| | --- |
| | base_model: microsoft/Florence-2-base-ft |
| | library_name: peft |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: florence2_lora_vqa |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # florence2_lora_vqa |
| |
|
| | This model is a fine-tuned version of [microsoft/Florence-2-base-ft](https://huggingface.co/microsoft/Florence-2-base-ft) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 4.4793 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 20 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-------:|:----:|:---------------:| |
| | | 5.1294 | 7.0423 | 500 | 4.7076 | |
| | | 4.8355 | 14.0845 | 1000 | 4.4793 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.13.3.dev0 |
| | - Transformers 4.45.2 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.20.1 |
