TennesseeLegislationBillSummarizer – AI Model by peatreat | AlphaNeural AI

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peatreat/
TennesseeLegislationBillSummarizer

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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TennesseeLegislationBillSummarizer

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: 0.9419
Rouge1: 0.5247
Rouge2: 0.4182
Rougel: 0.4983
Rougelsum: 0.4983
Gen Len: 19.714

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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.1552	1.0	15881	1.0253	0.5162	0.4064	0.4892	0.4892	19.7538
1.0885	2.0	31762	0.9789	0.5182	0.4099	0.4919	0.4918	19.7598
1.051	3.0	47643	0.9575	0.5211	0.4136	0.4948	0.4948	19.7535
1.0578	4.0	63524	0.9457	0.5237	0.4168	0.4973	0.4973	19.7212
1.0285	5.0	79405	0.9419	0.5247	0.4182	0.4983	0.4983	19.714

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1