bart-base-finetuned-kagglenews-entityfiltering

chandank/bart-base-finetuned-kagglenews-entityfiltering

bart-base-finetuned-kagglenews-entityfiltering is a machine learning model from chandank. 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: bart
Access: Public
Created: Mar 2, 2022
Updated: Oct 27, 2021
SHA: dabdfecb

Model card

From the Hugging Face model README

bart-base-finetuned-kagglenews-entityfiltering

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

Loss: 1.5703
Rouge1: 28.2719
Rouge2: 15.6883
Rougel: 24.0674
Rougelsum: 25.616
Gen Len: 20.0

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.9187	1.0	863	1.5703	28.2719	15.6883	24.0674	25.616	20.0

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu102
Datasets 1.14.0
Tokenizers 0.10.3

Library: transformers
Type: bart
License: apache-2.0
Created: Mar 2, 2022
Updated: Oct 27, 2021