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--- |
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library_name: transformers |
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license: bsd-3-clause |
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base_model: Salesforce/blip-image-captioning-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: blip-finetuned-kag100 |
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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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# blip-finetuned-kag100 |
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This model is a fine-tuned version of [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8447 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 12 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.379 | 1.1130 | 50 | 1.3287 | |
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| 1.0477 | 2.2260 | 100 | 1.0919 | |
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| 0.8732 | 3.3390 | 150 | 0.9758 | |
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| 0.796 | 4.4520 | 200 | 0.9150 | |
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| 0.732 | 5.5650 | 250 | 0.9030 | |
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| 0.7011 | 6.6780 | 300 | 0.8376 | |
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| 0.6761 | 7.7910 | 350 | 0.8530 | |
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| 0.663 | 8.9040 | 400 | 0.8447 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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