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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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model-index: |
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- name: 20231005-9-bert-base-multilingual-cased-new |
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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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# 20231005-9-bert-base-multilingual-cased-new |
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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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- Accuracy: 0.5930 |
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- Loss: 1.7283 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:----:|:--------:|:---------------:| |
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| 2.9365 | 1.82 | 200 | 0.3878 | 2.5398 | |
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| 2.3968 | 3.64 | 400 | 0.4564 | 2.3602 | |
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| 2.2177 | 5.45 | 600 | 0.5127 | 2.2161 | |
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| 2.1045 | 7.27 | 800 | 0.5242 | 2.2912 | |
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| 2.004 | 9.09 | 1000 | 0.5405 | 1.9708 | |
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| 1.8877 | 10.91 | 1200 | 0.5758 | 1.7440 | |
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| 1.7707 | 12.73 | 1400 | 0.6242 | 1.6567 | |
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| 1.7869 | 14.55 | 1600 | 0.6283 | 1.5502 | |
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| 1.7331 | 16.36 | 1800 | 0.5373 | 1.7845 | |
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| 1.686 | 18.18 | 2000 | 0.5938 | 1.6903 | |
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| 1.6699 | 20.0 | 2200 | 0.5930 | 1.7283 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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