distilbart-cnn-12-6-finetuned-1.2.0

jamesesguerra/distilbart-cnn-12-6-finetuned-1.2.0

distilbart-cnn-12-6-finetuned-1.2.0 is a machine learning model from jamesesguerra. 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: Oct 8, 2022
Updated: Oct 8, 2022
SHA: 6f12a6c5

Model card

From the Hugging Face model README

distilbart-cnn-12-6-finetuned-1.2.0

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2276
Rouge1: 38.3653
Rouge2: 18.587
Rougel: 32.3348
Rougelsum: 32.4829

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: 5e-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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.6933	1.0	98	2.2276	38.3653	18.587	32.3348	32.4829

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1

Library: transformers
Type: bart
License: apache-2.0
Created: Oct 8, 2022
Updated: Oct 8, 2022