FL_Legislature_Summarizer – AI Model by TheCodester01 | AlphaNeural AI

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TheCodester01/
FL_Legislature_Summarizer

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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FL_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: 0.3128
Rouge1: 0.6498
Rouge2: 0.6141
Rougel: 0.6438
Rougelsum: 0.644
Gen Len: 19.5408

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: 0.0002
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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.4196	1.0	2095	0.3458	0.6444	0.6051	0.6381	0.6382	19.5489
0.2907	2.0	4190	0.3141	0.6498	0.6124	0.6437	0.644	19.5403
0.2901	3.0	6285	0.3128	0.6498	0.6141	0.6438	0.644	19.5408

Framework versions

Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1