You can deploy this model and start earning money today!

pimcore/
car-class-classification

Name: car-class-classification
Rating: 2.5 (8 reviews)

generated_from_trainer

distilbert/distilbert-base-uncased

Views

No views yet

car-class-classification

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: 1.0821
Accuracy: 0.6957

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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	6	2.0896	0.4348
No log	2.0	12	1.8890	0.4348
No log	3.0	18	1.7669	0.5652
No log	4.0	24	1.5707	0.6957
No log	5.0	30	1.4176	0.6522
No log	6.0	36	1.2799	0.6522
No log	7.0	42	1.1758	0.6522
No log	8.0	48	1.1255	0.6522
No log	9.0	54	1.0973	0.6957
No log	10.0	60	1.0821	0.6957

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

pimcore/car-class-classification

car-class-classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pimcore/
car-class-classification