keyword-summarizer-2000-v1

Z-H-Che/keyword-summarizer-2000-v1

keyword-summarizer-2000-v1 is a machine learning model from Z-H-Che. 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. --

Downloads · 30 days

17% of all-time downloads

All-time downloads

Public

Parameters

248M

2 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors990 MB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Nov 17, 2024
Updated: Nov 17, 2024
SHA: e9034b84

Base models

google/flan-t5-base

Model card

From the Hugging Face model README

keyword-summarizer-2000-v1

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9342
Rouge1: 0.6956
Rouge2: 0.5275
Rougel: 0.6489
Rougelsum: 0.6482

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: 0.0003
train_batch_size: 8
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	175	0.9926	0.6791	0.5030	0.6309	0.6305
No log	2.0	350	0.9185	0.6956	0.5209	0.6432	0.6427
1.0163	3.0	525	0.9170	0.6976	0.5267	0.6455	0.6448
1.0163	4.0	700	0.9342	0.6956	0.5275	0.6489	0.6482

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 17, 2024
Updated: Nov 17, 2024