bart-large-cnn-finetuned-split-laws

viktor-shevchuk/bart-large-cnn-finetuned-split-laws

bart-large-cnn-finetuned-split-laws is a machine learning model from viktor-shevchuk. 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: Aug 26, 2024
Updated: Aug 27, 2024
SHA: 8e9df7d8

Base models

facebook/bart-large-cnn

Model card

From the Hugging Face model README

bart-large-cnn-finetuned-split-laws

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

Loss: 1.8724
Rouge1: 36.1748
Rouge2: 17.1919
Rougel: 28.1489
Rougelsum: 29.0824
Gen Len: 80.053

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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.0279	1.0	1185	1.8724	36.1748	17.1919	28.1489	29.0824	80.053

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Library: transformers
Type: bart
License: mit
Created: Aug 26, 2024
Updated: Aug 27, 2024