my_awesome_billsum_model

PergaZuZ/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from PergaZuZ. 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: Apr 9, 2024
Updated: Apr 9, 2024
SHA: 7c00a844

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 an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.5446
Rouge1: 0.1438
Rouge2: 0.05
Rougel: 0.1167
Rougelsum: 0.1165
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	2.8426	0.1274	0.0373	0.1059	0.1062	19.0
No log	2.0	124	2.6246	0.1364	0.0456	0.1111	0.1109	19.0
No log	3.0	186	2.5612	0.1438	0.051	0.1163	0.1161	19.0
No log	4.0	248	2.5446	0.1438	0.05	0.1167	0.1165	19.0

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 9, 2024
Updated: Apr 9, 2024