metadata
license: apache-2.0
base_model: google-bert/bert-base-multilingual-uncased
tags:
- generated_from_trainer
model-index:
- name: Arabic-Book-Review-Sentiment-Assessment
results: []
Arabic-Book-Review-Sentiment-Assessment
This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5290
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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0459 | 1.0 | 1470 | 1.5290 |
| 0.7622 | 2.0 | 2940 | 1.6278 |
| 0.8204 | 3.0 | 4410 | 1.5341 |
| 0.6592 | 4.0 | 5880 | 1.8030 |
| 0.4976 | 5.0 | 7350 | 1.9638 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2