fashion_cls – AI Model by EnasEmad | AlphaNeural AI

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EnasEmad/
fashion_cls

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

text-embeddings-inference

endpoints_compatible

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fashion_cls

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

Loss: 0.0377
Accuracy: 0.9898
F1: 0.9898

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1345	1.0	74	0.0877	0.9694	0.9694
0.0311	2.0	148	0.0377	0.9898	0.9898
0.0396	3.0	222	0.0970	0.9762	0.9763
0.0212	4.0	296	0.0732	0.9830	0.9830
0.0155	5.0	370	0.0486	0.9898	0.9898
0.0004	6.0	444	0.0717	0.9864	0.9864

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1