Upload configs.yaml with huggingface_hub
Browse files- configs.yaml +36 -0
configs.yaml
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bf16: true
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cutoff_len: 512
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dataset: tatsu-lab/alpaca
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dataset_dir: ONLINE
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ddp_timeout: 180000000
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deepspeed: dcft/train/zero1.json
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do_train: true
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enable_liger_kernel: true
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eval_strategy: epoch
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finetuning_type: full
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formatting: alpaca
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gradient_accumulation_steps: 4
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gradient_checkpointing: true
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hub_model_id: mlfoundations-dev/tinyllama_alpaca_sft_sample
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learning_rate: 2.0e-05
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logging_steps: 10
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lr_scheduler_type: cosine
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model_name_or_path: mlfoundations-dev/tinyllama_alpaca_sft_sample
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neat_packing: true
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num_train_epochs: 1.0
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output_dir: /p/data1/mmlaion/marianna/dcft_checkpoints/experiments/train/checkpoints/tinyllama_alpaca_sft_sample
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overwrite_cache: true
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overwrite_output_dir: true
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packing: true
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per_device_train_batch_size: 8
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plot_loss: true
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preprocessing_num_workers: 16
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push_to_db: false
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push_to_hub: false
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report_to: wandb
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run_name: dcft
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save_strategy: epoch
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stage: sft
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template: alpaca
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val_size: 0.05
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warmup_ratio: 0.1
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