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--- |
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license: apache-2.0 |
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base_model: google-bert/bert-base-multilingual-uncased |
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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: bert-base-multilingual-uncased-thesis_arian |
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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-uncased-thesis_arian |
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1946 |
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- Accuracy: 0.9677 |
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- Macro f1 score: 0.9677 |
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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: 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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro f1 score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------:| |
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| 0.216 | 1.0 | 102 | 0.2649 | 0.9097 | 0.9094 | |
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| 0.1246 | 2.0 | 204 | 0.1364 | 0.9398 | 0.9398 | |
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| 0.0888 | 3.0 | 306 | 0.1634 | 0.9462 | 0.9462 | |
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| 0.0522 | 4.0 | 408 | 0.1550 | 0.9656 | 0.9656 | |
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| 0.0227 | 5.0 | 510 | 0.2073 | 0.9591 | 0.9591 | |
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| 0.0065 | 6.0 | 612 | 0.2140 | 0.9677 | 0.9677 | |
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| 0.0028 | 7.0 | 714 | 0.2005 | 0.9656 | 0.9656 | |
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| 0.0017 | 8.0 | 816 | 0.1946 | 0.9677 | 0.9677 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
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