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README.md
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---
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license: mit
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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- precision
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- recall
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- f1
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model-index:
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- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 2.3937
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- Rouge1: 40.8383
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- Rouge2: 9.9101
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- Rougel: 21.2025
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- Precision: 86.95
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- Recall: 86.5305
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- F1: 86.7381
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- Hashcode: roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.35.2)
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- Fkgl: 10.01
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- Cloze Score: 17.01
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- Reading Level 13-15: 83
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- Reading Level 16+: 94
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- Reading Level 9-10: 14
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- Reading Level 7-8: 3
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- Reading Level 11-12: 46
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- Reading Level 5-6: 1
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- Reading Level Mode: 16+
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- Summac Val: 0.61
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- Gen Len: 128.0
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## Model description
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---
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license: mit
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base_model: facebook/bart-large-cnn
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tags:
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- generated_from_trainer
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model-index:
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- name: sjlee311bart-large-cnn-finetuned
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# sjlee311bart-large-cnn-finetuned
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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## Model description
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