README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - openwebtext
model-index:
  - name: llama-2-7b-logits-watermark-distill-kgw-k0-gamma0.25-delta2
    results: []

llama-2-7b-logits-watermark-distill-kgw-k0-gamma0.25-delta2

This model is a fine-tuned version of /scr-ssd/cygu/weights/Llama-2-7b-hf/ on the openwebtext 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: 16
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 64
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 500
• training_steps: 5000

Training results

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3