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--- |
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license: mit |
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base_model: microsoft/git-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: git-base-pokemon |
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results: [] |
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language: en |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0427 |
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- Wer Score: 1.6214 |
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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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| 7.2817 | 4.17 | 50 | 4.4600 | 19.8362 | |
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| 2.2912 | 8.33 | 100 | 0.4293 | 9.7913 | |
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| 0.1282 | 12.5 | 150 | 0.0391 | 0.3738 | |
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| 0.0156 | 16.67 | 200 | 0.0363 | 3.2961 | |
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| 0.0046 | 20.83 | 250 | 0.0396 | 1.9320 | |
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| 0.0022 | 25.0 | 300 | 0.0405 | 1.7464 | |
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| 0.0016 | 29.17 | 350 | 0.0414 | 1.9211 | |
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| 0.0013 | 33.33 | 400 | 0.0419 | 1.5837 | |
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| 0.0012 | 37.5 | 450 | 0.0424 | 1.7609 | |
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| 0.0011 | 41.67 | 500 | 0.0425 | 1.6614 | |
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| 0.001 | 45.83 | 550 | 0.0427 | 1.625 | |
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| 0.001 | 50.0 | 600 | 0.0427 | 1.6214 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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