created_model
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: 1.7657
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5758 | 1.0 | 22 | 1.7627 |
| 1.1636 | 2.0 | 44 | 2.3089 |
| 0.9265 | 3.0 | 66 | 1.7357 |
| 0.7011 | 4.0 | 88 | 1.6376 |
| 0.6003 | 5.0 | 110 | 1.5972 |
| 0.4465 | 6.0 | 132 | 1.9380 |
| 0.2891 | 7.0 | 154 | 2.3485 |
| 0.2896 | 8.0 | 176 | 1.7245 |
| 0.2192 | 9.0 | 198 | 1.7667 |
| 0.1263 | 10.0 | 220 | 1.7657 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.3.1+cu121
- Tokenizers 0.20.2
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microsoft/Florence-2-large-ft