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---
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
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
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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
### Training results
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.0.dev20220616
- Datasets 2.8.0
- Tokenizers 0.13.2
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