Downloads · 30 days
2
9% of all-time downloads
paligemma_a-okvqa
samuelebolotta/paligemma_a-okvqa
paligemma_a-okvqa is a machine learning model from samuelebolotta. 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. --
All-time downloads
22
Public
Repo size
407 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors45.3 MB · 100%
At a glance
- Library
- peft
- Access
- Public
- Created
- Sep 26, 2024
- Updated
- Nov 15, 2024
- SHA
- 66e47afe
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. -->
paligemma_a-okvqa
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- Created
- Sep 26, 2024
- Updated
- Nov 15, 2024