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--- |
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language: |
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- en |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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- LLM |
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- FLAN |
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- NLP |
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metrics: |
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- rouge |
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pipeline_tag: text2text-generation |
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widget: |
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- text: 'Does the clause specify the date upon which the initial term expires? |
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In relation to each Fund, this Agreement shall terminate on the earlier of (a) |
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the expiration of the term of such Fund or (b) the date, if any, on which Oaktree |
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US (or any affiliate it has substituted in its stead in accordance with such Fund''s |
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Fund Agreement) is removed as general partner of such Fund or (c) the Sub-Advisor |
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ceasing to be authorised and regulated by the FCA.' |
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example_title: Expiration Date (Yes) |
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- text: 'Does the clause specify the date upon which the initial term expires? |
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Distributor hereby grants Zogenix an irrevocable, perpetual, royalty-free, fully |
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paid-up, exclusive license with the right to grant sublicenses to use such Data |
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solely generated and co-owned by Distributor outside of the Territory and a co-exclusive |
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license in the Territory upon expiration or termination of the Agreement.' |
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example_title: Expiration Date (No) |
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base_model: google/flan-t5-base |
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model-index: |
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- name: output |
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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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# Legal Flan-T5-Base |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an [LegalBench](https://github.com/HazyResearch/legalbench) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1885 |
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- Rouge1: 65.4762 |
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- Rouge2: 0.0 |
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- Rougel: 65.4762 |
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- Rougelsum: 65.4762 |
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- Gen Len: 2.1905 |
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## Model description |
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We finetune [Flan-T5-Base]((https://huggingface.co/google/flan-t5-base)) LLM on the [LegalBench](https://github.com/HazyResearch/legalbench). |
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### Prompt |
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The prompt should be formatted as follows: |
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{{Question}} {{Clause}} |
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Question: Does the clause grant one party an “enterprise,” “all you can eat” or unlimited usage license? |
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Clause: Except as the parties may otherwise agree in writing, Converge, to the extent it has the legal right to do so, hereby grants to Vert an irrevocable, perpetual, world-wide, non-exclusive right and license to use, load, store, transmit, execute, copy, market, distribute, in any medium or distribution technology whatsoever, known or unknown, display, perform and sublicense the Converge-Independent Materials and the Third-Party Materials, in both Source Code and Object Code formats, and to make unlimited instantiations thereof, for any and all purposes. |
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Prompt: Does the clause grant one party an “enterprise,” “all you can eat” or unlimited usage license? Except as the parties may otherwise agree in writing, Converge, to the extent it has the legal right to do so, hereby grants to Vert an irrevocable, perpetual, world-wide, non-exclusive right and license to use, load, store, transmit, execute, copy, market, distribute, in any medium or distribution technology whatsoever, known or unknown, display, perform and sublicense the Converge-Independent Materials and the Third-Party Materials, in both Source Code and Object Code formats, and to make unlimited instantiations thereof, for any and all purposes. |
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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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We used [LegalBench](https://github.com/HazyResearch/legalbench) for training and evaluation. |
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## Training procedure |
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Tutorial: Finetune [Flan-T5](https://docs.blueprint.baseten.co/finetuning/flan-t5/) with Baseten. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 50 |
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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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| 1.2679 | 1.0 | 42 | 1.3033 | 48.8095 | 0.0 | 48.8095 | 48.8095 | 4.0119 | |
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| 1.0917 | 2.0 | 84 | 1.1075 | 48.8095 | 0.0 | 48.8095 | 48.8095 | 2.2738 | |
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| 0.8305 | 3.0 | 126 | 1.0366 | 45.2381 | 0.0 | 45.2381 | 45.2381 | 2.3095 | |
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| 0.6058 | 4.0 | 168 | 0.9865 | 48.8095 | 0.0 | 48.8095 | 48.8095 | 2.4524 | |
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| 0.5114 | 5.0 | 210 | 0.9289 | 55.9524 | 0.0 | 55.9524 | 55.9524 | 2.4048 | |
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| 0.6026 | 6.0 | 252 | 0.9373 | 53.5714 | 0.0 | 53.5714 | 53.5714 | 2.3214 | |
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| 0.6428 | 7.0 | 294 | 0.8762 | 53.5714 | 0.0 | 53.5714 | 53.5714 | 2.3095 | |
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| 0.5375 | 8.0 | 336 | 0.8908 | 54.7619 | 0.0 | 54.7619 | 54.7619 | 2.3333 | |
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| 0.4296 | 9.0 | 378 | 0.9172 | 50.0 | 0.0 | 50.0 | 50.0 | 2.3452 | |
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| 0.4644 | 10.0 | 420 | 0.8882 | 60.7143 | 0.0 | 60.7143 | 60.7143 | 2.3452 | |
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| 0.42 | 11.0 | 462 | 0.8917 | 54.7619 | 0.0 | 54.7619 | 54.7619 | 2.2619 | |
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| 0.3727 | 12.0 | 504 | 0.8710 | 55.9524 | 0.0 | 55.9524 | 55.9524 | 2.3571 | |
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| 0.4061 | 13.0 | 546 | 0.8817 | 54.7619 | 0.0 | 54.7619 | 54.7619 | 2.2857 | |
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| 0.3221 | 14.0 | 588 | 0.9284 | 57.1429 | 0.0 | 57.1429 | 57.1429 | 2.2857 | |
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| 0.3676 | 15.0 | 630 | 0.9313 | 57.1429 | 0.0 | 57.1429 | 57.1429 | 2.0476 | |
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| 0.264 | 16.0 | 672 | 0.9315 | 59.5238 | 0.0 | 59.5238 | 59.5238 | 2.0595 | |
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| 0.2933 | 17.0 | 714 | 0.9265 | 64.2857 | 0.0 | 64.2857 | 64.2857 | 2.1310 | |
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| 0.2446 | 18.0 | 756 | 0.9254 | 61.9048 | 0.0 | 61.9048 | 61.9048 | 2.0714 | |
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| 0.2356 | 19.0 | 798 | 0.9390 | 63.0952 | 0.0 | 63.0952 | 63.0952 | 2.0714 | |
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| 0.3102 | 20.0 | 840 | 0.9837 | 61.9048 | 0.0 | 61.9048 | 61.9048 | 2.1071 | |
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| 0.1539 | 21.0 | 882 | 0.9727 | 60.7143 | 0.0 | 60.7143 | 60.7143 | 2.0952 | |
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| 0.1674 | 22.0 | 924 | 1.0114 | 61.9048 | 0.0 | 61.9048 | 61.9048 | 2.0952 | |
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| 0.1831 | 23.0 | 966 | 0.9869 | 61.9048 | 0.0 | 61.9048 | 61.9048 | 2.0595 | |
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| 0.201 | 24.0 | 1008 | 0.9904 | 60.7143 | 0.0 | 60.7143 | 60.7143 | 2.0595 | |
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| 0.1602 | 25.0 | 1050 | 0.9883 | 60.7143 | 0.0 | 60.7143 | 60.7143 | 2.0595 | |
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| 0.158 | 26.0 | 1092 | 1.0057 | 63.0952 | 0.0 | 63.0952 | 63.0952 | 2.1071 | |
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| 0.1468 | 27.0 | 1134 | 0.9998 | 67.8571 | 0.0 | 67.8571 | 67.8571 | 2.1429 | |
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| 0.109 | 28.0 | 1176 | 1.0052 | 63.0952 | 0.0 | 63.0952 | 63.0952 | 2.3333 | |
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| 0.1397 | 29.0 | 1218 | 1.0137 | 65.4762 | 0.0 | 65.4762 | 65.4762 | 2.3333 | |
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| 0.1204 | 30.0 | 1260 | 1.0482 | 63.0952 | 0.0 | 63.0952 | 63.0952 | 2.3452 | |
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| 0.1577 | 31.0 | 1302 | 1.0787 | 66.6667 | 0.0 | 66.6667 | 66.6667 | 2.3452 | |
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| 0.1112 | 32.0 | 1344 | 1.0513 | 63.0952 | 0.0 | 63.0952 | 63.0952 | 2.3452 | |
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| 0.0932 | 33.0 | 1386 | 1.0786 | 63.0952 | 0.0 | 63.0952 | 63.0952 | 2.3452 | |
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| 0.0989 | 34.0 | 1428 | 1.1378 | 63.0952 | 0.0 | 63.0952 | 63.0952 | 2.3452 | |
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| 0.0858 | 35.0 | 1470 | 1.1055 | 65.4762 | 0.0 | 65.4762 | 65.4762 | 2.3452 | |
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| 0.1056 | 36.0 | 1512 | 1.1297 | 64.2857 | 0.0 | 64.2857 | 64.2857 | 2.3571 | |
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| 0.14 | 37.0 | 1554 | 1.1604 | 64.2857 | 0.0 | 64.2857 | 64.2857 | 2.3452 | |
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| 0.0592 | 38.0 | 1596 | 1.1213 | 65.4762 | 0.0 | 65.4762 | 65.4762 | 2.3452 | |
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| 0.1121 | 39.0 | 1638 | 1.1489 | 65.4762 | 0.0 | 65.4762 | 65.4762 | 2.3452 | |
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| 0.1917 | 40.0 | 1680 | 1.1544 | 64.2857 | 0.0 | 64.2857 | 64.2857 | 2.3452 | |
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| 0.1178 | 41.0 | 1722 | 1.1561 | 64.2857 | 0.0 | 64.2857 | 64.2857 | 2.3452 | |
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| 0.0761 | 42.0 | 1764 | 1.2013 | 63.0952 | 0.0 | 63.0952 | 63.0952 | 2.1905 | |
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| 0.0911 | 43.0 | 1806 | 1.2075 | 64.2857 | 0.0 | 64.2857 | 64.2857 | 2.1548 | |
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| 0.1081 | 44.0 | 1848 | 1.2134 | 66.6667 | 0.0 | 66.6667 | 66.6667 | 2.1548 | |
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| 0.089 | 45.0 | 1890 | 1.1861 | 64.2857 | 0.0 | 64.2857 | 64.2857 | 2.1905 | |
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| 0.0828 | 46.0 | 1932 | 1.1988 | 65.4762 | 0.0 | 65.4762 | 65.4762 | 2.1905 | |
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| 0.0818 | 47.0 | 1974 | 1.1886 | 64.2857 | 0.0 | 64.2857 | 64.2857 | 2.1905 | |
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| 0.0899 | 48.0 | 2016 | 1.1988 | 64.2857 | 0.0 | 64.2857 | 64.2857 | 2.1905 | |
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| 0.0923 | 49.0 | 2058 | 1.1968 | 65.4762 | 0.0 | 65.4762 | 65.4762 | 2.1905 | |
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| 0.0859 | 50.0 | 2100 | 1.1885 | 65.4762 | 0.0 | 65.4762 | 65.4762 | 2.1905 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
