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fabric_classifier
0x-Jayveersinh-Raj/fabric_classifier
fabric_classifier is a image-text-to-text model from 0x-Jayveersinh-Raj. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. 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
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- blip
- Access
- Public
- Created
- Oct 17, 2025
- Updated
- Oct 17, 2025
- SHA
- 0c58d0ba
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
fabric_classifier
This model is a fine-tuned version of 0x-Jayveersinh-Raj/fabric_classifier on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 2.0567
- Accuracy: 0.65
- F1 Macro: 0.2581
- F1 Micro: 0.5
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: 3e-05
- train_batch_size: 8
- 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: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- blip
- License
- apache-2.0
- Created
- Oct 17, 2025
- Updated
- Oct 17, 2025