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lora-blip-finetuned
diyanigam/lora-blip-finetuned
lora-blip-finetuned is a machine learning model from diyanigam. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as bsd-3-clause.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- bsd-3-clause
- Model type
- blip
- Access
- Public
- Created
- Oct 23, 2024
- Updated
- Nov 18, 2024
- SHA
- d2ab9553
Base models
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. -->
lora-blip-finetuned
This model is a fine-tuned version of Salesforce/blip-image-captioning-base on the None dataset.
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: 30
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- Type
- blip
- License
- bsd-3-clause
- Created
- Oct 23, 2024
- Updated
- Nov 18, 2024