vxnli-v0

kwkty/vxnli-v0

vxnli-v0 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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Hugging Face

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At a glance

Library: transformers
License: mit
Model type: bart
Access: Public
Created: Dec 23, 2022
Updated: Dec 24, 2022
SHA: 2f2e5ef0

Model card

From the Hugging Face model README

vxnli-v0

This model is a fine-tuned version of microsoft/tapex-base-finetuned-wtq on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3409
Exact Match: 0.6371

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: 32
eval_batch_size: 32
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
0.2238	1.0	400	0.3173	0.5495
0.0189	2.0	800	0.3454	0.5769
0.0117	3.0	1200	0.3820	0.5509
0.0077	4.0	1600	0.3753	0.5769
0.0063	5.0	2000	0.3912	0.5935
0.0054	6.0	2400	0.3932	0.5906
0.0052	7.0	2800	0.3967	0.5740
0.0049	8.0	3200	0.3899	0.6101
0.004	9.0	3600	0.4111	0.5978
0.0045	10.0	4000	0.4381	0.5870
0.0038	11.0	4400	0.5001	0.5617
0.0036	12.0	4800	0.4930	0.5834
0.0044	13.0	5200	0.4405	0.5639

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 23, 2022
Updated: Dec 24, 2022