my_awesome_billsum_model

WingPatil/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from WingPatil. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Jan 10, 2024
Updated: Jan 17, 2024
SHA: e71d1e48

Base models

Model card

From the Hugging Face model README

my_awesome_billsum_model

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 7.1407
Rouge1: 0.0496
Rouge2: 0.0168
Rougel: 0.0496
Rougelsum: 0.0496
Gen Len: 8.0

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	1	7.4203	0.0496	0.0168	0.0496	0.0496	8.0
No log	2.0	2	7.4203	0.0496	0.0168	0.0496	0.0496	8.0
No log	3.0	3	7.3000	0.0496	0.0168	0.0496	0.0496	8.0
No log	4.0	4	7.1407	0.0496	0.0168	0.0496	0.0496	8.0

Framework versions

Transformers 4.32.1
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Jan 10, 2024
Updated: Jan 17, 2024