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base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 2levels_8753
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 2levels_8753
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8957
- Macro F1: 0.8037
- Macro Precision: 0.8110
- Macro Recall: 0.8056
- Accuracy: 0.8044
## 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: 64
- eval_batch_size: 16
- 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 | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
| No log | 1.0 | 137 | 0.4537 | 0.7923 | 0.8075 | 0.7957 | 0.7940 |
| No log | 2.0 | 274 | 0.4196 | 0.8096 | 0.8122 | 0.8104 | 0.8097 |
| No log | 3.0 | 411 | 0.5097 | 0.8020 | 0.8117 | 0.8043 | 0.8029 |
| 0.2839 | 4.0 | 548 | 0.6446 | 0.8023 | 0.8101 | 0.8043 | 0.8031 |
| 0.2839 | 5.0 | 685 | 0.8924 | 0.7857 | 0.8089 | 0.7906 | 0.7885 |
| 0.2839 | 6.0 | 822 | 0.8957 | 0.8037 | 0.8110 | 0.8056 | 0.8044 |
### Framework versions
- Transformers 4.43.4
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.19.1
|