metadata
license: mit
base_model: microsoft/Florence-2-large-ft
tags:
- image-text-to-text
- generated_from_trainer
model-index:
- name: Florence-2-large-TableDetection
results: []
Florence-2-large-TableDetection
This model is a fine-tuned version of microsoft/Florence-2-large-ft on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7601
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3199 | 1.0 | 169 | 1.0372 |
| 0.7922 | 2.0 | 338 | 0.9169 |
| 0.6824 | 3.0 | 507 | 0.8411 |
| 0.6109 | 4.0 | 676 | 0.8168 |
| 0.5752 | 5.0 | 845 | 0.7915 |
| 0.5605 | 6.0 | 1014 | 0.7862 |
| 0.5291 | 7.0 | 1183 | 0.7740 |
| 0.517 | 8.0 | 1352 | 0.7683 |
| 0.5139 | 9.0 | 1521 | 0.7642 |
| 0.5005 | 10.0 | 1690 | 0.7601 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1