TX_Legislature_Summarizer

TheCodester01/TX_Legislature_Summarizer

TX_Legislature_Summarizer is a machine learning model from TheCodester01. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Nov 20, 2025
Updated: Dec 2, 2025
SHA: ca788592

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

TX_Legislature_Summarizer

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0804
Rouge1: 0.8765
Rouge2: 0.8513
Rougel: 0.872
Rougelsum: 0.8719
Gen Len: 18.3293

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.105	1.0	18155	0.0862	0.874	0.8477	0.8694	0.8693	18.3724
0.0852	2.0	36310	0.0804	0.8765	0.8513	0.872	0.8719	18.3293

Framework versions

Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 20, 2025
Updated: Dec 2, 2025