greenery_finder_model_v2

Sandrro/greenery_finder_model_v2

greenery_finder_model_v2 is a text classification model from Sandrro. 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: May 24, 2023
Updated: May 24, 2023
SHA: e0ade540

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Model card

From the Hugging Face model README

greenery_finder_model_v2

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: 0.1768
F1: 0.9700

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.1936	1.0	896	0.2916	0.9500
0.3054	2.0	1792	0.1344	0.9700
0.1174	3.0	2688	0.1948	0.9700
0.0417	4.0	3584	0.1929	0.9700
0.1048	5.0	4480	0.1768	0.9700

Framework versions

Transformers 4.28.1
Pytorch 2.1.0.dev20230523+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: May 24, 2023
Updated: May 24, 2023