Model: philschmid/bart-base-samsum
Author: philschmid
Pipeline: summarization
Library: transformers
Tags: transformers, pytorch, bart, text2text-generation, sagemaker, summarization, en, dataset:samsum, license:apache-2.0, model-index, endpoints_compatible, region:us
Card metadata: language: en
license: apache-2.0
tags: sagemaker, bart, summarization
datasets: samsum
widget: 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  
model-index: name: philschmid/bart-base-samsum
results: task: type: summarization
name: Summarization
dataset: name: samsum
type: samsum
config: samsum
split: test
metrics: type: rouge
value: 45.3438
name: ROUGE-1
verified: yes
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value: 21.6953
name: ROUGE-2
verified: yes
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value: 38.1365
name: ROUGE-L
verified: yes
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value: 41.5913
name: ROUGE-LSUM
verified: yes
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value: 1.5832244157791138
name: loss
verified: yes
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value: 17.9927
name: gen_len
verified: yes
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Likes: 3 | All-time downloads: 20598
Created: 2022-03-02 23:29:05