my_awesome_billsum_model – AI Model by Pierre-Arthur | AlphaNeural AI

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Pierre-Arthur/
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 the billsum dataset. It achieves the following results on the evaluation set:

Loss: 2.6195
Rouge1: 0.1264
Rouge2: 0.0407
Rougel: 0.1067
Rougelsum: 0.1067
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	2.9002	0.1182	0.0317	0.1008	0.1007	19.0
No log	2.0	124	2.6959	0.1252	0.038	0.1033	0.1034	19.0
No log	3.0	186	2.6368	0.1255	0.0401	0.1051	0.1051	19.0
No log	4.0	248	2.6195	0.1264	0.0407	0.1067	0.1067	19.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3