| --- |
| library_name: transformers |
| base_model: OMRIDRORI/mbert-tibetan-continual-unicode-240k |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: proximity_cs_model_with_test |
| 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. --> |
|
|
| # proximity_cs_model_with_test |
|
|
| 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: 0.3626 |
| - Accuracy: 0.9896 |
| - Proximity F1: 0.2190 |
| - Proximity Recall: 0.2370 |
| - Proximity Precision: 0.2504 |
| - Exact Matches: 0.6923 |
| - Missed Switches: 0.5385 |
| - False Switches: 2.4872 |
| - Matches At 1 Words: 0.0 |
| - Matches At 2 Words: 0.0 |
| - Matches At 3 Words: 0.0 |
| - Matches At 4 Words: 0.0 |
| - Matches At 5 Words: 0.0 |
| - 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: 3e-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: 500 |
| - num_epochs: 25 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | 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 | |
| |:-------------:|:-------:|:----:|:---------------:|:--------:|:------------:|:----------------:|:-------------------:|:-------------:|:---------------:|:--------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:-------------------:| |
| | 0.3554 | 7.6923 | 100 | 0.3063 | 0.9314 | 0.0892 | 0.3119 | 0.0543 | 1.0 | 0.0513 | 19.7179 | 0.0513 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0256 | 0.0 | 0.0 | 0.0256 | 0.0769 | |
| | 0.0729 | 15.3846 | 200 | 0.2531 | 0.9791 | 0.1595 | 0.2241 | 0.1791 | 0.6923 | 0.4872 | 5.5128 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0513 | 0.0 | |
| | 0.0156 | 23.0769 | 300 | 0.3626 | 0.9896 | 0.2190 | 0.2370 | 0.2504 | 0.6923 | 0.5385 | 2.4872 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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 3.1.0 |
| - Tokenizers 0.20.3 |
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|
