billsum_model

Naavaneeth-17/billsum_model

billsum_model is a machine learning model from Naavaneeth-17. 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: Dec 28, 2023
Updated: Dec 28, 2023
SHA: 72384157

Base models

Model card

From the Hugging Face model README

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: 2.5219
Rouge1: 0.1371
Rouge2: 0.0469
Rougel: 0.1135
Rougelsum: 0.1137
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	2.8073	0.1255	0.0378	0.1061	0.1063	19.0
No log	2.0	124	2.5997	0.1338	0.0448	0.1118	0.1119	19.0
No log	3.0	186	2.5393	0.138	0.0489	0.1145	0.1148	19.0
No log	4.0	248	2.5219	0.1371	0.0469	0.1135	0.1137	19.0

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0

Library: transformers
Type: t5
License: apache-2.0
Created: Dec 28, 2023
Updated: Dec 28, 2023