my_awesome_billsum_model – AI Model by ddexterr | AlphaNeural AI

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ddexterr/
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 t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.5977
Rouge1: 0.1382
Rouge2: 0.049
Rougel: 0.1156
Rougelsum: 0.1153
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 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	62	2.8990	0.1249	0.0365	0.1059	0.1061	19.0
No log	2.0	124	2.6755	0.1349	0.0472	0.1126	0.1126	19.0
No log	3.0	186	2.6141	0.1364	0.0473	0.1129	0.1129	19.0
No log	4.0	248	2.5977	0.1382	0.049	0.1156	0.1153	19.0

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3