End of training
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README.md
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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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## Model description
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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:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size:
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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: 5
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### Training results
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### Framework versions
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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: 4.4131
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- Wer Score: 24.1207
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## Model description
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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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: 5
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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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| 6.6954 | 0.9474 | 9 | 6.1194 | 24.2241 |
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| 5.8759 | 1.8947 | 18 | 5.4065 | 24.1552 |
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| 5.2401 | 2.8421 | 27 | 4.8795 | 24.1379 |
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| 4.7997 | 3.7895 | 36 | 4.5462 | 24.1034 |
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| 4.5467 | 4.7368 | 45 | 4.4131 | 24.1207 |
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### Framework versions
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