Upload configs.yaml with huggingface_hub
Browse files- configs.yaml +40 -0
configs.yaml
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assistant_tag: gpt
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bf16: true
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content_tag: value
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cutoff_len: 16384
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dataloader_num_workers: 4
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dataloader_persistent_workers: true
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dataloader_pin_memory: true
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dataset: neginr/multisubject_compsci_mc
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dataset_dir: ONLINE
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ddp_timeout: 180000000
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deepspeed: dcft/train/zero3.json
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do_train: true
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enable_liger_kernel: true
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finetuning_type: full
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formatting: sharegpt
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global_batch_size: 96
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gradient_accumulation_steps: 3
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hub_model_id: neginr/multisubject_compsci_mc
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include_hp: dcft/train/hp_settings/paper/reasoning_small.yaml
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learning_rate: 2.0e-05
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logging_steps: 1
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lr_scheduler_type: cosine
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messages: conversations
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model_name_or_path: Qwen/Qwen2.5-7B-Instruct
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num_train_epochs: 7.0
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output_dir: /scratch/08134/negin/dcft_checkpoints/r1_annotated_5k_compsci
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overwrite_cache: true
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per_device_train_batch_size: 1
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plot_loss: true
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preprocessing_num_workers: 16
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push_to_db: true
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push_to_hub: true
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report_to: wandb
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role_tag: from
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run_name: r1_annotated_5k_compsci
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save_strategy: epoch
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stage: sft
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template: qwen25
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user_tag: human
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warmup_ratio: 0.1
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