bart-base-finetuned-explanation

ishitaunde/bart-base-finetuned-explanation

bart-base-finetuned-explanation is a machine learning model from ishitaunde. 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: Jul 23, 2024
Updated: Jul 23, 2024
SHA: 63605ebd

Base models

facebook/bart-base

Model card

From the Hugging Face model README

bart-base-finetuned-explanation

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

Loss: 0.2148
Rouge1: 0.1029
Rouge2: 0.0092
Rougel: 0.1032
Rougelsum: 0.1037

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: 5.6e-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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.8399	1.0	119	0.2340	0.0924	0.0061	0.0882	0.0871
0.2248	2.0	238	0.2141	0.0964	0.0094	0.0891	0.0902
0.179	3.0	357	0.2148	0.1029	0.0092	0.1032	0.1037

Framework versions

Transformers 4.41.2
Pytorch 1.11.0
Datasets 2.19.2
Tokenizers 0.19.1

Library: transformers
Type: bart
License: apache-2.0
Created: Jul 23, 2024
Updated: Jul 23, 2024