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--- |
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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 |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20.0 |
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### Training results |
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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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- Transformers 4.37.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.0 |
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