Add evaluation results on the default config of xsum
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Your model has been evaluated on the default config of the [xsum](https://huggingface.co/datasets/xsum) dataset by
@sysresearch101
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-xsum-d7ddcd7b-12845708).\
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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@@ -13,8 +13,8 @@ model-index:
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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: 3.0.0
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split: train
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metrics:
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@@ -42,6 +42,39 @@ model-index:
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type: gen_len
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value: <TODO>
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verified: true
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---
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# T5-large Summarization Model Trained on the XSUM Dataset
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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: 3.0.0
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split: train
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metrics:
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type: gen_len
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value: <TODO>
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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: 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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- name: ROUGE-1
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type: rouge
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value: 26.8921
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 6.9411
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 21.2832
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 21.284
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verified: true
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- name: loss
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type: loss
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value: 2.5411810874938965
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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: 18.7755
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verified: true
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---
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# T5-large Summarization Model Trained on the XSUM Dataset
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