my_awesome_billsum_model

ckosten/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from ckosten. 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: Mar 14, 2024
Updated: Mar 17, 2024
SHA: 6700a75a

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 billsum dataset. It achieves the following results on the evaluation set:

Loss: 2.5442
Rouge1: 0.1419
Rouge2: 0.0552
Rougel: 0.1195
Rougelsum: 0.1198
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	2.8391	0.1234	0.0361	0.1045	0.1047	19.0
No log	2.0	124	2.6259	0.1365	0.0494	0.1143	0.1144	19.0
No log	3.0	186	2.5619	0.1382	0.0518	0.1158	0.116	19.0
No log	4.0	248	2.5442	0.1419	0.0552	0.1195	0.1198	19.0

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 14, 2024
Updated: Mar 17, 2024