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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: git-base-pokemon
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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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# 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
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