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--- |
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license: apache-2.0 |
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base_model: bert-base-multilingual-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: results |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# results |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0189 |
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- Accuracy: 0.9981 |
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- F1: 0.9981 |
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## 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: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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 | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 260 | 0.1823 | 0.9597 | 0.9601 | |
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| 0.1563 | 2.0 | 520 | 0.0255 | 0.9962 | 0.9962 | |
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| 0.1563 | 3.0 | 780 | 0.0359 | 0.9942 | 0.9943 | |
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| 0.0358 | 4.0 | 1040 | 0.0373 | 0.9942 | 0.9943 | |
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| 0.0358 | 5.0 | 1300 | 0.0135 | 0.9981 | 0.9981 | |
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| 0.0216 | 6.0 | 1560 | 0.0151 | 0.9981 | 0.9981 | |
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| 0.0216 | 7.0 | 1820 | 0.0177 | 0.9981 | 0.9981 | |
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| 0.0022 | 8.0 | 2080 | 0.0184 | 0.9981 | 0.9981 | |
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| 0.0022 | 9.0 | 2340 | 0.0187 | 0.9981 | 0.9981 | |
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| 0.0015 | 10.0 | 2600 | 0.0189 | 0.9981 | 0.9981 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Tokenizers 0.19.1 |
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