results

ahmedBargady/results

results is a text classification model from ahmedBargady. 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: Jun 26, 2024
Updated: Jun 26, 2024
SHA: 4a0f8fdd

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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: 0.7070
Accuracy: 0.7301
F1: 0.7096
Precision: 0.7031
Recall: 0.7301

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	229	0.7495	0.7333	0.6819	0.6584	0.7333
No log	2.0	458	0.6883	0.7421	0.7083	0.6912	0.7421
0.8212	3.0	687	0.7070	0.7301	0.7096	0.7031	0.7301

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 26, 2024
Updated: Jun 26, 2024