results

lizaboiarchuk/results

results is a text classification model from lizaboiarchuk. 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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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jan 27, 2023
Updated: Jan 27, 2023
SHA: 4c1899db

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Model card

From the Hugging Face model README

results

This model is a fine-tuned version of cointegrated/rubert-tiny2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2872
F1: 0.6095

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: 21
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.3356	1.0	1033	0.2558	0.3761
0.2588	2.0	2066	0.2352	0.5246
0.2252	3.0	3099	0.2292	0.5996
0.2044	4.0	4132	0.2417	0.5950
0.189	5.0	5165	0.2433	0.6102
0.1718	6.0	6198	0.2671	0.5894
0.1627	7.0	7231	0.2686	0.6319
0.1513	8.0	8264	0.2779	0.6079
0.1451	9.0	9297	0.2848	0.6195
0.1429	10.0	10330	0.2872	0.6095

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Jan 27, 2023
Updated: Jan 27, 2023