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monday
This model is a fine-tuned version of aubmindlab/bert-base-arabert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0124
- Accuracy: 1.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.2784 | 0.45 | 50 | 0.0560 | 0.97 |
0.1075 | 0.9 | 100 | 0.0334 | 0.98 |
0.0401 | 1.35 | 150 | 0.0636 | 0.98 |
0.048 | 1.8 | 200 | 0.0598 | 0.98 |
0.02 | 2.25 | 250 | 0.0108 | 0.99 |
0.0013 | 2.7 | 300 | 0.0124 | 1.0 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3