---
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: 1.9281
- Accuracy: 0.6272
- F1: 0.6272
- Precision: 0.6272
- Recall: 0.6272

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.1788        | 1.0   | 568  | 1.0292          | 0.5625   | 0.5625 | 0.5625    | 0.5625 |
| 0.9947        | 2.0   | 1136 | 0.9846          | 0.5691   | 0.5691 | 0.5691    | 0.5691 |
| 0.8545        | 3.0   | 1704 | 1.0733          | 0.5802   | 0.5802 | 0.5802    | 0.5802 |
| 0.7233        | 4.0   | 2272 | 1.0215          | 0.6090   | 0.6090 | 0.6090    | 0.6090 |
| 0.6035        | 5.0   | 2840 | 0.9992          | 0.6348   | 0.6348 | 0.6348    | 0.6348 |
| 0.4944        | 6.0   | 3408 | 1.1378          | 0.6179   | 0.6179 | 0.6179    | 0.6179 |
| 0.3977        | 7.0   | 3976 | 1.2612          | 0.6188   | 0.6188 | 0.6188    | 0.6188 |
| 0.3079        | 8.0   | 4544 | 1.2490          | 0.6365   | 0.6365 | 0.6365    | 0.6365 |
| 0.2381        | 9.0   | 5112 | 1.5318          | 0.6139   | 0.6139 | 0.6139    | 0.6139 |
| 0.1924        | 10.0  | 5680 | 1.6346          | 0.6268   | 0.6268 | 0.6268    | 0.6268 |
| 0.1446        | 11.0  | 6248 | 1.7044          | 0.6303   | 0.6303 | 0.6303    | 0.6303 |
| 0.1195        | 12.0  | 6816 | 1.8142          | 0.625    | 0.625  | 0.625     | 0.625  |
| 0.0909        | 13.0  | 7384 | 1.9281          | 0.6272   | 0.6272 | 0.6272    | 0.6272 |


### Framework versions

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