| | --- |
| | license: apache-2.0 |
| | base_model: google-bert/bert-base-multilingual-cased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: m-bert |
| | 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. --> |
| |
|
| | # m-bert |
| |
|
| | This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3141 |
| | - Precison: 0.8543 |
| | - Recall: 0.8566 |
| | - F1: 0.8554 |
| | - Accuracy: 0.8594 |
| | - Jaccard: 0.7848 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Precison | Recall | F1 | Accuracy | Jaccard | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:--------:|:-------:| |
| | | 0.4088 | 1.0 | 1513 | 0.3141 | 0.8543 | 0.8566 | 0.8554 | 0.8594 | 0.7848 | |
| | | 0.3328 | 2.0 | 3026 | 0.3161 | 0.8685 | 0.8530 | 0.8587 | 0.8656 | 0.8018 | |
| | | 0.2521 | 3.0 | 4539 | 0.3444 | 0.8729 | 0.8700 | 0.8714 | 0.8758 | 0.8105 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.41.1 |
| | - Pytorch 2.1.2 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| |
|
