bart-finetuned-eli5_precomputed_best

adamjweintraut/bart-finetuned-eli5_precomputed_best

bart-finetuned-eli5_precomputed_best is a machine learning model from adamjweintraut. 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

271

Public

Parameters

406M

3.3 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.6 GB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: Dec 6, 2023
Updated: Dec 9, 2023
SHA: acd98c3f

Base models

facebook/bart-large

Model card

From the Hugging Face model README

bart-finetuned-eli5_precomputed_best

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

Loss: 1.8045

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-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
2.0094	0.4	500	1.8642
1.808	0.8	1000	1.8719
1.7532	1.2	1500	1.8353
1.7879	1.6	2000	1.8151
1.7312	2.0	2500	1.8045

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: bart
License: apache-2.0
Created: Dec 6, 2023
Updated: Dec 9, 2023