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update model card README.md
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README.md
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# finetuned-xlm-r-masakhaner-swa-whole-word-phonetic
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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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 |
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| No log | 1.0 | 84 | 8.
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### Framework versions
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# finetuned-xlm-r-masakhaner-swa-whole-word-phonetic
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8.1903
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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 |
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| No log | 1.0 | 84 | 8.4449 |
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| No log | 2.0 | 168 | 8.2529 |
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| No log | 3.0 | 252 | 8.0750 |
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| No log | 4.0 | 336 | 8.1452 |
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| No log | 5.0 | 420 | 8.1334 |
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| 8.2835 | 6.0 | 504 | 8.1795 |
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| 8.2835 | 7.0 | 588 | 8.3774 |
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| 8.2835 | 8.0 | 672 | 8.2166 |
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| 8.2835 | 9.0 | 756 | 8.1744 |
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| 8.2835 | 10.0 | 840 | 8.1903 |
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### Framework versions
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