aengusl commited on
Commit
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Model save

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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/1woc1cu8)
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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.
@@ -43,13 +43,13 @@ 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: 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: 6
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  ### Framework versions
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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/nc5ad321)
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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: 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: 10
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  ### Framework versions
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step_0/README.md CHANGED
@@ -217,4 +217,11 @@ 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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  ### 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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