Florence-2-FT-JP-TF
This model is a fine-tuned version of microsoft/Florence-2-base-ft on SakanaAI/JA-VG-VQA-500 dataset. It achieves the following results on the evaluation set:
- Loss: 1.3826
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0416 | 1.0 | 1000 | 1.6576 |
| 1.3098 | 2.0 | 2000 | 1.4314 |
| 0.9951 | 3.0 | 3000 | 1.4185 |
| 0.8056 | 4.0 | 4000 | 1.3705 |
| 0.6916 | 5.0 | 5000 | 1.3826 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.20.3
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Model tree for aipib/Florence-2-FT-JP-TF
Base model
microsoft/Florence-2-base-ft