---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
base_model: CAMeL-Lab/bert-base-arabic-camelbert-msa
model-index:
- name: POEMS-CAMELBERT-MSA-RUN1
  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-MSA-RUN1

This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-msa](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3027
- Accuracy: 0.6095
- F1: 0.6095
- Precision: 0.6095
- Recall: 0.6095

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.1666        | 1.0   | 472  | 1.0300          | 0.5616   | 0.5616 | 0.5616    | 0.5616 |
| 0.9373        | 2.0   | 944  | 0.9775          | 0.5909   | 0.5909 | 0.5909    | 0.5909 |
| 0.6934        | 3.0   | 1416 | 1.0062          | 0.6028   | 0.6028 | 0.6028    | 0.6028 |
| 0.4482        | 4.0   | 1888 | 1.1210          | 0.6157   | 0.6157 | 0.6157    | 0.6157 |
| 0.2653        | 5.0   | 2360 | 1.3027          | 0.6095   | 0.6095 | 0.6095    | 0.6095 |


### Framework versions

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