cleaned_ds

Musab-Bin-Nadeem/cleaned_ds

cleaned_ds is a machine learning model from Musab-Bin-Nadeem. 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. --

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At a glance

Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: Sep 25, 2024
Updated: Sep 25, 2024
SHA: 8f529326

Base models

sshleifer/distilbart-cnn-12-6

Model card

From the Hugging Face model README

cleaned_ds

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.2803
Rouge1: 0.2705
Rouge2: 0.0363
Rougel: 0.1609
Rougelsum: 0.1609
Generated Length: 113.0

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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Generated Length
No log	1.0	1	4.5060	0.2826	0.0384	0.1694	0.1694	95.0
No log	2.0	2	4.3368	0.2832	0.0333	0.1701	0.1701	82.0
No log	3.0	3	4.2803	0.2705	0.0363	0.1609	0.1609	113.0

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Library: transformers
Type: bart
License: apache-2.0
Created: Sep 25, 2024
Updated: Sep 25, 2024