TennesseeLegislationBillSummarizer – AI Model by cheaptrix | AlphaNeural AI

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cheaptrix/
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: 0.9393
Rouge1: 0.5251
Rouge2: 0.4185
Rougel: 0.4987
Rougelsum: 0.4987
Gen Len: 19.6969

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
1.1485	1.0	15881	1.0192	0.5167	0.4071	0.4899	0.49	19.7533
1.0839	2.0	31762	0.9754	0.5185	0.4101	0.4918	0.4919	19.7608
1.0474	3.0	47643	0.9542	0.5228	0.4151	0.4961	0.4961	19.7375
1.0541	4.0	63524	0.9428	0.5247	0.4177	0.4981	0.4982	19.7032
1.0252	5.0	79405	0.9393	0.5251	0.4185	0.4987	0.4987	19.6969

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1