results

NikiSP/results

results is a text classification model from NikiSP. 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: bert
Access: Public
Created: Jul 1, 2024
Updated: Jul 1, 2024
SHA: 07169eef

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Base models

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.0751
Precision: 0.5648
Recall: 0.5655
Accuracy: 0.5655
F1: 0.5649

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	Accuracy	F1
1.1943	1.0	367	1.1549	0.5341	0.5155	0.5155	0.5161
0.9064	2.0	734	1.1347	0.5568	0.5608	0.5608	0.5528
0.512	3.0	1101	1.4481	0.5636	0.5330	0.5330	0.5261
0.228	4.0	1468	1.7226	0.5633	0.5608	0.5608	0.5588
0.1355	5.0	1835	2.0751	0.5648	0.5655	0.5655	0.5649

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 1, 2024
Updated: Jul 1, 2024