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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_Captioning |
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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_Captioning |
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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: 0.0001 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: 1000 |
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- num_epochs: 5 |
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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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| 0.0023 | 0.9634 | 1500 | 0.0006 | |
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| 0.0012 | 1.9268 | 3000 | 0.0014 | |
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| 0.0007 | 2.8902 | 4500 | 0.0005 | |
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| 0.0006 | 3.8536 | 6000 | 0.0001 | |
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| 0.0002 | 4.8170 | 7500 | 0.0001 | |
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### Framework versions |
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- Transformers 4.55.4 |
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- Pytorch 2.5.1+cu121 |
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- Tokenizers 0.21.4 |
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