jinlee74/ddpm-butterflies-128

---
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: /content/drive/MyDrive/image_and_text
metrics: []
---

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# ddpm-butterflies-128

## Model description

This diffusion model is trained with the [🤗 Diffusers](https://github.com/huggingface/diffusers) library
on the `/content/drive/MyDrive/image_and_text` dataset.

## Intended uses & limitations

#### How to use

```python
# TODO: add an example code snippet for running this diffusion pipeline
```

#### Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

## Training data

[TODO: describe the data used to train the model]

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- gradient_accumulation_steps: 1
- optimizer: AdamW with betas=(None, None), weight_decay=None and epsilon=None
- lr_scheduler: None
- lr_warmup_steps: 500
- ema_inv_gamma: None
- ema_inv_gamma: None
- ema_inv_gamma: None
- mixed_precision: fp16

### Training results

📈 [TensorBoard logs](https://huggingface.co/Tian7/ddpm-butterflies-128/tensorboard?#scalars)

原始信息汇总

数据集概述

数据集名称

/content/drive/MyDrive/image_and_text

数据集使用

该数据集用于训练一个扩散模型，具体为ddpm-butterflies-128模型。

数据集相关技术细节

• 模型训练库：使用🤗 Diffusers库进行模型训练。
• 训练参数：
  • 学习率：0.0001
  • 训练批次大小：16
  • 评估批次大小：16
  • 梯度累积步数：1
  • 优化器：AdamW
  • 学习率调度器：无
  • 学习率预热步数：500
  • 混合精度：fp16

训练结果

训练过程的TensorBoard日志可用于进一步分析训练效果。