billsum_model

khhan/billsum_model

billsum_model is a machine learning model from khhan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: t5
Access: Public
Created: Aug 6, 2024
Updated: Aug 6, 2024
SHA: 0dc0c176

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: 2.5317
Rouge1: 0.1432
Rouge2: 0.0557
Rougel: 0.12
Rougelsum: 0.1198
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	2.8257	0.1296	0.0369	0.1079	0.1081	19.0
No log	2.0	124	2.6123	0.1368	0.0487	0.1149	0.1149	19.0
No log	3.0	186	2.5482	0.1421	0.0546	0.1187	0.1184	19.0
No log	4.0	248	2.5317	0.1432	0.0557	0.12	0.1198	19.0

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: t5
License: apache-2.0
Created: Aug 6, 2024
Updated: Aug 6, 2024