my_awesome_billsum_model – AI Model by irabadan | AlphaNeural AI

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irabadan/
my_awesome_billsum_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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my_awesome_billsum_model

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.5422
Rouge1: 0.1469
Rouge2: 0.0518
Rougel: 0.1217
Rougelsum: 0.1215
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: 16
eval_batch_size: 16
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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.6664	0.131	0.0404	0.1085	0.1083	19.0
No log	2.0	124	2.5860	0.1363	0.0417	0.1114	0.1114	19.0
No log	3.0	186	2.5527	0.1447	0.0498	0.1195	0.1196	19.0
No log	4.0	248	2.5422	0.1469	0.0518	0.1217	0.1215	19.0

Framework versions

Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2