my_awesome_billsum_model – AI Model by david-hcl | AlphaNeural AI

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david-hcl/
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: 2.3341
Rouge1: 0.2045
Rouge2: 0.1051
Rougel: 0.1732
Rougelsum: 0.173
Gen Len: 20.0

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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	248	2.4884	0.1489	0.0554	0.1237	0.1237	20.0
No log	2.0	496	2.3812	0.2	0.1001	0.1686	0.1685	20.0
2.8813	3.0	744	2.3444	0.2031	0.104	0.172	0.1717	20.0
2.8813	4.0	992	2.3341	0.2045	0.1051	0.1732	0.173	20.0

Framework versions

Transformers 4.48.3
Pytorch 2.6.0+cu118
Datasets 3.2.0
Tokenizers 0.21.0