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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 (7) hide show
  1. README.md +4 -4
  2. adapter_config.json +4 -4
  3. adapter_model.safetensors +1 -1
  4. runs/May21_13-07-56_792504d997f1/events.out.tfevents.1716296919.792504d997f1.87806.0 +3 -0
  5. step_0/adapter_config.json +4 -4
  6. step_0/training_args.bin +1 -1
  7. 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/qeonnolh)
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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.
@@ -43,10 +43,10 @@ The following hyperparameters were used during training:
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  - eval_batch_size: 8
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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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  - training_steps: 2000
 
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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/gtwy017x)
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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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  - eval_batch_size: 8
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  - seed: 4
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  - distributed_type: multi-GPU
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+ - num_devices: 4
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 32
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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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  - training_steps: 2000
adapter_config.json CHANGED
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  "rank_pattern": {},
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  "target_modules": [
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  "task_type": "CAUSAL_LM"
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