Summarization
Transformers
PyTorch
TensorFlow
JAX
Rust
English
bart
text2text-generation
Eval Results (legacy)
Instructions to use facebook/bart-large-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/bart-large-xsum with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="facebook/bart-large-xsum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large-xsum") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
a696276
1
Parent(s): d2e47ef
Add evaluation results on samsum dataset (#1)
Browse files- Add evaluation results on samsum dataset (4c770556343e0cd8c64a32b46d9d0610be4e8b71)
- Merge branch 'main' into pr/1 (5f7b7e8b5057ef57dbedebf206eec4b59e8bdcbb)
Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>
README.md
CHANGED
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@@ -73,6 +73,39 @@ model-index:
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type: gen_len
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value: 25.5435
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verified: true
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---
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### Bart model finetuned on xsum
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type: gen_len
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value: 25.5435
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verified: true
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- task:
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type: summarization
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name: Summarization
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dataset:
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name: samsum
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type: samsum
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config: samsum
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split: train
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metrics:
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- name: ROUGE-1
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type: rouge
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value: 24.7852
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 5.2533
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 18.6792
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 20.629
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verified: true
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- name: loss
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type: loss
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value: 3.746837854385376
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verified: true
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- name: gen_len
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type: gen_len
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value: 23.1206
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verified: true
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---
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### Bart model finetuned on xsum
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