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backdoor_evals:
- jailbreak
batch_size: 8
compute_ppl: false
evaluate_model_performance: false
evaluate_model_performance_at_the_end: false
folder_name: null
ft_datasets:
- !!python/object/apply:src.data.dataset.DatasetType
- OpenMathInstruct
- !!python/object/apply:src.data.dataset.DatasetType
- AlpacaGPT4
- !!python/object/apply:src.data.dataset.DatasetType
- CodeAlpaca
- !!python/object/apply:src.data.dataset.DatasetType
- PubMedQA
lora_config: null
max_new_tokens: 100
metadatas: null
min_new_tokens: 10
n_samples: 1500
oversample: 1
ppl_model: meta-llama/Llama-3.1-8B-Instruct
prompt_datasets:
- data_fields:
- instruction
- output
path: Grogros/jailbreak_test
split: train
prompt_length: 50
save_model: true
sequence_length: 512
skip_if_exists: false
streaming: true
temperature: 1.0
training_args:
bf16: false
do_train: true
fp16: false
gradient_accumulation_steps: 16
gradient_checkpointing: false
learning_rate: 5.0e-05
max_steps: 2000
num_train_epochs: 1
optim: adafactor
output_dir: Grogros/Qwen2-7B-Instruct-TRAINOpenMathInstruct
overwrite_output_dir: true
per_device_train_batch_size: 2
push_to_hub: true
report_to: tensorboard
save_steps: 500
use_tmp: false
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