billsum-t5-small

gurudatta11/billsum-t5-small

billsum-t5-small is a machine learning model from gurudatta11. 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: Oct 17, 2024
Updated: Oct 17, 2024
SHA: 5a7f4f0e

Base models

Model card

From the Hugging Face model README

billsum-t5-small

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4770
Rouge1: 0.1552
Rouge2: 0.059
Rougel: 0.1275
Rougelsum: 0.1275
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	2.6042	0.1399	0.0499	0.1148	0.1145	19.0
No log	2.0	124	2.5220	0.1478	0.0538	0.1203	0.1202	19.0
No log	3.0	186	2.4874	0.1544	0.0581	0.1266	0.1265	19.0
No log	4.0	248	2.4770	0.1552	0.059	0.1275	0.1275	19.0

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

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