metadata
base_model: Yousefmd/arabert-sentiment-classification
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: feedback-classification
results: []
feedback-classification
This model is a fine-tuned version of Yousefmd/arabert-sentiment-classification on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5129
- Macro F1: 0.8172
- Accuracy: 0.8340
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
|---|---|---|---|---|---|
| 0.532 | 1.0 | 1238 | 0.4517 | 0.8098 | 0.8279 |
| 0.3349 | 2.0 | 2476 | 0.5129 | 0.8172 | 0.8340 |
Framework versions
- Transformers 4.33.3
- Pytorch 1.12.0
- Datasets 2.14.5
- Tokenizers 0.13.3