metadata
license: apache-2.0
base_model: moussaKam/AraBART
tags:
- generated_from_trainer
model-index:
- name: resultsara_5epoch
results: []
resultsara_5epoch
This model is a fine-tuned version of moussaKam/AraBART on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6393
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4457 | 0.1333 | 500 | 0.7199 |
| 0.8534 | 0.2667 | 1000 | 0.6676 |
| 0.9825 | 0.4 | 1500 | 0.6572 |
| 0.9602 | 0.5333 | 2000 | 0.6492 |
| 0.9685 | 0.6667 | 2500 | 0.6411 |
| 0.9596 | 0.8 | 3000 | 0.6374 |
| 0.9561 | 0.9333 | 3500 | 0.6312 |
| 0.8599 | 1.0667 | 4000 | 0.6394 |
| 0.7501 | 1.2 | 4500 | 0.6413 |
| 0.7739 | 1.3333 | 5000 | 0.6376 |
| 0.7791 | 1.4667 | 5500 | 0.6465 |
| 0.7911 | 1.6 | 6000 | 0.6414 |
| 0.7889 | 1.7333 | 6500 | 0.6393 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1