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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: Improved-bert-multilingual |
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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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# Improved-bert-multilingual |
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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: 1.0118 |
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- Accuracy: 0.78 |
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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: 1e-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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.6856 | 0.55 | 50 | 0.6607 | 0.61 | |
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| 0.5729 | 1.1 | 100 | 0.5453 | 0.73 | |
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| 0.4649 | 1.65 | 150 | 0.5915 | 0.66 | |
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| 0.385 | 2.2 | 200 | 0.5824 | 0.7 | |
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| 0.343 | 2.75 | 250 | 0.4548 | 0.79 | |
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| 0.305 | 3.3 | 300 | 0.6585 | 0.71 | |
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| 0.2355 | 3.85 | 350 | 0.6034 | 0.77 | |
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| 0.2176 | 4.4 | 400 | 0.5191 | 0.79 | |
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| 0.2137 | 4.95 | 450 | 0.6655 | 0.73 | |
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| 0.181 | 5.49 | 500 | 0.6929 | 0.78 | |
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| 0.171 | 6.04 | 550 | 1.0172 | 0.65 | |
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| 0.1267 | 6.59 | 600 | 0.9904 | 0.67 | |
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| 0.1152 | 7.14 | 650 | 1.0817 | 0.65 | |
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| 0.1045 | 7.69 | 700 | 1.1231 | 0.66 | |
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| 0.0973 | 8.24 | 750 | 1.0118 | 0.78 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.7 |
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- Tokenizers 0.14.1 |
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