distilbert-multilingual-uncased-oct-3

SmilestheSad/distilbert-multilingual-uncased-oct-3

distilbert-multilingual-uncased-oct-3 is a text classification model from SmilestheSad. Use it when you need a label for a piece of text. 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

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Oct 4, 2022
Updated: Oct 4, 2022
SHA: 7045161f

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Model card

From the Hugging Face model README

distilbert-multilingual-uncased-oct-3

This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0532
F1: 0.9073

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: 4e-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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.1205	1.0	565	0.0662	0.8449
0.0524	2.0	1130	0.0535	0.8921
0.033	3.0	1695	0.0532	0.9073

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Oct 4, 2022
Updated: Oct 4, 2022