thesis-bart-finetuned

roofdancer/thesis-bart-finetuned

thesis-bart-finetuned is a machine learning model from roofdancer. 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 apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

285

Public

Parameters

230M

5.5 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors920 MB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: May 2, 2024
Updated: May 2, 2024
SHA: 4cd42430

Base models

sshleifer/distilbart-cnn-6-6

Model card

From the Hugging Face model README

thesis-bart-finetuned

This model is a fine-tuned version of sshleifer/distilbart-cnn-6-6 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4528
Rouge1: 40.6581
Rouge2: 14.5046
Rougel: 21.8144
Rougelsum: 36.4842
Gen Len: 141.4392

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: 16
eval_batch_size: 16
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
2.5368	1.0	2811	2.4528	40.6581	14.5046	21.8144	36.4842	141.4392

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: bart
License: apache-2.0
Created: May 2, 2024
Updated: May 2, 2024