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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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model-index: |
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- name: bert-base-multilingual-cased-2023-11-15-16-53 |
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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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# bert-base-multilingual-cased-2023-11-15-16-53 |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7909 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.411 | 0.59 | 500 | 1.2887 | |
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| 1.2513 | 1.19 | 1000 | 1.1391 | |
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| 1.1402 | 1.78 | 1500 | 1.0585 | |
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| 1.0788 | 2.38 | 2000 | 1.0004 | |
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| 1.019 | 2.97 | 2500 | 0.9653 | |
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| 0.9854 | 3.56 | 3000 | 0.9326 | |
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| 0.9523 | 4.16 | 3500 | 0.9079 | |
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| 0.9186 | 4.75 | 4000 | 0.8808 | |
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| 0.9174 | 5.34 | 4500 | 0.8652 | |
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| 0.8825 | 5.94 | 5000 | 0.8428 | |
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| 0.8668 | 6.53 | 5500 | 0.8274 | |
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| 0.8118 | 7.13 | 6000 | 0.8201 | |
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| 0.849 | 7.72 | 6500 | 0.8051 | |
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| 0.8478 | 8.31 | 7000 | 0.7989 | |
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| 0.8073 | 8.91 | 7500 | 0.7918 | |
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| 0.8365 | 9.5 | 8000 | 0.7845 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.7 |
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- Tokenizers 0.14.1 |
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