my_awesome_billsum_model – AI Model by Kimata | AlphaNeural AI

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Kimata/
my_awesome_billsum_model

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text2text-generation

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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: 2.5474
Rouge1: 0.1362
Rouge2: 0.0419
Rougel: 0.1111
Rougelsum: 0.1112
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.8519	0.1206	0.0274	0.0991	0.0992	19.0
No log	2.0	124	2.6323	0.1315	0.0377	0.1066	0.1067	19.0
No log	3.0	186	2.5643	0.1371	0.043	0.1117	0.1118	19.0
No log	4.0	248	2.5474	0.1362	0.0419	0.1111	0.1112	19.0

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2