vxnli-v1

kwkty/vxnli-v1

vxnli-v1 is a machine learning model from kwkty. 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 mit.

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

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At a glance

Library: transformers
License: mit
Model type: bart
Access: Public
Created: Dec 25, 2022
Updated: Dec 27, 2022
SHA: e6de6615

Model card

From the Hugging Face model README

vxnli-v1

This model is a fine-tuned version of kwkty/vxnli-v0 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2262
Exact Match: 0.6407

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: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match
0.1092	1.0	158	0.1820	0.5704
0.0432	2.0	316	0.2149	0.5593
0.0266	3.0	474	0.2721	0.5370
0.0193	4.0	632	0.2456	0.5889
0.0168	5.0	790	0.2382	0.6111
0.0138	6.0	948	0.2910	0.5741
0.0146	7.0	1106	0.2559	0.5889
0.0078	8.0	1264	0.2927	0.5630
0.0073	9.0	1422	0.3346	0.5741
0.0063	10.0	1580	0.3308	0.5481

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2

Library: transformers
Type: bart
License: mit
Created: Dec 25, 2022
Updated: Dec 27, 2022