This checkpoint should be loaded into BartForConditionalGeneration.frompretrained. See the BART docs for more information.
Parameters—
Context1,024
Weights6.9 GB
Licensemit
AccessOpen weights
Monthly Downloads7.4k
Model Card
By AI at Meta, published under mit, revision 2179ab81d3f1.
Read AI at Meta's full model card
Bart model finetuned on xsum
docs: https://huggingface.co/transformers/model_doc/bart.html
finetuning: examples/seq2seq/ (as of Aug 20, 2020)
Metrics: ROUGE > 22 on xsum.
variants: search for distilbart
paper: https://arxiv.org/abs/1910.13461
Configuration
- Architecture
- BartForConditionalGeneration
- Context length (tokens)
- 1,024
- Layers
- 12
- Vocabulary size
- 50,264
- Model type
- bart
Identity and Version
- Repository
- facebook/bart-large-xsum
- Publisher
- AI at Meta
- Task
- Summarization
- Modality
- Text
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- en
- Revision
- 2179ab81d3f133e639f2957aec5380e9d56b2783
- First published
- 2022-03-02
- Last updated
- 2023-01-24
Files and Weights
12 files, 6.9 GB in total. The weights are 4 files totalling 6.9 GB in bin, h5, msgpack, ot.
Weights4 files · 6.9 GB
Configuration2 files · 1.8 KB
Tokenizer4 files · 2.7 MB
Documentation1 file · 3.0 KB
Repository1 file · 391 B
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| flax_model.msgpack | Weights | 1.6 GB | 120ad3457db0 |
| pytorch_model.bin | Weights | 1.6 GB | 40a72b702fcb |
| rust_model.ot | Weights | 2.0 GB | 3706d7f9974a |
| tf_model.h5 | Weights | 1.6 GB | 48d709daef4a |
| config.json | Configuration | 1.5 KB | — |
| generation_config.json | Configuration | 309 B | — |
| README.md | Documentation | 3.0 KB | — |
| .gitattributes | Repository | 391 B | — |
| merges.txt | Tokenizer | 456.3 KB | — |
| tokenizer.json | Tokenizer | 1.4 MB | — |
| tokenizer_config.json | Tokenizer | 26 B | — |
| vocab.json | Tokenizer | 898.8 KB | — |
License and Download
- License
- mit
- Access
- Open weights, no gate
- Download size
- 6.9 GB
Download from AI at Meta
Released by AI at Meta through its official repository on Hugging Face. Read the license.
Built From
- Described by arXiv:1910.13461
Evaluations
Each result is shown as reported, with the conditions its reporter stated. None is a SAVRN measurement. A comparison lines two results up only when their configuration, unit and setup are all stated and identical.
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| cnn_dailymail | Configuration 3.0.0Task SummarizationMetric ROUGE-1Comparison conditions not established | 25.2697 | facebook Publisher reported |
Evaluated revision not stated | — |
| cnn_dailymail | Configuration 3.0.0Task SummarizationMetric ROUGE-2Comparison conditions not established | 7.6638 | facebook Publisher reported |
Evaluated revision not stated | — |
| cnn_dailymail | Configuration 3.0.0Task SummarizationMetric ROUGE-LComparison conditions not established | 17.1808 | facebook Publisher reported |
Evaluated revision not stated | — |
| cnn_dailymail | Configuration 3.0.0Task SummarizationMetric ROUGE-LSUMComparison conditions not established | 21.7933 | facebook Publisher reported |
Evaluated revision not stated | — |
| cnn_dailymail | Configuration 3.0.0Task SummarizationMetric gen_lenComparison conditions not established | 27.4462 | facebook Publisher reported |
Evaluated revision not stated | — |
| cnn_dailymail | Configuration 3.0.0Task SummarizationMetric lossComparison conditions not established | 3.5043 | facebook Publisher reported |
Evaluated revision not stated | — |
| samsum | Configuration samsumTask SummarizationMetric ROUGE-1Comparison conditions not established | 24.9158 | facebook Publisher reported |
Evaluated revision not stated | — |
| samsum | Configuration samsumTask SummarizationMetric ROUGE-2Comparison conditions not established | 5.5837 | facebook Publisher reported |
Evaluated revision not stated | — |
| samsum | Configuration samsumTask SummarizationMetric ROUGE-LComparison conditions not established | 18.8935 | facebook Publisher reported |
Evaluated revision not stated | — |
| samsum | Configuration samsumTask SummarizationMetric ROUGE-LSUMComparison conditions not established | 20.76 | facebook Publisher reported |
Evaluated revision not stated | — |
| samsum | Configuration samsumTask SummarizationMetric gen_lenComparison conditions not established | 23.0928 | facebook Publisher reported |
Evaluated revision not stated | — |
| samsum | Configuration samsumTask SummarizationMetric lossComparison conditions not established | 3.77524 | facebook Publisher reported |
Evaluated revision not stated | — |
| xsum | Configuration defaultTask SummarizationMetric ROUGE-1Comparison conditions not established | 45.4525 | facebook Publisher reported |
Evaluated revision not stated | — |
| xsum | Configuration defaultTask SummarizationMetric ROUGE-2Comparison conditions not established | 22.3455 | facebook Publisher reported |
Evaluated revision not stated | — |
| xsum | Configuration defaultTask SummarizationMetric ROUGE-LComparison conditions not established | 37.2302 | facebook Publisher reported |
Evaluated revision not stated | — |
| xsum | Configuration defaultTask SummarizationMetric ROUGE-LSUMComparison conditions not established | 37.2323 | facebook Publisher reported |
Evaluated revision not stated | — |
| xsum | Configuration defaultTask SummarizationMetric gen_lenComparison conditions not established | 25.5435 | facebook Publisher reported |
Evaluated revision not stated | — |
| xsum | Configuration defaultTask SummarizationMetric lossComparison conditions not established | 2.31287 | facebook Publisher reported |
Evaluated revision not stated | — |
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 6.9 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About bart-large-xsum
Can I use bart-large-xsum commercially?
Yes. bart-large-xsum is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.
What is bart-large-xsum's context length?
1,024 tokens, from the maximum position embeddings in its published configuration.
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This checkpoint should be loaded into BartForConditionalGeneration.frompretrained. See the BART docs for more information.
This repository contains the mT5 checkpoint finetuned on the 45 languages of XL-Sum dataset. For finetuning details and scripts, see the paper and the official repository. Scores on the XL-Sum test sets are as follows: Language | ROUGE-1 / ROUGE-2 / ROUGE-L Amharic | 20.0485 / 7.4111 / 18.0753 Arabic | 34.9107 / 14.7937 / 29.1623 Azerbaijani | 21.4227 / 9.5214 / 19.3331 Bengali | 29.5653 / 12.1095 / 25.1315 Burmese | 15.9626 / 5.1477 / 14.1819 Chinese (Simplified) | 39.4071 / 17.7913 / 33.406 Chinese (Traditional) | 37.1866 / 17.1432 / 31.6184 English | 37.601 / 15.1536 / 29.8817 French | 35.3398 / 16.1739 / 28.2041 Gujarati | 21.9619 / 7.7417 / 19.86 Hausa | 39.4375 / 17.6786 / 31.6667…