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florence2DAV1
Nikhil-aka-Nick/florence2DAV1
florence2DAV1 is a image-text-to-text model from Nikhil-aka-Nick. 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 mit.
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
- mit
- Model type
- florence2
- Access
- Public
- Created
- Feb 6, 2025
- Updated
- Feb 12, 2025
- SHA
- 98d6fe56
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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. -->
florence2DAV1
This model is a fine-tuned version of microsoft/Florence-2-large on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.6048
- eval_runtime: 81.556
- eval_samples_per_second: 2.514
- eval_steps_per_second: 2.514
- epoch: 5.0
- step: 4085
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: 1e-06
- train_batch_size: 1
- eval_batch_size: 1
- 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: 10
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- florence2
- License
- mit
- Created
- Feb 6, 2025
- Updated
- Feb 12, 2025