bart-large-xsum-finetuned-en-sum

october-sd/bart-large-xsum-finetuned-en-sum

bart-large-xsum-finetuned-en-sum is a summarization model from october-sd. Use it when you need a shorter version of a longer text. 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

Task: Summarization
Library: transformers
License: mit
Model type: bart
Access: Public
Created: Mar 14, 2024
Updated: Mar 15, 2024
SHA: a8a57a0e

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Base models

facebook/bart-large-xsum

Model card

From the Hugging Face model README

bart-large-xsum-finetuned-en-sum

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

Loss: 1.5989

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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 512
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
No log	0.99	126	1.6037
No log	1.98	252	1.5989

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.2

Task: Summarization
Library: transformers
Type: bart
License: mit
Created: Mar 14, 2024
Updated: Mar 15, 2024