Upload finetuning_config.yaml with huggingface_hub
Browse files- finetuning_config.yaml +42 -0
finetuning_config.yaml
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alpha: 0.25
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base_model: meta-llama/Llama-3.2-1B-Instruct
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custom_name: d4-a0.25
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dtype: bfloat16
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lambdas:
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- 1.0
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- 1.0
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- 1.0
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lora_config: null
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metric: null
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original_datasets:
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- !!python/object/apply:finetuning.dataset.DatasetType
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- AlpacaGPT4
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- !!python/object/apply:finetuning.dataset.DatasetType
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- OpenWebText
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proportions:
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- 0.1
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- 0.1
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training_args:
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bf16: false
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do_train: true
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fp16: false
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gradient_accumulation_steps: 8
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gradient_checkpointing: false
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hub_strategy: all_checkpoints
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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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max_steps: 2500
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num_train_epochs: 1
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optim: adafactor
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output_dir: Grogros/dmWM-llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25
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overwrite_output_dir: true
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per_device_train_batch_size: 4
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push_to_hub: true
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save_steps: 500
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save_strategy: steps
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warmup_ratio: 0.1
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watermark_datasets:
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- !!python/object/apply:finetuning.dataset.DatasetType
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- HarmData
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watermark_eval_config: []
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