my_awesome_model_2

NadineMostafa/my_awesome_model_2

my_awesome_model_2 is a machine learning model from NadineMostafa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Sep 1, 2024
Updated: Sep 2, 2024
SHA: 7008be96

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

my_awesome_model_2

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

Loss: 0.1188
Accuracy: 0.9479
F1: 0.9507
Precision: 0.9389
Recall: 0.9628

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.4769	1.0	1225	0.4127	0.7860	0.7898	0.8100	0.7706
0.4112	2.0	2450	0.3482	0.8268	0.8197	0.8972	0.7546
0.3384	3.0	3675	0.2593	0.8856	0.8925	0.8760	0.9096
0.2788	4.0	4900	0.1963	0.9140	0.9172	0.9217	0.9127
0.2312	5.0	6125	0.1461	0.9400	0.9441	0.9179	0.9718
0.1791	6.0	7350	0.1188	0.9479	0.9507	0.9389	0.9628

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Sep 1, 2024
Updated: Sep 2, 2024