metadata
base_model: aubmindlab/bert-base-arabertv2
tags:
- generated_from_trainer
model-index:
- name: arabert-large-finetuned-sentiment-analysis
results: []
arabert-large-finetuned-sentiment-analysis
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7905
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: 0.0002
- 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
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9166 | 0.0 | 2 | 0.6761 |
| 0.628 | 0.01 | 4 | 0.6767 |
| 0.6367 | 0.01 | 6 | 0.6816 |
| 0.6504 | 0.02 | 8 | 0.7792 |
| 0.6936 | 0.02 | 10 | 0.7905 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2