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vqa_rad_model
aizanzafar/vqa_rad_model
vqa_rad_model is a machine learning model from aizanzafar. 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.
should probably proofread and complete it, then remove this comment. --
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Repo size
419 MB
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At a glance
- Library
- peft
- Access
- Public
- Created
- Dec 5, 2024
- Updated
- Dec 7, 2024
- SHA
- dcf8b214
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. -->
vqa_rad_model
This model was trained from scratch on an unknown 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Training results
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.3
- Library
- peft
- Created
- Dec 5, 2024
- Updated
- Dec 7, 2024