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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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model-index: |
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- name: pkemon_cap_v0 |
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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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# pkemon_cap_v0 |
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.6491 |
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- Wer Score: 127.2727 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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: 3 |
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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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| 11.2497 | 0.17 | 2 | 10.0191 | 96.6364 | |
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| 9.9157 | 0.35 | 4 | 9.5544 | 111.1818 | |
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| 9.4907 | 0.52 | 6 | 9.1167 | 143.5909 | |
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| 9.0975 | 0.7 | 8 | 8.8422 | 154.5455 | |
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| 8.8568 | 0.87 | 10 | 8.6143 | 144.6364 | |
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| 8.6299 | 1.04 | 12 | 8.4336 | 118.7727 | |
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| 8.4659 | 1.22 | 14 | 8.2808 | 112.4091 | |
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| 8.3233 | 1.39 | 16 | 8.1538 | 124.3636 | |
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| 8.2213 | 1.57 | 18 | 8.0420 | 122.8636 | |
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| 8.0876 | 1.74 | 20 | 7.9463 | 124.5 | |
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| 7.9863 | 1.91 | 22 | 7.8647 | 153.9545 | |
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| 7.9169 | 2.09 | 24 | 7.7966 | 156.0 | |
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| 7.8652 | 2.26 | 26 | 7.7400 | 155.5455 | |
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| 7.8245 | 2.43 | 28 | 7.6962 | 142.0909 | |
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| 7.7512 | 2.61 | 30 | 7.6659 | 129.9545 | |
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| 7.7344 | 2.78 | 32 | 7.6491 | 127.2727 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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