metadata
license: apache-2.0
base_model: Mohamedd123321/XLMR_Large_Arabizi_MLM
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Arabizi_Checkpoints-large
results: []
Arabizi_Checkpoints-large
This model is a fine-tuned version of Mohamedd123321/XLMR_Large_Arabizi_MLM on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5551
- Accuracy: 0.8976
- F1: 0.8979
- Precision: 0.8983
- Recall: 0.8976
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: 2e-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: 6
Training results
| Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2588 | 1.9841 | 10000 | 0.8947 | 0.8948 | 0.2934 | 0.8949 | 0.8947 |
| 0.1349 | 3.9683 | 20000 | 0.3518 | 0.8983 | 0.8981 | 0.8980 | 0.8983 |
| 0.0702 | 5.9524 | 30000 | 0.5551 | 0.8976 | 0.8979 | 0.8983 | 0.8976 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.8.0+cu129
- Datasets 5.0.0
- Tokenizers 0.19.1