metadata
license: apache-2.0
base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: arabert-large-algerian
results: []
arabert-large-algerian
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9673
- Accuracy: {'accuracy': 0.56}
- F1score: {'f1': 0.5573651188151455}
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- num_epochs: 2
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0.dev20230621+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2