metadata
library_name: transformers
license: mit
base_model: microsoft/Florence-2-base-ft
tags:
- generated_from_trainer
model-index:
- name: Florence-2-FT-JP-TF
results: []
Florence-2-FT-JP-TF
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: 3.2269
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: 7e-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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4289 | 1.0 | 45 | 2.8658 |
| 1.7576 | 2.0 | 90 | 2.8422 |
| 1.4401 | 3.0 | 135 | 2.9391 |
| 1.2229 | 4.0 | 180 | 2.9810 |
| 1.0519 | 5.0 | 225 | 2.9622 |
| 0.9047 | 6.0 | 270 | 3.0516 |
| 0.8089 | 7.0 | 315 | 3.0336 |
| 0.7068 | 8.0 | 360 | 3.0954 |
| 0.6517 | 9.0 | 405 | 3.1408 |
| 0.5915 | 10.0 | 450 | 3.1432 |
| 0.5247 | 11.0 | 495 | 3.2247 |
| 0.5032 | 12.0 | 540 | 3.2057 |
| 0.4687 | 13.0 | 585 | 3.2391 |
| 0.4615 | 14.0 | 630 | 3.2328 |
| 0.4484 | 15.0 | 675 | 3.2269 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.20.3