---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ConfliBERT-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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/naifalatrush/huggingface/runs/cpu78wli)
# ConfliBERT-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: 0.8783
- Accuracy: 0.7943

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.0.dev20231003+cu121
- Datasets 2.14.5
- Tokenizers 0.19.1