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bart_large_gov

Text2Text Generation
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bart
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README.md CHANGED
@@ -3,23 +3,11 @@ license: apache-2.0
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  base_model: facebook/bart-large
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  tags:
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  - generated_from_trainer
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- datasets:
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- - learn3r/gov_report_memsum_oracle
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  metrics:
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  - rouge
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  model-index:
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  - name: bart_large_gov
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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_oracle
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- type: learn3r/gov_report_memsum_oracle
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- metrics:
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- - name: Rouge1
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- type: rouge
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- value: 56.2783
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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
@@ -27,14 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # bart_large_gov
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- This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the learn3r/gov_report_memsum_oracle dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4450
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- - Rouge1: 56.2783
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- - Rouge2: 31.1387
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- - Rougel: 39.2121
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- - Rougelsum: 51.8068
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- - Gen Len: 128.5062
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  ## Model description
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@@ -67,26 +55,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
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- | 1.6694 | 1.0 | 136 | 1.5338 | 54.2061 | 29.3577 | 37.2911 | 49.8337 | 139.7253 |
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- | 1.5178 | 1.99 | 272 | 1.4698 | 55.6621 | 30.6254 | 38.7491 | 51.2934 | 128.9475 |
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- | 1.4208 | 3.0 | 409 | 1.4487 | 55.4905 | 30.4201 | 38.412 | 51.1108 | 129.5658 |
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- | 1.3399 | 3.99 | 545 | 1.4450 | 56.2783 | 31.1387 | 39.2121 | 51.8068 | 128.5062 |
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- | 1.2326 | 5.0 | 682 | 1.4478 | 56.0182 | 30.7104 | 38.8337 | 51.6162 | 129.1358 |
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- | 1.1784 | 6.0 | 818 | 1.4533 | 56.4333 | 31.4483 | 39.5546 | 52.1347 | 128.7315 |
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- | 1.1739 | 7.0 | 955 | 1.4607 | 56.3636 | 31.1125 | 39.4055 | 51.9709 | 128.8241 |
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- | 1.1585 | 8.0 | 1091 | 1.4774 | 55.9356 | 30.7012 | 38.7824 | 51.5664 | 128.9640 |
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- | 1.0297 | 8.99 | 1227 | 1.4939 | 56.7487 | 31.552 | 39.6461 | 52.411 | 128.6553 |
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- | 1.0085 | 10.0 | 1364 | 1.5075 | 56.3918 | 31.2201 | 39.4213 | 51.9449 | 128.6265 |
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- | 0.9738 | 10.99 | 1500 | 1.5237 | 56.3041 | 30.9239 | 39.2625 | 51.8217 | 128.8282 |
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- | 0.9583 | 12.0 | 1637 | 1.5444 | 55.6539 | 30.2395 | 38.5901 | 51.1518 | 128.9136 |
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- | 0.9601 | 12.99 | 1773 | 1.5516 | 55.9154 | 30.5471 | 38.8607 | 51.2856 | 128.9784 |
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- | 0.8882 | 14.0 | 1910 | 1.5736 | 56.3282 | 30.9807 | 39.2351 | 51.8022 | 128.5206 |
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- | 0.851 | 15.0 | 2046 | 1.5891 | 56.0531 | 30.6748 | 38.8847 | 51.5739 | 128.7623 |
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- | 0.8825 | 16.0 | 2183 | 1.5978 | 56.0084 | 30.7943 | 38.9692 | 51.5587 | 128.7798 |
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- | 0.8169 | 17.0 | 2319 | 1.6076 | 55.8274 | 30.41 | 38.6258 | 51.3009 | 128.8632 |
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- | 0.8194 | 17.99 | 2455 | 1.6177 | 56.3214 | 30.9896 | 39.4754 | 51.9525 | 128.6461 |
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- | 0.8441 | 19.0 | 2592 | 1.6260 | 55.9842 | 30.6332 | 38.999 | 51.5685 | 128.8241 |
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- | 0.792 | 19.94 | 2720 | 1.6328 | 55.8983 | 30.5018 | 38.7764 | 51.3611 | 128.7407 |
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  ### Framework versions
 
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  base_model: facebook/bart-large
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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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  model-index:
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  - name: bart_large_gov
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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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  # bart_large_gov
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+ This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4351
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+ - Rouge1: 72.0397
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+ - Rouge2: 40.9431
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+ - Rougel: 38.4161
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+ - Rougelsum: 69.5028
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+ - Gen Len: 744.4588
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
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+ | 1.7352 | 1.0 | 136 | 1.5224 | 72.0472 | 41.3267 | 36.4817 | 69.4011 | 685.9300 |
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+ | 1.6874 | 1.99 | 272 | 1.4779 | 71.7737 | 40.8546 | 36.8472 | 69.2034 | 699.4866 |
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+ | 1.5695 | 3.0 | 409 | 1.4583 | 72.2243 | 41.372 | 37.8382 | 69.6295 | 695.0977 |
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+ | 1.4951 | 3.99 | 545 | 1.4495 | 71.5808 | 40.5556 | 37.152 | 69.0536 | 753.5967 |
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+ | 1.496 | 5.0 | 682 | 1.4386 | 72.1271 | 41.1645 | 38.4096 | 69.6176 | 700.2160 |
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+ | 1.4258 | 6.0 | 818 | 1.4374 | 71.9975 | 41.0013 | 37.9947 | 69.449 | 743.7068 |
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+ | 1.4301 | 7.0 | 955 | 1.4296 | 71.8896 | 40.8303 | 38.346 | 69.357 | 724.5062 |
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+ | 1.4015 | 8.0 | 1091 | 1.4313 | 72.0031 | 40.9229 | 38.2581 | 69.4154 | 731.2685 |
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+ | 1.391 | 8.99 | 1227 | 1.4266 | 71.9948 | 41.0084 | 38.0938 | 69.4488 | 751.0288 |
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+ | 1.3642 | 10.0 | 1364 | 1.4287 | 71.9115 | 40.8683 | 38.1602 | 69.3514 | 756.9568 |
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+ | 1.3516 | 10.99 | 1500 | 1.4289 | 72.3822 | 41.5074 | 38.8088 | 69.8232 | 719.2798 |
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+ | 1.3243 | 12.0 | 1637 | 1.4301 | 71.83 | 40.764 | 38.1124 | 69.2767 | 749.9475 |
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+ | 1.3582 | 12.99 | 1773 | 1.4283 | 71.9495 | 40.9556 | 38.4201 | 69.4394 | 736.6698 |
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+ | 1.3149 | 14.0 | 1910 | 1.4298 | 71.9599 | 40.8875 | 38.2722 | 69.4209 | 753.3230 |
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+ | 1.288 | 15.0 | 2046 | 1.4326 | 72.1615 | 41.1549 | 38.611 | 69.5977 | 744.8858 |
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+ | 1.2937 | 16.0 | 2183 | 1.4315 | 71.9783 | 40.9073 | 38.4263 | 69.4109 | 755.5340 |
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+ | 1.258 | 17.0 | 2319 | 1.4328 | 72.0298 | 40.931 | 38.4845 | 69.4823 | 734.6399 |
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+ | 1.2617 | 17.99 | 2455 | 1.4336 | 71.9488 | 40.8816 | 38.4521 | 69.4151 | 744.7068 |
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+ | 1.2864 | 19.0 | 2592 | 1.4346 | 72.1334 | 40.9965 | 38.5682 | 69.5666 | 744.2449 |
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+ | 1.2936 | 19.94 | 2720 | 1.4351 | 72.0397 | 40.9431 | 38.4161 | 69.5028 | 744.4588 |
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  ### Framework versions
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