mtl-infoxlm-base-viwiki

MiuN2k3/mtl-infoxlm-base-viwiki

mtl-infoxlm-base-viwiki is a machine learning model from MiuN2k3. 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.

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
Model type: roberta
Access: Public
Created: Sep 9, 2024
Updated: Sep 9, 2024
SHA: 44ea1f23

Base models

microsoft/infoxlm-base

Model card

From the Hugging Face model README

mtl-infoxlm-base-viwiki

This model is a fine-tuned version of microsoft/infoxlm-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5990

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.9148	1.0	960	0.8810
0.7963	2.0	1920	0.7163
0.6912	3.0	2880	0.6774
0.7008	4.0	3840	0.6341
0.6108	5.0	4800	0.6281
0.6085	6.0	5760	0.6240
0.487	7.0	6720	0.5996
0.6151	8.0	7680	0.5914
0.5214	9.0	8640	0.5911
0.5058	10.0	9600	0.5990

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Library: transformers
Type: roberta
Created: Sep 9, 2024
Updated: Sep 9, 2024