multilingual-e5-base-ling-cls

CeroShrijver/multilingual-e5-base-ling-cls

multilingual-e5-base-ling-cls is a text classification model from CeroShrijver. Use it when you need a label for a piece of text. 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

Task: Text Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Jun 23, 2023
Updated: Jun 23, 2023
SHA: 21bf00cf

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Model card

From the Hugging Face model README

multilingual-e5-base-ling-cls

This model is a fine-tuned version of intfloat/multilingual-e5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9649
Accuracy: 0.7679

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.527	1.0	1009	0.5061	0.7848
0.4486	2.0	2018	0.5401	0.7879
0.3367	3.0	3027	0.6304	0.7783
0.2428	4.0	4036	0.7793	0.7705
0.1649	5.0	5045	0.9649	0.7679

Framework versions

Transformers 4.29.2
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.11.6

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Jun 23, 2023
Updated: Jun 23, 2023