metadata
license: apache-2.0
base_model: riotu-lab/ArabianGPT-03B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_eg_03
results: []
res_nw_eg_03
This model is a fine-tuned version of riotu-lab/ArabianGPT-03B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7603
- Bleu: 0.3632
- Rouge1: 0.6403
- Rouge2: 0.3829
- Rougel: 0.6368
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: 20.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel |
|---|---|---|---|---|---|---|---|
| 0.874 | 1.0 | 7105 | 0.7882 | 0.3433 | 0.6159 | 0.3508 | 0.6121 |
| 0.5689 | 2.0 | 14210 | 0.7603 | 0.3632 | 0.6403 | 0.3829 | 0.6368 |
| 0.4369 | 3.0 | 21315 | 0.7771 | 0.3661 | 0.6205 | 0.2873 | 0.6174 |
| 0.3314 | 4.0 | 28420 | 0.8176 | 0.3657 | 0.6468 | 0.3919 | 0.6436 |
| 0.2518 | 5.0 | 35525 | 0.8584 | 0.3620 | 0.6466 | 0.3916 | 0.6434 |
| 0.1991 | 6.0 | 42630 | 0.9106 | 0.3616 | 0.6428 | 0.3880 | 0.6396 |
| 0.1678 | 7.0 | 49735 | 0.9511 | 0.3620 | 0.6421 | 0.3875 | 0.6388 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1