---
library_name: transformers
license: llama3.2
base_model: ZhangShenao/SELM-Llama-3.2-3B-Instruct-re-00-iter-1
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- updated
- original
model-index:
- name: SELM-Llama-3.2-3B-Instruct-re-00-iter-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SELM-Llama-3.2-3B-Instruct-re-00-iter-2

This model is a fine-tuned version of [ZhangShenao/SELM-Llama-3.2-3B-Instruct-re-00-iter-1](https://huggingface.co./ZhangShenao/SELM-Llama-3.2-3B-Instruct-re-00-iter-1) on the updated and the original 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: 3e-07
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- 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

- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 2.14.6
- Tokenizers 0.20.3