florence_ft
This model is a fine-tuned version of HuggingFaceM4/Florence-2-DocVQA 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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.1+cu117
- Tokenizers 0.19.1
- Downloads last month
- 30
Inference API (serverless) does not yet support model repos that contain custom code.
Model tree for jena-shreyas/florence_ft
Base model
microsoft/Florence-2-base-ft
Finetuned
HuggingFaceM4/Florence-2-DocVQA