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library_name: transformers
license: apache-2.0
base_model: CAMeL-Lab/bert-base-arabic-camelbert-mix
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: arabertv2-sentiment
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. -->
# Fully-Supervised-Sentiment-Model
This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-mix) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4552
- Accuracy: 0.8825
- Precision: 0.8864
- Recall: 0.8825
- F1: 0.8840
## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 1234
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.2713 | 1.0 | 38 | 0.4964 | 0.8075 | 0.8601 | 0.8075 | 0.8181 |
| 0.1571 | 2.0 | 76 | 0.3297 | 0.865 | 0.8904 | 0.865 | 0.8699 |
| 0.1626 | 3.0 | 114 | 0.3481 | 0.885 | 0.8984 | 0.885 | 0.8883 |
| 0.0892 | 4.0 | 152 | 0.5528 | 0.8825 | 0.8799 | 0.8825 | 0.8801 |
| 0.0119 | 5.0 | 190 | 0.4552 | 0.8825 | 0.8864 | 0.8825 | 0.8840 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.1.1+cu121
- Datasets 3.3.2
- Tokenizers 0.21.1
|