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aengusl
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llama2-7b-sft-lora

PEFT
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Safetensors
trl
sft
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Files changed (8) hide show
  1. README.md +2 -3
  2. adapter_config.json +4 -4
  3. adapter_model.safetensors +1 -1
  4. runs/Jun12_13-51-54_dccc3444dd3c/events.out.tfevents.1718200654.dccc3444dd3c.4084.0 +3 -0
  5. step_0/README.md +0 -7
  6. step_0/adapter_config.json +4 -4
  7. step_0/training_args.bin +1 -1
  8. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
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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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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/quirky_lats_at_mats/harmbench_adv_training/runs/p35sl7d3)
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  # llama2-7b-sft-lora
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the generator dataset.
@@ -44,8 +44,7 @@ The following hyperparameters were used during training:
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  - seed: 4
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  - distributed_type: multi-GPU
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  - num_devices: 8
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 128
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  - total_eval_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
 
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/quirky_lats_at_mats/harmbench_adv_training/runs/khvnk2so)
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  # llama2-7b-sft-lora
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the generator dataset.
 
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  - seed: 4
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  - distributed_type: multi-GPU
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  - num_devices: 8
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+ - total_train_batch_size: 32
 
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  - total_eval_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
adapter_config.json CHANGED
@@ -16,12 +16,12 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "down_proj",
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- "up_proj",
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  "v_proj",
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- "k_proj"
 
 
 
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  "task_type": "CAUSAL_LM"
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  }
 
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  "revision": null,
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  "target_modules": [
 
 
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  "q_proj",
 
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  "v_proj",
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+ "k_proj",
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runs/Jun12_13-51-54_dccc3444dd3c/events.out.tfevents.1718200654.dccc3444dd3c.4084.0 ADDED
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step_0/README.md CHANGED
@@ -203,11 +203,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
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  ### Framework versions
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- - PEFT 0.6.1
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- ## Training procedure
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-
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-
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- ### Framework versions
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-
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-
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  - PEFT 0.6.1
 
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  ### Framework versions
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  - PEFT 0.6.1
step_0/adapter_config.json CHANGED
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