metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: omarxadel/hubert-large-arabic-egyptian
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hubert_mosa
results: []
hubert_mosa
This model is a fine-tuned version of omarxadel/hubert-large-arabic-egyptian on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7918
- Accuracy: 0.6304
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use 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: 0.2
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 104 | 1.0925 | 0.3207 |
| No log | 2.0 | 208 | 0.8980 | 0.5652 |
| No log | 3.0 | 312 | 0.8091 | 0.6196 |
| No log | 4.0 | 416 | 0.7918 | 0.6304 |
| 0.9267 | 4.9565 | 515 | 0.7845 | 0.625 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1
- Datasets 3.1.1.dev0
- Tokenizers 0.20.3