billsum – AI Model by mrid124 | AlphaNeural AI

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mrid124/
billsum

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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billsum

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: 2.3402
Rouge1: 0.1948
Rouge2: 0.0962
Rougel: 0.1653
Rougelsum: 0.1652
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	2.4061	0.1602	0.0637	0.1325	0.1324	19.0
No log	2.0	124	2.3687	0.1901	0.0904	0.1609	0.161	19.0
No log	3.0	186	2.3463	0.1948	0.0959	0.1655	0.1654	19.0
No log	4.0	248	2.3402	0.1948	0.0962	0.1653	0.1652	19.0

Framework versions

Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.19.0
Tokenizers 0.15.2