bart-large-xsum-finetuned-samsum-v2

amagzari/bart-large-xsum-finetuned-samsum-v2

bart-large-xsum-finetuned-samsum-v2 is a machine learning model from amagzari. 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: Dec 13, 2022
Updated: Dec 13, 2022
SHA: 9c2ce3bc

Datasets

samsum

Model card

From the Hugging Face model README

bart-large-xsum-finetuned-samsum-v2

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

Loss: 1.4078
Rouge1: 54.1988
Rouge2: 29.3478
Rougel: 44.6308
Rougelsum: 49.8443
Gen Len: 29.0538

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
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
1.3515	1.0	1841	1.4078	54.1988	29.3478	44.6308	49.8443	29.0538

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2

Library: transformers
Type: bart
License: mit
Created: Dec 13, 2022
Updated: Dec 13, 2022