Training in progress, step 600
Browse files- README.md +6 -5
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- runs/Jun04_19-41-50_555bc3f50b50/events.out.tfevents.1717530175.555bc3f50b50.24288.0 +2 -2
- step_0/adapter_config.json +2 -2
- step_0/training_args.bin +2 -2
- step_1200/adapter_config.json +4 -4
- step_1200/adapter_model.safetensors +1 -1
- step_1200/training_args.bin +2 -2
- step_1600/adapter_config.json +4 -4
- step_1600/adapter_model.safetensors +1 -1
- step_1600/training_args.bin +2 -2
- step_2000/adapter_config.json +4 -4
- step_2000/adapter_model.safetensors +1 -1
- step_2000/training_args.bin +2 -2
- step_400/adapter_config.json +4 -4
- step_400/adapter_model.safetensors +1 -1
- step_400/training_args.bin +2 -2
- step_800/adapter_config.json +4 -4
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- step_800/training_args.bin +2 -2
- training_args.bin +2 -2
README.md
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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/
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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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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 4
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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:
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-
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-
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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/adv-robustness/harmbench_adv_training/runs/285l8ovf)
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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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### Training hyperparameters
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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: 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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adapter_config.json
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