---
library_name: transformers
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: darija_test7
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# darija_test7

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0469
- Accuracy: 0.9928

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 280  | 0.1351          | 0.9785   |
| 0.1661        | 2.0   | 560  | 0.1055          | 0.9839   |
| 0.1661        | 3.0   | 840  | 0.1071          | 0.9857   |
| 0.009         | 4.0   | 1120 | 0.0469          | 0.9928   |
| 0.009         | 5.0   | 1400 | 0.0867          | 0.9875   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1