story_summarizer-finetuned

kgBolt/story_summarizer-finetuned

story_summarizer-finetuned is a machine learning model from kgBolt. 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 mit.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

422

Public

Repo size

14.6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.6 GB · 100%

At a glance

Library: transformers
License: mit
Model type: bart
Access: Public
Created: Mar 30, 2023
Updated: Apr 3, 2023
SHA: bc2add43

Model card

From the Hugging Face model README

story_summarizer-finetuned

This model is a fine-tuned version of philschmid/bart-large-cnn-samsum on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.9028
Rouge1: 30.4344
Rouge2: 6.2601
Rougel: 18.9971
Rougelsum: 26.4496
Gen Len: 95.0942

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	150	2.8526	29.1919	5.8045	18.2639	25.4635	102.0117
No log	2.0	300	2.8654	30.0355	6.0614	18.7598	26.1234	96.4292
No log	3.0	450	2.9028	30.4344	6.2601	18.9971	26.4496	95.0942

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.2

Library: transformers
Type: bart
License: mit
Created: Mar 30, 2023
Updated: Apr 3, 2023