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End of training

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README.md ADDED
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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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+
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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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+
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+ # blip_finetuned_fashion
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 30522,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.38.2"
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+ }
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