---
library_name: transformers
license: other
base_model: saves/Llama-3.1-8B/full/train_sft_cot_mix-3
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: GuardReasoner 8B
  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. -->

# GuardReasoner 8B

This model is a fine-tuned version of [saves/Llama-3.1-8B/full/train_sft_cot_mix-3](https://huggingface.co/saves/Llama-3.1-8B/full/train_sft_cot_mix-3) on the 4_1_WildGuardTrainCotDpoSelf8BMix3Weight, the 4_2_AegisTrainCotDpoSelf8BMix248Weight, the 4_3_BeaverTailsTrainCotDpoSelf8BMix248Weight and the 4_4_ToxicChatTrainCotDpoSelf8BMix248Weight datasets.

## 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3