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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: mongolian-bert-base-multilingual-cased-demo
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results: []
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# mongolian-bert-base-multilingual-cased-demo
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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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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Framework versions
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- Transformers 4.29.2
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: mongolian-bert-base-multilingual-cased-demo
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results: []
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# mongolian-bert-base-multilingual-cased-demo
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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: 0.1375
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- Precision: 0.9051
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- Recall: 0.9203
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- F1: 0.9126
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- Accuracy: 0.9775
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## Model description
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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 | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.1747 | 1.0 | 477 | 0.1069 | 0.8431 | 0.8768 | 0.8596 | 0.9663 |
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| 0.0845 | 2.0 | 954 | 0.0870 | 0.8887 | 0.9001 | 0.8944 | 0.9748 |
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| 0.0591 | 3.0 | 1431 | 0.0987 | 0.8914 | 0.9059 | 0.8986 | 0.9730 |
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| 0.0388 | 4.0 | 1908 | 0.1065 | 0.8928 | 0.9093 | 0.9010 | 0.9733 |
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| 0.0278 | 5.0 | 2385 | 0.1173 | 0.8969 | 0.9150 | 0.9059 | 0.9760 |
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| 0.0196 | 6.0 | 2862 | 0.1215 | 0.9050 | 0.9169 | 0.9109 | 0.9765 |
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| 0.0142 | 7.0 | 3339 | 0.1229 | 0.9063 | 0.9183 | 0.9123 | 0.9771 |
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| 0.01 | 8.0 | 3816 | 0.1283 | 0.9017 | 0.9159 | 0.9087 | 0.9767 |
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| 0.0074 | 9.0 | 4293 | 0.1319 | 0.9066 | 0.9201 | 0.9133 | 0.9776 |
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| 0.0051 | 10.0 | 4770 | 0.1375 | 0.9051 | 0.9203 | 0.9126 | 0.9775 |
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### Framework versions
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- Transformers 4.29.2
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