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--- |
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base_model: ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: BITAMIN_PET_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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# BITAMIN_PET_FINAL |
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This model is a fine-tuned version of [ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko](https://huggingface.co./ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0670 |
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- Rouge1: 5.1373 |
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- Rouge2: 3.2797 |
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- Rougel: 5.1561 |
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- Rougelsum: 5.1999 |
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- Gen Len: 100.0 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:-------:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 0.1753 | 1.0 | 5963 | 100.0 | 0.1586 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| 0.1066 | 2.0 | 11926 | 0.1091 | 0.2155 | 0.1961 | 0.2155 | 0.2305 | 100.0 | |
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| 0.0659 | 3.0 | 17889 | 0.0834 | 1.8169 | 1.2573 | 1.8423 | 1.8571 | 100.0 | |
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| 0.0417 | 4.0 | 23852 | 0.0712 | 2.9034 | 1.9182 | 2.9223 | 2.9168 | 100.0 | |
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| 0.0319 | 5.0 | 29815 | 0.0670 | 5.1373 | 3.2797 | 5.1561 | 5.1999 | 100.0 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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