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--- |
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library_name: transformers |
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license: mit |
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base_model: microsoft/Florence-2-large-ft |
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tags: |
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- image-text-to-text |
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- generated_from_trainer |
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model-index: |
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- name: florence_final |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# florence_final |
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This model is a fine-tuned version of [microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4388 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7274 | 1.0 | 153 | 2.4825 | |
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| 2.0884 | 2.0 | 306 | 2.1203 | |
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| 1.8651 | 3.0 | 459 | 1.9587 | |
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| 1.7054 | 4.0 | 612 | 1.8127 | |
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| 1.5836 | 5.0 | 765 | 1.7042 | |
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| 1.4901 | 6.0 | 918 | 1.6121 | |
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| 1.4098 | 7.0 | 1071 | 1.5336 | |
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| 1.3635 | 8.0 | 1224 | 1.4825 | |
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| 1.3231 | 9.0 | 1377 | 1.4545 | |
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| 1.296 | 10.0 | 1530 | 1.4388 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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