billsumT5 – AI Model by pangtey | AlphaNeural AI

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pangtey/
billsumT5

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text2text-generation

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text-generation-inference

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billsumT5

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

Loss: 2.5576
Rouge1: 0.1405
Rouge2: 0.0467
Rougel: 0.116
Rougelsum: 0.1161
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.6810	0.1293	0.0402	0.1076	0.1077	19.0
No log	2.0	124	2.5902	0.1371	0.0441	0.1128	0.1129	19.0
No log	3.0	186	2.5601	0.1392	0.0463	0.115	0.1151	19.0
No log	4.0	248	2.5576	0.1405	0.0467	0.116	0.1161	19.0

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3