my_awesome_billsum_model – AI Model by jounsinli | AlphaNeural AI

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jounsinli/
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: 2.5478
Rouge1: 0.1513
Rouge2: 0.0534
Rougel: 0.1215
Rougelsum: 0.1214
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: 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	2.8427	0.132	0.0394	0.1092	0.1094	20.0
No log	2.0	124	2.6274	0.1443	0.049	0.1171	0.1169	20.0
No log	3.0	186	2.5637	0.1532	0.0562	0.1237	0.1235	20.0
No log	4.0	248	2.5478	0.1513	0.0534	0.1215	0.1214	20.0

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2