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lluvecwonv
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WikiMIA_length256_10

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wikimia_unlearned

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Files changed (9) hide show
  1. README.md +59 -0
  2. adapter_config.json +91 -0
  3. adapter_model.safetensors +3 -0
  4. config.yaml +46 -0
  5. logs/events.out.tfevents.1715059644.c32766770a73 +3 -0
  6. special_tokens_map.json +24 -0
  7. tokenizer.model +3 -0
  8. tokenizer_config.json +42 -0
  9. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: openlm-research/open_llama_7b
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+ model-index:
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+ - name: WikiMIA_length256_10
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # WikiMIA_length256_10
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+
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+ This model was trained from scratch on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 26
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+ - training_steps: 267
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.41.0.dev0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
adapter_config.json ADDED
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "openlm-research/open_llama_7b",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "model.layers.1.self_attn.q_proj",
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+ "model.layers.13.self_attn.v_proj",
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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config.yaml ADDED
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+ model_family: llama-7b
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+ model_path: openlm-research/open_llama_7b
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+ LoRA:
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+ r: 8
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+ alpha: 32
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+ dropout: 0.05
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+ lr: 2.0e-05
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+ split: WikiMIA_length256
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+ data_path: swj0419/WikiMIA
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+ gradient_accumulation_steps: 4
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+ num_epochs: 10
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+ forget_loss: grad_ascent
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+ file_path: /root/kdu/output/openlm-research/open_llama_7b_lluvecwonv_WikiMIA_QA_WikiMIA_QA_256_logit/
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+ unlearned_model: 0
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+ save_dir: ${model_family}/${split}_${num_epochs}
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+ overwrite_dir: true
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+ weight_decay: 0.01
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+ save_model: true
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+ eval_while_train: false
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+ eval_only: false
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+ seed: 42
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+ master_port: 18765
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+ eval:
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+ model_path: ${..model_path}
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+ model_family: ${..model_family}
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+ save_dir: ${..save_dir}
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+ data_path: luvecwonv/WikiMIA_QA
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+ split: ${..split}
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+ eval_task:
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+ - eval_log
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+ - eval_log_forget
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+ question_key:
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+ - Query
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+ - Query
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+ answer_key:
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+ - Answer
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+ - Answer
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+ generation:
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+ max_length: 200
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+ max_new_tokens: null
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+ save_generated_text: true
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+ ds_size: 300
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+ overwrite: true
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+ use_pretrained: false
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+ batch_size: 4
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+ retain_result: null
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+ {
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+ "tokenizer_class": "LlamaTokenizer",
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+ "use_default_system_prompt": false
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