rubert-tiny2-finetuned-classification

sibstrider/rubert-tiny2-finetuned-classification

rubert-tiny2-finetuned-classification is a text classification model from sibstrider. 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: bert
Access: Public
Created: Jan 14, 2024
Updated: Jan 15, 2024
SHA: 85c274cf

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Base models

cointegrated/rubert-tiny2

Model card

From the Hugging Face model README

rubert-tiny2-finetuned-classification

This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4803
Accuracy: 0.8857

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
No log	1.0	138	0.6689	0.8571
No log	2.0	276	0.5727	0.8653
No log	3.0	414	0.5141	0.8694
0.6234	4.0	552	0.4879	0.8816
0.6234	5.0	690	0.4803	0.8857

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cpu
Datasets 2.16.1
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Jan 14, 2024
Updated: Jan 15, 2024