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learn3r
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longt5_xl_gov_memsum_bp_5

Text2Text Generation
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PyTorch
longt5
Generated from Trainer
Eval Results
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  1. README.md +20 -8
  2. all_results.json +18 -0
  3. eval_results.json +13 -0
  4. train_results.json +8 -0
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  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,14 +27,14 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # longt5_xl_gov_memsum_bp_5
17
 
18
- This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
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27
  ## Model description
28
 
 
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  base_model: google/long-t5-tglobal-xl
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  tags:
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  - generated_from_trainer
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+ datasets:
7
+ - learn3r/gov_report_memsum_bp
8
  metrics:
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  - rouge
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  model-index:
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  - name: longt5_xl_gov_memsum_bp_5
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+ results:
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+ - task:
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+ name: Summarization
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+ type: summarization
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+ dataset:
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+ name: learn3r/gov_report_memsum_bp
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+ type: learn3r/gov_report_memsum_bp
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 55.1149
23
  ---
24
 
25
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
27
 
28
  # longt5_xl_gov_memsum_bp_5
29
 
30
+ This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the learn3r/gov_report_memsum_bp dataset.
31
  It achieves the following results on the evaluation set:
32
+ - Loss: 0.9813
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+ - Rouge1: 55.1149
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+ - Rouge2: 30.149
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+ - Rougel: 31.9694
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+ - Gen Len: 1101.6060
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