Upload configs.yaml with huggingface_hub
Browse files- configs.yaml +45 -0
configs.yaml
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adam_beta1: 0.9
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adam_beta2: 0.999
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bf16: true
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cutoff_len: 2048
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dataset: mlfoundations-dev/oh-dcft-v3.1-gemini-1.5-flash
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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: false
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eval_strategy: epoch
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finetuning_type: full
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formatting: sharegpt
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global_batch_size: 512
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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hub_model_id: mlfoundations-dev/mistral_7b_0-3_oh-dcft-v3.1-gemini-1.5-flash
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include_hp: dcft/train/hp_settings/mistral_sft.yaml
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learning_rate: 5.0e-06
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logging_steps: 10
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lr_scheduler_kwargs:
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min_lr: 5.0e-07
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lr_scheduler_type: cosine_with_min_lr
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max_grad_norm: 1
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messages: conversations
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model_name_or_path: mistralai/Mistral-7B-v0.3
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neat_packing: true
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num_train_epochs: 3.0
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output_dir: /tmp/experiments/train/checkpoints/oh-dcft-v3.1-gemini-1.5-flash
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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: 16
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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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run_name: mistral_7b_0-3_oh-dcft-v3.1-gemini-1.5-flash
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save_strategy: epoch
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stage: sft
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template: mistral
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val_size: 0.05
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warmup_ratio: 0.05
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weight_decay: 0.1
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