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vision-tags-paligemma-qlora
acchf/vision-tags-paligemma-qlora
vision-tags-paligemma-qlora is a image-text-to-text model from acchf. 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 gemma.
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
- gemma
- Model type
- paligemma
- Access
- Public
- Created
- Jun 16, 2025
- Updated
- Jun 19, 2025
- SHA
- c1c0df6b
Try a prompt
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. -->
vision-tags-paligemma-qlora
This model is a fine-tuned version of google/paligemma-3b-mix-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2083
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: 16
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7663 | 0.0580 | 100 | 0.3039 |
| 1.0343 | 0.1159 | 200 | 0.2727 |
| 1.0763 | 0.1739 | 300 | 0.2598 |
| 0.9531 | 0.2318 | 400 | 0.2480 |
| 0.8547 | 0.2898 | 500 | 0.2407 |
| 0.9085 | 0.3477 | 600 | 0.2314 |
| 0.8865 | 0.4057 | 700 | 0.2262 |
| 0.7912 | 0.4636 | 800 | 0.2216 |
| 0.8547 | 0.5216 | 900 | 0.2178 |
| 0.8279 | 0.5795 | 1000 | 0.2147 |
| 0.8697 | 0.6375 | 1100 | 0.2129 |
| 0.8538 | 0.6955 | 1200 | 0.2104 |
| 0.8126 | 0.7534 | 1300 | 0.2098 |
| 0.8165 | 0.8114 | 1400 | 0.2089 |
| 0.8485 | 0.8693 | 1500 | 0.2086 |
| 0.8075 | 0.9273 | 1600 | 0.2083 |
| 0.8574 | 0.9852 | 1700 | 0.2083 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- paligemma
- License
- gemma
- Created
- Jun 16, 2025
- Updated
- Jun 19, 2025