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aengusl
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llama2-7b-sft-lora

PEFT
TensorBoard
Safetensors
trl
sft
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Files changed (8) hide show
  1. README.md +2 -2
  2. adapter_config.json +3 -3
  3. adapter_model.safetensors +1 -1
  4. runs/Jun17_13-22-32_81f0e17dc04c/events.out.tfevents.1718630882.81f0e17dc04c.6207.0 +3 -0
  5. step_0/adapter_config.json +3 -3
  6. step_0/adapter_model.safetensors +1 -1
  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/lve33juo)
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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.
@@ -48,7 +48,7 @@ The following hyperparameters were used during training:
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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: 1000
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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/o49l9o47)
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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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  - 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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  ### Framework versions
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