bart-base-finetuned-samsum-v2

amagzari/bart-base-finetuned-samsum-v2

bart-base-finetuned-samsum-v2 is a summarization model from amagzari. Use it when you need a shorter version of a longer text. 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

Task: Summarization
Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: Nov 27, 2022
Updated: Nov 27, 2022
SHA: 5def675e

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Datasets

samsum

Model card

From the Hugging Face model README

bart-base-finetuned-samsum-v2

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

Loss: 1.5326
Rouge1: 47.3928
Rouge2: 24.0713
Rougel: 40.029
Rougelsum: 43.6252
Gen Len: 17.8154

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
1.59	1.0	1841	1.5326	47.3928	24.0713	40.029	43.6252	17.8154

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2

Task: Summarization
Library: transformers
Type: bart
License: apache-2.0
Created: Nov 27, 2022
Updated: Nov 27, 2022