metadata
license: apache-2.0
base_model: riotu-lab/ArabianGPT-03B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_yem_03
results: []
res_nw_yem_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: 0.3947
- Bleu: 0.4715
- Rouge1: 0.7229
- Rouge2: 0.4895
- Rougel: 0.7189
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 |
|---|---|---|---|---|---|---|---|
| 4.4383 | 1.0 | 153 | 0.7436 | 0.0155 | 0.4698 | 0.1921 | 0.4693 |
| 0.4733 | 2.0 | 306 | 0.3933 | 0.3967 | 0.5938 | 0.3154 | 0.5909 |
| 0.2714 | 3.0 | 459 | 0.3767 | 0.4279 | 0.6599 | 0.3971 | 0.6585 |
| 0.1837 | 4.0 | 612 | 0.3863 | 0.4380 | 0.6762 | 0.4184 | 0.6726 |
| 0.129 | 5.0 | 765 | 0.3835 | 0.4536 | 0.6994 | 0.4576 | 0.6968 |
| 0.0999 | 6.0 | 918 | 0.3938 | 0.4493 | 0.6979 | 0.4541 | 0.6936 |
| 0.0844 | 7.0 | 1071 | 0.3971 | 0.4623 | 0.7107 | 0.4766 | 0.7069 |
| 0.0741 | 8.0 | 1224 | 0.3947 | 0.4715 | 0.7229 | 0.4895 | 0.7189 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1