category_cleaning – AI Model by kpalczewski-displate | AlphaNeural AI

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kpalczewski-displate/
category_cleaning

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zero-shot-image-classification

generated_from_trainer

Displate/category_cleaning

endpoints_compatible

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category_cleaning

This model was trained from scratch on the Displate/category_cleaning dataset. It achieves the following results on the evaluation set:

Loss: 4.5536

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
3.0173	0.26	100	4.2489
2.8146	0.51	200	4.2605
2.7177	0.77	300	4.2547
2.6338	1.02	400	4.3864
2.102	1.28	500	4.3538
2.1015	1.53	600	4.3395
2.0691	1.79	700	4.3363
1.9422	2.04	800	4.6331
1.4405	2.3	900	4.5653
1.3896	2.55	1000	4.5768
1.3735	2.81	1100	4.5610

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2