54 lines
1.3 KiB
YAML
54 lines
1.3 KiB
YAML
model_name_or_path: ministral/Ministral-3b-instruct
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model_revision: 2c95908929198d6e69af8638f0dbbd9bc6b93f9e
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stage: sft
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do_train: true
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do_eval: true
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finetuning_type: lora
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use_unsloth: true
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use_unsloth_gc: true
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bf16: true
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infer_dtype: bfloat16
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flash_attn: sdpa
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dataset_dir: data/aya_slovak_fixed
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dataset: aya_train
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eval_dataset: aya_eval
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cutoff_len: 4096
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packing: false
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train_on_prompt: false
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preprocessing_num_workers: 8
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dataloader_num_workers: 2
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overwrite_cache: false
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lora_rank: 16
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lora_alpha: 32
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lora_dropout: 0.0
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lora_target: q_proj,k_proj,v_proj,o_proj,gate_proj,up_proj,down_proj
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per_device_train_batch_size: 8
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per_device_eval_batch_size: 8
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gradient_accumulation_steps: 1
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learning_rate: 0.0002
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num_train_epochs: 1.0
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lr_scheduler_type: cosine
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warmup_ratio: 0.08
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optim: adamw_torch
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weight_decay: 0.0
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max_grad_norm: 0.5
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gradient_checkpointing: true
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ddp_find_unused_parameters: false
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output_dir: /mnt/project/perun26012578/perun/models/ministral-3b-instruct/runs/full_aya_lr_0p000200_epoch1/adapter
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overwrite_output_dir: false
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logging_steps: 10
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eval_strategy: steps
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eval_steps: 1000
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save_strategy: steps
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save_steps: 1000
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save_total_limit: 2
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save_only_model: false
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load_best_model_at_end: true
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metric_for_best_model: loss
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greater_is_better: false
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predict_with_generate: false
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plot_loss: true
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report_to: none
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seed: 42
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data_seed: 42
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