---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ConfliBERT-Arabic-multilingual-uncased
  results: []
---

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# 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