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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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metrics: |
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- wer |
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model-index: |
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- name: blip-image-captioning-base-blip2 |
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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-image-captioning-base-blip2 |
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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: 0.4501 |
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- Wer: 0.8353 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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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- num_epochs: 50 |
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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 | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 1.1988 | 1.576 | 50 | 0.3600 | 0.8457 | |
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| 0.2346 | 3.128 | 100 | 0.3105 | 0.8388 | |
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| 0.1382 | 4.704 | 150 | 0.3111 | 0.8431 | |
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| 0.0779 | 6.256 | 200 | 0.3312 | 0.8388 | |
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| 0.0429 | 7.832 | 250 | 0.3430 | 0.8397 | |
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| 0.0248 | 9.384 | 300 | 0.3507 | 0.8448 | |
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| 0.0169 | 10.96 | 350 | 0.3602 | 0.8267 | |
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| 0.0113 | 12.512 | 400 | 0.3684 | 0.8448 | |
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| 0.0087 | 14.064 | 450 | 0.3737 | 0.8414 | |
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| 0.0059 | 15.64 | 500 | 0.3814 | 0.8422 | |
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| 0.0049 | 17.192 | 550 | 0.3762 | 0.8284 | |
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| 0.0036 | 18.768 | 600 | 0.3785 | 0.8388 | |
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| 0.0026 | 20.32 | 650 | 0.3805 | 0.8422 | |
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| 0.0023 | 21.896 | 700 | 0.3892 | 0.8414 | |
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| 0.0019 | 23.448 | 750 | 0.3901 | 0.8414 | |
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| 0.0016 | 25.0 | 800 | 0.3903 | 0.8371 | |
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| 0.0012 | 26.576 | 850 | 0.3999 | 0.8431 | |
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| 0.0009 | 28.128 | 900 | 0.4078 | 0.8457 | |
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| 0.0008 | 29.704 | 950 | 0.4049 | 0.8414 | |
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| 0.0008 | 31.256 | 1000 | 0.4063 | 0.8345 | |
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| 0.0005 | 32.832 | 1050 | 0.4133 | 0.8362 | |
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| 0.0004 | 34.384 | 1100 | 0.4173 | 0.8353 | |
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| 0.0003 | 35.96 | 1150 | 0.4238 | 0.8405 | |
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| 0.0003 | 37.512 | 1200 | 0.4254 | 0.8388 | |
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| 0.0002 | 39.064 | 1250 | 0.4263 | 0.8293 | |
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| 0.0001 | 40.64 | 1300 | 0.4326 | 0.8293 | |
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| 0.0001 | 42.192 | 1350 | 0.4376 | 0.8371 | |
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| 0.0001 | 43.768 | 1400 | 0.4391 | 0.8302 | |
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| 0.0 | 45.32 | 1450 | 0.4450 | 0.8388 | |
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| 0.0001 | 46.896 | 1500 | 0.4464 | 0.8328 | |
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| 0.0 | 48.448 | 1550 | 0.4488 | 0.8353 | |
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| 0.0 | 50.0 | 1600 | 0.4501 | 0.8353 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.2 |
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