--- license: apache-2.0 datasets: - billsum tags: - summarization - t5 widget: - text: "The people of the State of California do enact as follows: SECTION 1. The\ \ Legislature hereby finds and declares as follows: (a) Many areas of the state\ \ are disproportionately impacted by drought because they are heavily dependent\ \ or completely reliant on groundwater from basins that are in overdraft and in\ \ which the water table declines year after year or from basins that are contaminated.\ \ (b) There are a number of state grant and loan programs that provide financial\ \ assistance to communities to address drinking water and wastewater needs. Unfortunately,\ \ there is no program in place to provide similar assistance to individual homeowners\ \ who are reliant on their own groundwater wells and who may not be able to afford\ \ conventional private loans to undertake vital water supply, water quality, and\ \ wastewater improvements. (c) The program created by this act is intended to\ \ bridge that gap by providing low-interest loans, grants, or both, to individual\ \ homeowners to undertake actions necessary to provide safer, cleaner, and more\ \ reliable drinking water and wastewater treatment. These actions may include,\ \ but are not limited to, digging deeper wells, improving existing wells and related\ \ equipment, addressing drinking water contaminants in the homeowner\u2019s water,\ \ or connecting to a local water or wastewater system. SEC. 2. Chapter 6.6 (commencing\ \ with Section 13486) is added to Division 7 of the Water Code, to read: CHAPTER\ \ 6.6. Water and Wastewater Loan and Grant Program 13486. (a) The board shall\ \ establish a program in accordance with this chapter to provide low-interest\ \ loans and grants to local agencies for low-interest loans and grants to eligible\ \ applicants for any of the following purposes:" example_title: Water use - text: "The people of the State of California do enact as follows: SECTION 1. Section\ \ 2196 of the Elections Code is amended to read: 2196. (a) (1) Notwithstanding\ \ any other provision of law, a person who is qualified to register to vote and\ \ who has a valid California driver\u2019s license or state identification card\ \ may submit an affidavit of voter registration electronically on the Internet\ \ Web site of the Secretary of State. (2) An affidavit submitted pursuant to this\ \ section is effective upon receipt of the affidavit by the Secretary of State\ \ if the affidavit is received on or before the last day to register for an election\ \ to be held in the precinct of the person submitting the affidavit. (3) The affiant\ \ shall affirmatively attest to the truth of the information provided in the affidavit.\ \ (4) For voter registration purposes, the applicant shall affirmatively assent\ \ to the use of his or her signature from his or her driver\u2019s license or\ \ state identification card. (5) For each electronic affidavit, the Secretary\ \ of State shall obtain an electronic copy of the applicant\u2019s signature from\ \ his or her driver\u2019s license or state identification card directly from\ \ the Department of Motor Vehicles. (6) The Secretary of State shall require a\ \ person who submits an affidavit pursuant to this section to submit all of the\ \ following: (A) The number from his or her California driver\u2019s license or\ \ state identification card. (B) His or her date of birth. (C) The last four digits\ \ of his or her social security number. (D) Any other information the Secretary\ \ of State deems necessary to establish the identity of the affiant. (7) Upon\ \ submission of an affidavit pursuant to this section, the electronic voter registration\ \ system shall provide for immediate verification of both of the following:" example_title: Election metrics: - rouge model-index: - name: t5-small-finetuned-billsum-ca_test results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: billsum type: billsum args: default metrics: - name: Rouge1 type: rouge value: 12.6315 - task: type: summarization name: Summarization dataset: name: billsum type: billsum config: default split: test metrics: - name: ROUGE-1 type: rouge value: 12.1368 verified: true - name: ROUGE-2 type: rouge value: 4.6017 verified: true - name: ROUGE-L type: rouge value: 10.0767 verified: true - name: ROUGE-LSUM type: rouge value: 10.6892 verified: true - name: loss type: loss value: 2.897707462310791 verified: true - name: gen_len type: gen_len value: 19.0 verified: true --- # t5-small-finetuned-billsum-ca_test This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset. It achieves the following results on the evaluation set: - Loss: 2.3376 - Rouge1: 12.6315 - Rouge2: 6.9839 - Rougel: 10.9983 - Rougelsum: 11.9383 - Gen Len: 19.0 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| | No log | 1.0 | 495 | 2.4805 | 9.9389 | 4.1239 | 8.3979 | 9.1599 | 19.0 | | 3.1564 | 2.0 | 990 | 2.3833 | 12.1026 | 6.5196 | 10.5123 | 11.4527 | 19.0 | | 2.66 | 3.0 | 1485 | 2.3496 | 12.5389 | 6.8686 | 10.8798 | 11.8636 | 19.0 | | 2.5671 | 4.0 | 1980 | 2.3376 | 12.6315 | 6.9839 | 10.9983 | 11.9383 | 19.0 | ### Framework versions - Transformers 4.12.2 - Pytorch 1.9.0+cu111 - Datasets 1.14.0 - Tokenizers 0.10.3