my_awesome_model_1

NadineMostafa/my_awesome_model_1

my_awesome_model_1 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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At a glance

License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 1, 2024
Updated: Sep 1, 2024
SHA: cafde5eb

Base models

distilbert/distilbert-base-uncased

Model card

From the Hugging Face model README

my_awesome_model_1

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

Loss: 0.1570
Accuracy: 0.9291
F1: 0.9326
Precision: 0.9256
Recall: 0.9397

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
0.4647	1.0	1225	0.4080	0.7882	0.7921	0.8118	0.7734
0.4024	2.0	2450	0.3497	0.8101	0.7957	0.9069	0.7088
0.3378	3.0	3675	0.2760	0.8603	0.8595	0.9045	0.8188
0.2879	4.0	4900	0.2188	0.8910	0.8935	0.9109	0.8767
0.2459	5.0	6125	0.1760	0.9181	0.9241	0.8948	0.9554
0.2075	6.0	7350	0.1570	0.9291	0.9326	0.9256	0.9397

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

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