blip_finetuned_fashion – AI Model by Ornelas | AlphaNeural AI

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Ornelas/
blip_finetuned_fashion

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visual-question-answering

generated_from_trainer

Salesforce/blip-vqa-base

endpoints_compatible

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blip_finetuned_fashion

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

Loss: 0.0916

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: 4
eval_batch_size: 8
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
9.4382	1.0	28	8.7410
5.7906	2.0	56	4.4909
2.6817	3.0	84	1.9184
0.6839	4.0	112	0.4660
0.1304	5.0	140	0.1403
0.0621	6.0	168	0.1171
0.0322	7.0	196	0.0961
0.0178	8.0	224	0.0963
0.0119	9.0	252	0.0918
0.0088	10.0	280	0.0916

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2