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--- |
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license: bsd-3-clause |
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base_model: Salesforce/blip-vqa-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_fashion |
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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_fashion |
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This model is a fine-tuned version of [Salesforce/blip-vqa-base](https://huggingface.co/Salesforce/blip-vqa-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0916 |
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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: 4 |
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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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| 9.4382 | 1.0 | 28 | 8.7410 | |
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| 5.7906 | 2.0 | 56 | 4.4909 | |
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| 2.6817 | 3.0 | 84 | 1.9184 | |
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| 0.6839 | 4.0 | 112 | 0.4660 | |
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| 0.1304 | 5.0 | 140 | 0.1403 | |
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| 0.0621 | 6.0 | 168 | 0.1171 | |
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| 0.0322 | 7.0 | 196 | 0.0961 | |
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| 0.0178 | 8.0 | 224 | 0.0963 | |
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| 0.0119 | 9.0 | 252 | 0.0918 | |
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| 0.0088 | 10.0 | 280 | 0.0916 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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