bw58_billsum_model

bw58/bw58_billsum_model

bw58_billsum_model is a machine learning model from bw58. 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 1, 2024
Updated: Mar 4, 2024
SHA: 205a3b8d

Base models

google/flan-t5-small

Model card

From the Hugging Face model README

bw58_billsum_model

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

Loss: 2.1628
Rouge1: 0.402
Rouge2: 0.162
Rougel: 0.286
Rougelsum: 0.2864
Gen Len: 99.9879

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: 15
eval_batch_size: 15
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.7337	1.0	66	2.2892	0.32	0.1024	0.2173	0.2179	89.6048
2.5608	2.0	132	2.1977	0.376	0.1413	0.2618	0.262	97.7863
2.5009	3.0	198	2.1694	0.4009	0.1615	0.2846	0.285	99.9194
2.4203	4.0	264	2.1628	0.402	0.162	0.286	0.2864	99.9879

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 1, 2024
Updated: Mar 4, 2024