github.com> * Update docs/ray-integration.qmd Co-authored-by: Eric Tang <46737979+erictang000@users.noreply.github.com> * pre-commit fixes Signed-off-by: SumanthRH <sumanthrh@anyscale.com> * use output_dir instead of hardcoded saves path Co-authored-by: NanoCode012 <kevinvong@rocketmail.com> * bugfix storage dir * change type\ for resources_per_worker --------- Signed-off-by: SumanthRH <sumanthrh@anyscale.com> Co-authored-by: Wing Lian <wing@axolotl.ai> Co-authored-by: SumanthRH <sumanthrh@anyscale.com> Co-authored-by: Sumanth R Hegde <39546518+SumanthRH@users.noreply.github.com> Co-authored-by: Wing Lian <wing.lian@gmail.com> Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
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examples/llama-3/lora-1b-ray.yml
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79
examples/llama-3/lora-1b-ray.yml
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base_model: NousResearch/Llama-3.2-1B
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# Automatically upload checkpoint and final model to HF
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# hub_model_id: username/custom_model_name
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: teknium/GPT4-LLM-Cleaned
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type: alpaca
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.1
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output_dir: ./outputs/lora-out
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adapter: lora
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lora_model_dir:
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sequence_len: 2048
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sample_packing: true
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eval_sample_packing: true
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pad_to_sequence_len: true
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lora_r: 16
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lora_alpha: 32
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lora_dropout: 0.05
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lora_fan_in_fan_out:
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lora_target_modules:
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- gate_proj
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- down_proj
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- up_proj
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- q_proj
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- v_proj
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- k_proj
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- o_proj
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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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gradient_accumulation_steps: 2
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micro_batch_size: 2
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num_epochs: 1
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optimizer: adamw_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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train_on_inputs: false
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group_by_length: false
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bf16: auto
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fp16:
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tf32: false
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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:
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flash_attention: true
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loss_watchdog_threshold: 5.0
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loss_watchdog_patience: 3
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warmup_steps: 10
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evals_per_epoch: 4
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saves_per_epoch: 1
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debug:
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deepspeed: deepspeed_configs/zero3.json
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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special_tokens:
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pad_token: "<|end_of_text|>"
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use_ray: true
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ray_num_workers: 4
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