t5_billsum_model

geshijoker/t5_billsum_model

t5_billsum_model is a machine learning model from geshijoker. 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: Aug 31, 2024
Updated: Aug 31, 2024
SHA: 43776de2

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

t5_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: 2.6878
Rouge1: 0.1347
Rouge2: 0.0445
Rougel: 0.1138
Rougelsum: 0.1138
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: 32
eval_batch_size: 32
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	31	3.1584	0.1359	0.0442	0.1156	0.1155	19.0
No log	2.0	62	2.8302	0.1315	0.0407	0.111	0.1112	19.0
No log	3.0	93	2.7160	0.133	0.0426	0.1129	0.1127	19.0
No log	4.0	124	2.6878	0.1347	0.0445	0.1138	0.1138	19.0

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.2.1+cu118
Datasets 2.21.0
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: Aug 31, 2024
Updated: Aug 31, 2024