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eval_config.yaml

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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