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README.md
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 441.2851
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- eval_samples_per_second: 23.296
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- eval_steps_per_second: 2.912
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- epoch: 1.9
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- step: 22000
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.18.0
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.0006 | 1.0 | 11586 | 0.0000 |
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| 0.0003 | 2.0 | 23172 | 0.0000 |
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| 0.0 | 3.0 | 34806 | 0.0000 |
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### Framework versions
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- Transformers 4.18.0
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