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florence2-tpu-finetune
ljnlonoljpiljm/florence2-tpu-finetune
florence2-tpu-finetune is a image-text-to-text model from ljnlonoljpiljm. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- Model type
- florence2
- Access
- Public
- Created
- Feb 1, 2026
- Updated
- May 7, 2026
- SHA
- ceaa90bc
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Base models
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. -->
florence2-tpu-finetune
This model is a fine-tuned version of ljnlonoljpiljm/florence-vqa-bf16 on the generator 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_XLA with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.02
- training_steps: 250000
Framework versions
- Transformers 4.48.0
- Pytorch 2.9.0+cpu
- Datasets 3.2.0
- Tokenizers 0.21.4
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- florence2
- Created
- Feb 1, 2026
- Updated
- May 7, 2026