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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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model-index:
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- name: image_caption_git-base_pokemon-blip-captions_finetune
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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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# image_caption_git-base_pokemon-blip-captions_finetune
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0352
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- Wer Score: 2.7913
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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: 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 Score |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|
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| 7.2035 | 4.17 | 50 | 4.4675 | 19.6556 |
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| 2.3254 | 8.33 | 100 | 0.4499 | 10.5941 |
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| 0.1373 | 12.5 | 150 | 0.0313 | 0.9117 |
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| 0.016 | 16.67 | 200 | 0.0285 | 3.4968 |
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| 0.005 | 20.83 | 250 | 0.0307 | 3.3585 |
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| 0.002 | 25.0 | 300 | 0.0328 | 3.2420 |
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| 0.0013 | 29.17 | 350 | 0.0341 | 3.1921 |
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| 0.0011 | 33.33 | 400 | 0.0342 | 2.8963 |
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| 0.0011 | 37.5 | 450 | 0.0347 | 2.8335 |
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| 0.001 | 41.67 | 500 | 0.0349 | 2.8003 |
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| 0.0009 | 45.83 | 550 | 0.0351 | 2.7823 |
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| 0.0009 | 50.0 | 600 | 0.0352 | 2.7913 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.0+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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