| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google-bert/bert-base-multilingual-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - precision |
| - recall |
| model-index: |
| - name: bert-base-multilingual-cased-orm |
| 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. --> |
|
|
| # bert-base-multilingual-cased-orm |
|
|
| This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1292 |
| - Accuracy: 0.8416 |
| - F1 Binary: 0.5498 |
| - Precision: 0.4515 |
| - Recall: 0.7030 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - 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: 51 |
| - num_epochs: 4 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Binary | Precision | Recall | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:---------:|:------:| |
| | No log | 1.0 | 259 | 0.1653 | 0.7433 | 0.4089 | 0.2993 | 0.6450 | |
| | 0.1075 | 2.0 | 518 | 0.1231 | 0.7939 | 0.4728 | 0.3649 | 0.6714 | |
| | 0.1075 | 3.0 | 777 | 0.1391 | 0.8638 | 0.5556 | 0.5043 | 0.6186 | |
| | 0.0496 | 4.0 | 1036 | 0.1292 | 0.8416 | 0.5498 | 0.4515 | 0.7030 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.47.0 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
| |
