ft_models
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: 1.3654
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: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0327 | 0.5939 | 200 | 1.6304 |
| 1.4257 | 1.1901 | 400 | 1.4962 |
| 1.2596 | 1.7840 | 600 | 1.4158 |
| 1.1303 | 2.3801 | 800 | 1.3747 |
| 1.0669 | 2.9740 | 1000 | 1.3405 |
| 0.9193 | 3.5702 | 1200 | 1.3421 |
| 0.8764 | 4.1663 | 1400 | 1.3703 |
| 0.7747 | 4.7602 | 1600 | 1.3654 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 12
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The HF Inference API does not support model that require custom code execution.
Model tree for aipib/ft_models
Base model
microsoft/Florence-2-base-ft