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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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- image-to-text |
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datasets: |
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- imagefolder |
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model-index: |
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- name: git-base-pokemon |
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results: [] |
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pipeline_tag: image-to-text |
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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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# git-base-pokemon |
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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: 0.0350 |
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- Wer Score: 2.2148 |
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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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| 7.3616 | 4.17 | 50 | 4.5895 | 21.4258 | |
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| 2.4353 | 8.33 | 100 | 0.4961 | 9.9322 | |
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| 0.1527 | 12.5 | 150 | 0.0303 | 1.3197 | |
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| 0.0192 | 16.67 | 200 | 0.0260 | 1.3299 | |
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| 0.007 | 20.83 | 250 | 0.0297 | 2.2059 | |
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| 0.0027 | 25.0 | 300 | 0.0321 | 2.4795 | |
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| 0.0017 | 29.17 | 350 | 0.0334 | 2.4488 | |
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| 0.0014 | 33.33 | 400 | 0.0340 | 2.1355 | |
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| 0.0013 | 37.5 | 450 | 0.0345 | 2.3619 | |
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| 0.0012 | 41.67 | 500 | 0.0349 | 2.2084 | |
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| 0.0011 | 45.83 | 550 | 0.0350 | 2.1803 | |
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| 0.0011 | 50.0 | 600 | 0.0350 | 2.2148 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
