metadata
license: apache-2.0
base_model: riotu-lab/ArabianGPT-01B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: results
results: []
results
This model is a fine-tuned version of riotu-lab/ArabianGPT-01B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6229
- Bleu: 0.1607
- Rouge1: 0.4264
- Rouge2: 0.1631
- Rougel: 0.3675
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel |
|---|---|---|---|---|---|---|---|
| 3.359 | 1.5674 | 500 | 3.1283 | 0.1142 | 0.3298 | 0.0843 | 0.2561 |
| 2.9208 | 3.1348 | 1000 | 2.7298 | 0.1491 | 0.4041 | 0.1430 | 0.3408 |
| 2.619 | 4.7022 | 1500 | 2.6229 | 0.1607 | 0.4264 | 0.1631 | 0.3675 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1