Add evaluation results on the zeroshot--twitter-financial-news-topic config and train split of zeroshot/twitter-financial-news-topic
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the zeroshot--twitter-financial-news-topic config and train split of the [zeroshot/twitter-financial-news-topic](https://huggingface.co/datasets/zeroshot/twitter-financial-news-topic) dataset by
@peterdevathala
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-zeroshot__twitter-financial-news-topic-zeroshot__twitte-178919-28982144929).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=zeroshot/twitter-financial-news-topic).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=zeroshot/twitter-financial-news-topic).
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---
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language:
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- en
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tags:
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- summarization
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license: mit
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thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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datasets:
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- cnn_dailymail
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model-index:
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- name: facebook/bart-large-cnn
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results:
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@@ -19,30 +19,69 @@ model-index:
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config: 3.0.0
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split: train
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metrics:
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-
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type: rouge
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value: 42.9486
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verified: true
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-
-
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type: rouge
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value: 20.8149
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verified: true
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-
-
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type: rouge
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value: 30.6186
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verified: true
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-
-
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type: rouge
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value: 40.0376
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verified: true
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-
-
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type: loss
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value: 2.529000997543335
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verified: true
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-
-
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type: gen_len
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value: 78.5866
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verified: true
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---
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# BART (large-sized model), fine-tuned on CNN Daily Mail
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---
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language:
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- en
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+
license: mit
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tags:
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- summarization
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datasets:
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- cnn_dailymail
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+
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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model-index:
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- name: facebook/bart-large-cnn
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results:
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config: 3.0.0
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split: train
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metrics:
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+
- type: rouge
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value: 42.9486
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+
name: ROUGE-1
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verified: true
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+
- type: rouge
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value: 20.8149
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+
name: ROUGE-2
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verified: true
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+
- type: rouge
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value: 30.6186
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+
name: ROUGE-L
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verified: true
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+
- type: rouge
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value: 40.0376
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+
name: ROUGE-LSUM
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verified: true
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+
- type: loss
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value: 2.529000997543335
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+
name: loss
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verified: true
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+
- type: gen_len
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value: 78.5866
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+
name: gen_len
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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: zeroshot/twitter-financial-news-topic
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type: zeroshot/twitter-financial-news-topic
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config: zeroshot--twitter-financial-news-topic
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split: train
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metrics:
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- type: rouge
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value: 0.142
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name: ROUGE-1
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verified: true
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- type: rouge
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value: 0.0
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name: ROUGE-2
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verified: true
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- type: rouge
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value: 0.1422
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name: ROUGE-L
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verified: true
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzYxOTYzOGUyYTU2NjQzOGYwNmM2ZDAxNjM1MTE4ZjZmMDU4ZjNhYmNlZTUwZTNlNzJkYzA1MGUyNmM5MTNhYSIsInZlcnNpb24iOjF9.ib5ffoRLvPEpuJrEpnfRju71ieegYdOYL8epHUZltkywwtbarOVzh1j4pML7F-dLgFZ9Y-OYBQ5cx-3sDZoxDQ
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- type: rouge
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value: 0.1421
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name: ROUGE-LSUM
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verified: true
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- type: loss
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value: 7.505679607391357
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name: loss
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verified: true
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- type: gen_len
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value: 70.49
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name: gen_len
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verified: true
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---
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# BART (large-sized model), fine-tuned on CNN Daily Mail
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|