---
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
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# 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: 2.7801
- Accuracy: 0.6392
- F1: 0.6392
- Precision: 0.6392
- Recall: 0.6392

## 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.1829        | 1.0   | 568   | 1.0365          | 0.5576   | 0.5576 | 0.5576    | 0.5576 |
| 1.0039        | 2.0   | 1136  | 0.9696          | 0.5895   | 0.5895 | 0.5895    | 0.5895 |
| 0.8669        | 3.0   | 1704  | 1.0291          | 0.5838   | 0.5838 | 0.5838    | 0.5838 |
| 0.7361        | 4.0   | 2272  | 1.0234          | 0.6024   | 0.6024 | 0.6024    | 0.6024 |
| 0.6082        | 5.0   | 2840  | 1.0185          | 0.6219   | 0.6219 | 0.6219    | 0.6219 |
| 0.4956        | 6.0   | 3408  | 1.1033          | 0.6219   | 0.6219 | 0.6219    | 0.6219 |
| 0.3904        | 7.0   | 3976  | 1.2671          | 0.6055   | 0.6055 | 0.6055    | 0.6055 |
| 0.3101        | 8.0   | 4544  | 1.3479          | 0.6228   | 0.6228 | 0.6228    | 0.6228 |
| 0.2398        | 9.0   | 5112  | 1.5939          | 0.6175   | 0.6175 | 0.6175    | 0.6175 |
| 0.1912        | 10.0  | 5680  | 1.6243          | 0.6188   | 0.6188 | 0.6188    | 0.6188 |
| 0.1523        | 11.0  | 6248  | 1.6882          | 0.6321   | 0.6321 | 0.6321    | 0.6321 |
| 0.1244        | 12.0  | 6816  | 1.7997          | 0.6405   | 0.6405 | 0.6405    | 0.6405 |
| 0.0994        | 13.0  | 7384  | 2.0695          | 0.6472   | 0.6472 | 0.6472    | 0.6472 |
| 0.0931        | 14.0  | 7952  | 2.2890          | 0.6356   | 0.6356 | 0.6356    | 0.6356 |
| 0.0739        | 15.0  | 8520  | 2.4964          | 0.6170   | 0.6170 | 0.6170    | 0.6170 |
| 0.0643        | 16.0  | 9088  | 2.5723          | 0.6387   | 0.6387 | 0.6387    | 0.6387 |
| 0.0523        | 17.0  | 9656  | 2.5685          | 0.6410   | 0.6410 | 0.6410    | 0.6410 |
| 0.0365        | 18.0  | 10224 | 2.6118          | 0.6374   | 0.6374 | 0.6374    | 0.6374 |
| 0.0372        | 19.0  | 10792 | 2.8254          | 0.6352   | 0.6352 | 0.6352    | 0.6352 |
| 0.0301        | 20.0  | 11360 | 2.7801          | 0.6392   | 0.6392 | 0.6392    | 0.6392 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2