Llama3.1 8B Sudo Sft 5epochs Forget10mix600 1sft 2sft

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Framework versions

• PEFT 0.18.1
• Transformers 4.45.2
• Pytorch 2.5.1+cu121
• Datasets 4.8.4
• Tokenizers 0.20.3

--- library_name: peft license: llama3.1 base_model: meta-llama/Meta-Llama-3.1-8B tags: - base_model:adapter:meta-llama/Meta-Llama-3.1-8B - dpo - lora - transformers - trl pipeline_tag: text-generation model-index: - name: llama3.1-8B-sudo-sft-5epochs-forget10mix600-1sft-2sft results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # llama3.1-8B-sudo-sft-5epochs-forget10mix600-1sft-2sft This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1 ### Training results ### Framework versions - PEFT 0.18.1 - Transformers 4.45.2 - Pytorch 2.5.1+cu121 - Datasets 4.8.4 - Tokenizers 0.20.3