metadata
license: apache-2.0
base_model: riotu-lab/ArabianGPT-01B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_dj
results: []
res_nw_dj
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: 0.6246
- Bleu: 0.3877
- Rouge1: 0.5958
- Rouge2: 0.3370
- Rougel: 0.5935
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 |
|---|---|---|---|---|---|---|---|
| 1.2336 | 1.0 | 2679 | 0.7062 | 0.3526 | 0.5198 | 0.2547 | 0.5170 |
| 0.634 | 2.0 | 5358 | 0.6423 | 0.3756 | 0.5739 | 0.3114 | 0.5714 |
| 0.5299 | 3.0 | 8037 | 0.6246 | 0.3877 | 0.5958 | 0.3370 | 0.5935 |
| 0.4492 | 4.0 | 10716 | 0.6246 | 0.3905 | 0.6081 | 0.3526 | 0.6057 |
| 0.3829 | 5.0 | 13395 | 0.6300 | 0.3963 | 0.6145 | 0.3621 | 0.6125 |
| 0.328 | 6.0 | 16074 | 0.6384 | 0.3961 | 0.6213 | 0.3700 | 0.6194 |
| 0.2832 | 7.0 | 18753 | 0.6491 | 0.3999 | 0.6232 | 0.3741 | 0.6209 |
| 0.2453 | 8.0 | 21432 | 0.6607 | 0.3968 | 0.6232 | 0.3746 | 0.6212 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1