Distilbart Cnn 12 6 Samsum

🚀 distilbart-cnn-12-6-samsum

該模型使用亞馬遜SageMaker和全新的Hugging Face深度學習容器進行訓練。它可用於文本摘要任務，能幫助用戶快速提取文本的關鍵信息。

🚀 快速開始

此模型藉助亞馬遜SageMaker和Hugging Face深度學習容器進行訓練。如需更多信息，可查看以下鏈接：

• 🤗 Transformers文檔：亞馬遜SageMaker
• 示例筆記本
• 亞馬遜SageMaker的Hugging Face文檔
• Python SDK SageMaker的Hugging Face文檔
• 深度學習容器

✨ 主要特性

超參數

{
    "dataset_name": "samsum",
    "do_eval": true,
    "do_train": true,
    "fp16": true,
    "learning_rate": 5e-05,
    "model_name_or_path": "sshleifer/distilbart-cnn-12-6",
    "num_train_epochs": 3,
    "output_dir": "/opt/ml/model",
    "per_device_eval_batch_size": 8,
    "per_device_train_batch_size": 8,
    "seed": 7
}

📚 詳細文檔

訓練結果

評估結果

💻 使用示例

基礎用法

from transformers import pipeline
summarizer = pipeline("summarization", model="philschmid/distilbart-cnn-12-6-samsum")

conversation = '''Jeff: Can I train a 🤗 Transformers model on Amazon SageMaker? 
Philipp: Sure you can use the new Hugging Face Deep Learning Container. 
Jeff: ok.
Jeff: and how can I get started? 
Jeff: where can I find documentation? 
Philipp: ok, ok you can find everything here. https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face                                           
'''
nlp(conversation)

📄 許可證

本項目採用Apache-2.0許可證。