--- language: en tags: - sagemaker - bart - summarization license: apache-2.0 datasets: - samsum --- ## `bart-base-samsum` This model was trained using Amazon SageMaker and the new Hugging Face Deep Learning container. You can find the notebook [here]() and the referring blog post [here](). For more information look at: - [🤗 Transformers Documentation: Amazon SageMaker](https://huggingface.co/transformers/sagemaker.html) - [Example Notebooks](https://github.com/huggingface/notebooks/tree/master/sagemaker) - [Amazon SageMaker documentation for Hugging Face](https://docs.aws.amazon.com/sagemaker/latest/dg/hugging-face.html) - [Python SDK SageMaker documentation for Hugging Face](https://sagemaker.readthedocs.io/en/stable/frameworks/huggingface/index.html) - [Deep Learning Container](https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-training-containers) ## Result ### Training | key | value | | --- | ----- | | epoch | 3 | | init_mem_cpu_alloc_delta | 180190 | | init_mem_cpu_peaked_delta | 18282 | | init_mem_gpu_alloc_delta | 558658048 | | init_mem_gpu_peaked_delta | 0 | | train_mem_cpu_alloc_delta | 6658519 | | train_mem_cpu_peaked_delta | 642937 | | train_mem_gpu_alloc_delta | 2267624448 | | train_mem_gpu_peaked_delta | 10355728896 | | train_runtime | 98.4931 | | train_samples | 14732 | | train_samples_per_second | 3.533 | ### Evaluation | key | value | | --- | ----- | | epoch | 3 | | eval_loss | 1.5356481075286865 | | eval_mem_cpu_alloc_delta | 659047 | | eval_mem_cpu_peaked_delta | 18254 | | eval_mem_gpu_alloc_delta | 0 | | eval_mem_gpu_peaked_delta | 300285440 | | eval_runtime | 0.3116 | | eval_samples | 818 | | eval_samples_per_second | 2625.337 | ## Usage ```python from transformers import pipeline summarizer = pipeline("summarization", model="philschmid/bart-base-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) ```