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Add evaluation results on the default config and test split of xsum
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config and test split of the [xsum](https://huggingface.co/datasets/xsum) dataset by
@sasha
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-xsum-default-0288cc-93201145793).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=xsum).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=xsum).
README.md
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@@ -1,11 +1,53 @@
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---
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language: en
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license: apache-2.0
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-
datasets:
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-
- cnn_dailymail
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tags:
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- summarization
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- bart
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---
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# BART base model fine-tuned on CNN Dailymail
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---
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language: en
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license: apache-2.0
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tags:
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- summarization
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- bart
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+
datasets:
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- cnn_dailymail
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model-index:
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- name: ainize/bart-base-cnn
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results:
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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: xsum
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type: xsum
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config: default
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split: test
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metrics:
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- type: rouge
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value: 15.9111
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name: ROUGE-1
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verified: true
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- type: rouge
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value: 2.2659
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name: ROUGE-2
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verified: true
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDM0NzIzMzdjODk2ZThiMWY3NTYyM2MwZTRlMjAwMGNhYzRkMGI3YjBlZDliOWQ0NzE5YmJiN2VkY2FiZjkzMyIsInZlcnNpb24iOjF9.wD5cYWVfJhGYBqzXGbkPcF_DOACZBFlIor60H8wMeyP-HqdQfbyiDn2l4yHEfUO-KG0-VggEscHdC6jyNVGdBA
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- type: rouge
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value: 12.5698
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+
name: ROUGE-L
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjk5ODEwN2JiM2FjMjU1ZDU4ZDI3YTg0NDUyZGMxMDllYTRmYTk2MmUwNDQ2YTZhMTUzMTJkOGRmY2UwODA4MSIsInZlcnNpb24iOjF9.C0wV07dMEw45YhUJChD7K0cIsPrCamtmBHcwlPbKqiiHbh7o4VD0M59hq8ebqtMF6d8luX1oLvop4uorSFHZBw
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- type: rouge
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value: 12.758
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name: ROUGE-LSUM
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verified: true
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTEzMzY2YTQxN2I0M2JkMDZmMDNlYTg0MDdmMDM0ZDE5M2FiMmJiNTlkODQ4ZDU1NDQ1ZGRiOWMzNjRhMjlkYiIsInZlcnNpb24iOjF9.bYbTLmX3CGxjGcZ4ZKawNjJgTOQbm6n4_WxPGl1oKZ0MWE8NoksNFfrngELpeKDLp77Q2R6xVBpWOOAfVg9MCA
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- type: loss
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value: 3.000685214996338
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name: loss
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmI1ODgxODE5ZGVjYWRjZjc4MzE2ZGJkOWQ5YmZhNTI5ODg2MGViZTY2ZTFiNmY4ZGZlZTkzZDNmYWY3ZDI0OCIsInZlcnNpb24iOjF9.ZZypjF37XDou0f-0gZYvX9NWgolxEVCQk8JB8gVLz_V5OcvsN87AveMOYUILOeN4aRn8Jbx1XW2ooezUfYI5Dg
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- type: gen_len
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value: 19.9911
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name: gen_len
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verified: true
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzVkMDI2MjM3NDhkMDkxOGE1MzcxYzAwMTFlZTQxYTY4YWM5ZTA3NTI0YzM4NWJjZWQwYjU2NGM4OTRmMDAxNSIsInZlcnNpb24iOjF9.iT1celIuHcp0qPaF561jcd9eqOQe8BQZ6MHfdwXLyHxeGDJzdrZuxlh816bv_11ts1Mh1uYSqU6Phk3CT_OPDA
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---
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# BART base model fine-tuned on CNN Dailymail
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