Training complete
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README.md
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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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generation_config.json
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{
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"num_beams": 3,
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"transformers_version": "4.46.0.dev0"
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}
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runs/Sep30_11-52-12_2949835eac94/events.out.tfevents.1727697146.2949835eac94.734.0
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size
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size 15278
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