bart-large-cnn-aprischa2

aprischa/bart-large-cnn-aprischa2

bart-large-cnn-aprischa2 is a machine learning model from aprischa. 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. --

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At a glance

Library: transformers
License: mit
Model type: bart
Access: Public
Created: Jun 11, 2022
Updated: Jun 11, 2022
SHA: 77433249

Model card

From the Hugging Face model README

bart-large-cnn-aprischa2

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

Loss: 0.3425
Rouge1: 65.7088
Rouge2: 56.6701
Rougel: 62.1926
Rougelsum: 64.7727
Gen Len: 140.8469

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: 3e-05
train_batch_size: 2
eval_batch_size: 2
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
0.3772	1.0	5403	0.3586	65.7702	56.7968	62.264	64.8605	140.268
0.316	2.0	10806	0.3421	64.8238	55.8837	61.3245	63.8894	140.7472
0.2397	3.0	16209	0.3425	65.7088	56.6701	62.1926	64.7727	140.8469

Framework versions

Transformers 4.19.4
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Library: transformers
Type: bart
License: mit
Created: Jun 11, 2022
Updated: Jun 11, 2022