| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: ConfliBERT-Arabic-multilingual-uncased |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # ConfliBERT-Arabic-multilingual-uncased |
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|
| This model is a fine-tuned version of [../models/bert-base-multilingual-uncased](https://huggingface.co/../models/bert-base-multilingual-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4586 |
| - Accuracy: 0.8897 |
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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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 944187 |
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| ### Training results |
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| ### Framework versions |
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| - Transformers 4.26.0 |
| - Pytorch 1.13.0.dev20220616 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.2 |
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