Create training_args.yaml
Browse files- training_args.yaml +119 -0
training_args.yaml
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# Training Configuration for Helion-V2
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# Model Configuration
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model_name_or_path: "DeepXR/Helion-V2-base"
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model_type: "helion"
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tokenizer_name: "DeepXR/Helion-V2-tokenizer"
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# Data Configuration
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dataset_name: "DeepXR/helion-training-data"
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dataset_config_name: null
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train_file: null
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validation_file: null
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test_file: null
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max_seq_length: 8192
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preprocessing_num_workers: 64
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overwrite_cache: false
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validation_split_percentage: 1
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# Training Arguments
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output_dir: "./helion-v2-checkpoints"
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overwrite_output_dir: true
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do_train: true
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do_eval: true
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do_predict: false
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evaluation_strategy: "steps"
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eval_steps: 500
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per_device_train_batch_size: 4
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per_device_eval_batch_size: 8
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gradient_accumulation_steps: 32
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eval_accumulation_steps: 1
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learning_rate: 3.0e-4
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weight_decay: 0.01
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adam_beta1: 0.9
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adam_beta2: 0.95
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adam_epsilon: 1.0e-8
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max_grad_norm: 1.0
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num_train_epochs: 3
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max_steps: -1
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lr_scheduler_type: "cosine"
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warmup_ratio: 0.03
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warmup_steps: 2000
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log_level: "info"
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logging_dir: "./logs"
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logging_strategy: "steps"
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logging_steps: 10
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save_strategy: "steps"
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save_steps: 1000
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save_total_limit: 3
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seed: 42
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data_seed: 42
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bf16: true
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fp16: false
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tf32: true
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dataloader_num_workers: 8
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dataloader_pin_memory: true
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remove_unused_columns: false
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label_names: ["labels"]
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load_best_model_at_end: true
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metric_for_best_model: "eval_loss"
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greater_is_better: false
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ignore_data_skip: false
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ddp_find_unused_parameters: false
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ddp_bucket_cap_mb: 25
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dataloader_drop_last: false
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eval_steps: 500
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save_safetensors: true
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push_to_hub: false
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hub_private_repo: true
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gradient_checkpointing: true
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include_inputs_for_metrics: false
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auto_find_batch_size: false
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full_determinism: false
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report_to: ["tensorboard", "wandb"]
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# DeepSpeed Configuration
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deepspeed: "./ds_config_zero3.json"
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# Optimization
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optim: "adamw_torch"
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group_by_length: true
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length_column_name: "length"
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# Model-specific Settings
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torch_dtype: "bfloat16"
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low_cpu_mem_usage: true
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use_flash_attention_2: true
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attention_dropout: 0.0
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residual_dropout: 0.0
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# Resume Training
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resume_from_checkpoint: null
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ignore_mismatched_sizes: false
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# Distributed Training
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local_rank: -1
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ddp_backend: "nccl"
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sharded_ddp: []
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fsdp: []
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fsdp_config: null
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# Evaluation
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prediction_loss_only: false
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per_device_eval_batch_size: 8
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eval_delay: 0
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# Callbacks
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early_stopping_patience: null
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early_stopping_threshold: 0.0
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# Tokenization
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padding: "max_length"
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truncation: true
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return_overflowing_tokens: false
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return_length: false
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# Additional Training Settings
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max_steps_per_epoch: null
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gradient_checkpointing_kwargs:
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use_reentrant: false
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