Arabic_pos / README.md
AlaaHussien's picture
Training in progress epoch 4
02dfb17
---
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_keras_callback
model-index:
- name: AlaaHussien/Arabic_pos
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# AlaaHussien/Arabic_pos
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0778
- Validation Loss: 0.1042
- Train Precision: 0.9603
- Train Recall: 0.9565
- Train F1: 0.9584
- Train Accuracy: 0.9708
- Epoch: 4
## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1515, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 0.3938 | 0.1375 | 0.9506 | 0.9430 | 0.9468 | 0.9625 | 0 |
| 0.1234 | 0.1165 | 0.9559 | 0.9507 | 0.9533 | 0.9670 | 1 |
| 0.1002 | 0.1112 | 0.9591 | 0.9531 | 0.9561 | 0.9690 | 2 |
| 0.0865 | 0.1051 | 0.9598 | 0.9555 | 0.9576 | 0.9702 | 3 |
| 0.0778 | 0.1042 | 0.9603 | 0.9565 | 0.9584 | 0.9708 | 4 |
### Framework versions
- Transformers 4.51.1
- TensorFlow 2.18.0
- Datasets 3.5.0
- Tokenizers 0.21.0