metadata
license: apache-2.0
base_model: CAMeL-Lab/bert-base-arabic-camelbert-mix
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-bert-base-arabic-camelbert-mix
results: []
fine-tuned-bert-base-arabic-camelbert-mix
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-mix on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0107 | 1.0 | 2000 | 0.0011 |
| 0.0023 | 2.0 | 4000 | 0.0002 |
| 0.001 | 3.0 | 6000 | 0.0002 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2