| --- |
| library_name: transformers |
| base_model: OMRIDRORI/mbert-tibetan-continual-unicode-240k |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: tibetan-code-switching-detector |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # tibetan-code-switching-detector |
|
|
| This model is a fine-tuned version of [OMRIDRORI/mbert-tibetan-continual-unicode-240k](https://huggingface.co/OMRIDRORI/mbert-tibetan-continual-unicode-240k) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7828 |
| - Accuracy: 0.8124 |
| - Proximity F1: 0.0772 |
| - Proximity Recall: 0.2920 |
| - Proximity Precision: 0.0457 |
| - Exact Matches: 0.7963 |
| - Missed Switches: 0.0556 |
| - False Switches: 14.7685 |
| - Matches At 1 Words: 0.0093 |
| - Matches At 2 Words: 0.0 |
| - Matches At 3 Words: 0.0 |
| - Matches At 4 Words: 0.0 |
| - Matches At 5 Words: 0.0093 |
| - Matches At 6 Words: 0.0 |
| - Matches At 7 Words: 0.0 |
| - Matches At 8 Words: 0.0 |
| - Matches At 9 Words: 0.0 |
| - Matches At 10 Words: 0.0 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1000 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
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| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Proximity F1 | Proximity Recall | Proximity Precision | Exact Matches | Missed Switches | False Switches | Matches At 1 Words | Matches At 2 Words | Matches At 3 Words | Matches At 4 Words | Matches At 5 Words | Matches At 6 Words | Matches At 7 Words | Matches At 8 Words | Matches At 9 Words | Matches At 10 Words | |
| |:-------------:|:------:|:----:|:---------------:|:--------:|:------------:|:----------------:|:-------------------:|:-------------:|:---------------:|:--------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:-------------------:| |
| | 1.4889 | 4.5977 | 200 | 0.9309 | 0.8405 | 0.1133 | 0.1649 | 0.0959 | 0.3981 | 0.3611 | 4.5741 | 0.0093 | 0.0 | 0.0 | 0.0093 | 0.0185 | 0.0185 | 0.0 | 0.0 | 0.0556 | 0.0 | |
| | 0.8272 | 9.1954 | 400 | 0.7828 | 0.8124 | 0.0772 | 0.2920 | 0.0457 | 0.7963 | 0.0556 | 14.7685 | 0.0093 | 0.0 | 0.0 | 0.0 | 0.0093 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| ### Framework versions |
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| - Transformers 4.46.3 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 2.0.0 |
| - Tokenizers 0.20.3 |
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|
