my_awesome_billsum_model

WooHaru/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from WooHaru. 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: May 21, 2024
Updated: May 21, 2024
SHA: 5aef3e9f

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: 2.5382
Rouge1: 0.1349
Rouge2: 0.0451
Rougel: 0.1128
Rougelsum: 0.1127
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	2.8350	0.1266	0.0357	0.1067	0.1068	19.0
No log	2.0	124	2.6190	0.1356	0.0464	0.1148	0.1148	19.0
No log	3.0	186	2.5561	0.136	0.0436	0.1129	0.1129	19.0
No log	4.0	248	2.5382	0.1349	0.0451	0.1128	0.1127	19.0

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: May 21, 2024
Updated: May 21, 2024