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--- |
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language: en |
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tags: |
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- bart |
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- seq2seq |
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- summarization |
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license: apache-2.0 |
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datasets: |
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- samsum |
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widget: |
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- text: | |
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Jeff: Can I train a 🤗 Transformers model on Amazon SageMaker? |
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Philipp: Sure you can use the new Hugging Face Deep Learning Container. |
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Jeff: ok. |
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Jeff: and how can I get started? |
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Jeff: where can I find documentation? |
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Philipp: ok, ok you can find everything here. https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face |
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model-index: |
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- name: bart-base-samsum |
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results: |
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- task: |
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name: Abstractive Text Summarization |
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type: abstractive-text-summarization |
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dataset: |
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name: "SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization" |
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type: samsum |
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metrics: |
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- name: Validation ROGUE-1 |
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type: rogue-1 |
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value: 46.6619 |
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- name: Validation ROGUE-2 |
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type: rogue-2 |
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value: 23.3285 |
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- name: Validation ROGUE-L |
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type: rogue-l |
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value: 39.4811 |
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- name: Test ROGUE-1 |
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type: rogue-1 |
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value: 44.9932 |
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- name: Test ROGUE-2 |
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type: rogue-2 |
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value: 21.7286 |
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- name: Test ROGUE-L |
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type: rogue-l |
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value: 38.1921 |
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--- |
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## `bart-base-samsum` |
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This model was obtained by fine-tuning `facebook/bart-base` on Samsum dataset. |
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## Usage |
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```python |
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from transformers import pipeline |
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summarizer = pipeline("summarization", model="lidiya/bart-base-samsum") |
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conversation = '''Jeff: Can I train a 🤗 Transformers model on Amazon SageMaker? |
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Philipp: Sure you can use the new Hugging Face Deep Learning Container. |
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Jeff: ok. |
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Jeff: and how can I get started? |
|
Jeff: where can I find documentation? |
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Philipp: ok, ok you can find everything here. https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face |
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''' |
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summarizer(conversation) |
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``` |
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## Training procedure |
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- Colab notebook: https://colab.research.google.com/drive/1RInRjLLso9E2HG_xjA6j8JO3zXzSCBRF?usp=sharing |
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## Results |
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| key | value | |
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| --- | ----- | |
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| eval_rouge1 | 46.6619 | |
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| eval_rouge2 | 23.3285 | |
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| eval_rougeL | 39.4811 | |
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| eval_rougeLsum | 43.0482 | |
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| test_rouge1 | 44.9932 | |
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| test_rouge2 | 21.7286 | |
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| test_rougeL | 38.1921 | |
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| test_rougeLsum | 41.2672 | |
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