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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca
model-index:
- name: POEMS-CAMELBERT-CA-RUN4-20-fullDatafreez
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. -->
# POEMS-CAMELBERT-CA-RUN4-20-fullDatafreez
This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-ca](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2919
- Accuracy: 0.7047
- F1: 0.7047
- Precision: 0.7047
- Recall: 0.7047
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 13
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.1886 | 1.0 | 695 | 1.0872 | 0.5447 | 0.5447 | 0.5447 | 0.5447 |
| 1.0357 | 2.0 | 1390 | 1.0129 | 0.5831 | 0.5831 | 0.5831 | 0.5831 |
| 0.9067 | 3.0 | 2085 | 1.0089 | 0.5954 | 0.5954 | 0.5954 | 0.5954 |
| 0.7858 | 4.0 | 2780 | 0.9204 | 0.6453 | 0.6453 | 0.6453 | 0.6453 |
| 0.6709 | 5.0 | 3475 | 0.9971 | 0.6442 | 0.6442 | 0.6442 | 0.6442 |
| 0.582 | 6.0 | 4170 | 0.9662 | 0.6739 | 0.6739 | 0.6739 | 0.6739 |
| 0.5098 | 7.0 | 4865 | 1.0057 | 0.6855 | 0.6855 | 0.6855 | 0.6855 |
| 0.4498 | 8.0 | 5560 | 1.1139 | 0.6851 | 0.6851 | 0.6851 | 0.6851 |
| 0.4037 | 9.0 | 6255 | 1.1494 | 0.6862 | 0.6862 | 0.6862 | 0.6862 |
| 0.3609 | 10.0 | 6950 | 1.1697 | 0.6996 | 0.6996 | 0.6996 | 0.6996 |
| 0.3328 | 11.0 | 7645 | 1.2636 | 0.6967 | 0.6967 | 0.6967 | 0.6967 |
| 0.3092 | 12.0 | 8340 | 1.2772 | 0.6956 | 0.6956 | 0.6956 | 0.6956 |
| 0.2943 | 13.0 | 9035 | 1.2919 | 0.7047 | 0.7047 | 0.7047 | 0.7047 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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