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README.md
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This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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- seed: 42
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 | 63 | 0.
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| No log | 2.0 | 126 | 0.
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| No log | 3.0 | 189 |
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| No log | 4.0 | 252 |
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| No log | 5.0 | 315 |
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### Framework versions
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This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3237
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- Accuracy: 0.7982
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## Model description
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- seed: 42
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 63 | 0.8631 | 0.7523 |
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| No log | 2.0 | 126 | 0.7686 | 0.8257 |
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| No log | 3.0 | 189 | 1.2180 | 0.7431 |
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| No log | 4.0 | 252 | 1.1273 | 0.7982 |
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| No log | 5.0 | 315 | 1.2937 | 0.7706 |
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| No log | 6.0 | 378 | 1.3242 | 0.7890 |
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| No log | 7.0 | 441 | 1.3387 | 0.7982 |
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| 0.0916 | 8.0 | 504 | 1.2943 | 0.7706 |
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| 0.0916 | 9.0 | 567 | 1.3299 | 0.7982 |
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| 0.0916 | 10.0 | 630 | 1.3237 | 0.7982 |
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### Framework versions
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