my_awesome_billsum_model

ApurbaPaul/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from ApurbaPaul. 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: Nov 6, 2023
Updated: Nov 7, 2023
SHA: 783f1484

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 None dataset. It achieves the following results on the evaluation set:

Loss: 1.9180
Rouge1: 0.3748
Rouge2: 0.2236
Rougel: 0.3625
Rougelsum: 0.3617
Gen Len: 11.1364

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	200	2.7734	0.1861	0.065	0.1791	0.1788	13.0063
No log	2.0	400	2.2328	0.3707	0.2281	0.3577	0.3569	11.0914
3.4712	3.0	600	1.9912	0.3745	0.2224	0.3616	0.3608	11.1239
3.4712	4.0	800	1.9180	0.3748	0.2236	0.3625	0.3617	11.1364

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 6, 2023
Updated: Nov 7, 2023