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florence2_lora_vqa
aghoraguru/florence2_lora_vqa
florence2_lora_vqa is a machine learning model from aghoraguru. 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. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Oct 23, 2024
- Updated
- Oct 25, 2024
- SHA
- 21c6d238
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. -->
florence2_lora_vqa
This model is a fine-tuned version of microsoft/Florence-2-base-ft on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4793
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.1294 | 7.0423 | 500 | 4.7076 |
| 4.8355 | 14.0845 | 1000 | 4.4793 |
Framework versions
- PEFT 0.13.3.dev0
- Transformers 4.45.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.1
- Library
- peft
- License
- mit
- Created
- Oct 23, 2024
- Updated
- Oct 25, 2024