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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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- pokemon-git-captions |
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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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--- |
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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: 1.3390 |
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- Wer Score: 11.7677 |
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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: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 256 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Score | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:| |
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| 7.2428 | 16.67 | 50 | 4.9155 | 21.2828 | |
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| 3.5043 | 33.33 | 100 | 2.1489 | 17.5884 | |
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| 1.7042 | 50.0 | 150 | 1.3390 | 11.7677 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.1.0a0+29c30b1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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