BART-finetuned-on-training-without-knowledge

louistichelman/BART-finetuned-on-training-without-knowledge

BART-finetuned-on-training-without-knowledge is a machine learning model from louistichelman. 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: Jan 6, 2024
Updated: Jan 6, 2024
SHA: f242643a

Base models

facebook/bart-large

Model card

From the Hugging Face model README

BART-finetuned-on-training-without-knowledge

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

Loss: 2.2844
Bleu: 2.829
Gen Len: 19.3589

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: 3
eval_batch_size: 3
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	Bleu	Gen Len
2.6072	1.0	1679	2.3674	2.3478	19.8107
2.2177	2.0	3358	2.2844	2.829	19.3589

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.13.0
Tokenizers 0.14.1

Library: transformers
Type: bart
License: apache-2.0
Created: Jan 6, 2024
Updated: Jan 6, 2024