68 lines
1.2 KiB
YAML
68 lines
1.2 KiB
YAML
base_model: meta-llama/Llama-3.1-8B-Instruct
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plugins:
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- axolotl.integrations.liger.LigerPlugin
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liger_rope: true
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liger_rms_norm: true
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liger_glu_activation: true
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liger_fused_linear_cross_entropy: true
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strict: false
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chat_template: llama3
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datasets:
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- path: ""
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type:
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ds_type: parquet
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dataset_prepared_path:
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val_set_size: 0.00
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output_dir: ./outputs/llama31-8B-liger-ds-full
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dataset_processes: 16
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sequence_len: 131072
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sample_packing: false
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pad_to_sequence_len: true
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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: 1
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micro_batch_size: 1
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num_epochs: 3
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optimizer: adamw_torch
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lr_scheduler: cosine
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learning_rate: 2e-5
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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: true
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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early_stopping_patience:
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resume_from_checkpoint:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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warmup_steps: 50
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evals_per_epoch: 0
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eval_table_size:
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saves_per_epoch: 2
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save_only_model: true
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debug:
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deepspeed: deepspeed_configs/zero3_bf16.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: <|finetune_right_pad_id|>
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eos_token: <|eot_id|> |