bart-large-cnn-finetuned-roundup-2-2

theojolliffe/bart-large-cnn-finetuned-roundup-2-2

bart-large-cnn-finetuned-roundup-2-2 is a machine learning model from theojolliffe. 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: May 4, 2022
Updated: May 5, 2022
SHA: 062c5bdc

Model card

From the Hugging Face model README

bart-large-cnn-finetuned-roundup-2-2

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: 1.1521
Rouge1: 52.6634
Rouge2: 32.537
Rougel: 33.3148
Rougelsum: 50.148
Gen Len: 142.0

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: 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: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	167	1.2139	52.546	32.4912	32.9529	49.8241	142.0
No log	2.0	334	1.1521	52.6634	32.537	33.3148	50.148	142.0

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1

Library: transformers
Type: bart
License: mit
Created: May 4, 2022
Updated: May 5, 2022