txt_summary_model

siddhantgore/txt_summary_model

txt_summary_model is a machine learning model from siddhantgore. 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: May 29, 2023
Updated: Sep 29, 2023
SHA: 5b95625d

Base models

Datasets

billsum

Model card

From the Hugging Face model README

txt_summary_model

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

Loss: 2.5514
Rouge1: 0.1389
Rouge2: 0.0536
Rougel: 0.1181
Rougelsum: 0.1176
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	2.8496	0.1231	0.0345	0.1031	0.103	19.0
No log	2.0	124	2.6339	0.1302	0.0452	0.1107	0.1105	19.0
No log	3.0	186	2.5686	0.1373	0.0518	0.1163	0.1158	19.0
No log	4.0	248	2.5514	0.1389	0.0536	0.1181	0.1176	19.0

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: May 29, 2023
Updated: Sep 29, 2023