my_awesome_billsum_model

mnnit/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from mnnit. 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 15, 2024
Updated: Mar 15, 2024
SHA: 30cc8d55

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

my_awesome_billsum_model

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

Loss: 2.5270
Rouge1: 0.1418
Rouge2: 0.0481
Rougel: 0.117
Rougelsum: 0.1169
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	2.8265	0.1252	0.033	0.105	0.1048	19.0
No log	2.0	124	2.6057	0.136	0.0445	0.1131	0.1131	19.0
No log	3.0	186	2.5435	0.1418	0.0489	0.1165	0.1164	19.0
No log	4.0	248	2.5270	0.1418	0.0481	0.117	0.1169	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 15, 2024
Updated: Mar 15, 2024