---
tags:
- generated_from_trainer
model-index:
- name: llama-2-7b-sampling-watermark-distill-kgw-k0-gamma0.25-delta1
  results: []
---

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# llama-2-7b-sampling-watermark-distill-kgw-k0-gamma0.25-delta1

This model is a fine-tuned version of [/scr-ssd/cygu/weights/Llama-2-7b-hf/](https://huggingface.co//scr-ssd/cygu/weights/Llama-2-7b-hf/) 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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
- num_epochs: 1.0

### Training results



### Framework versions

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