| | --- |
| | license: apache-2.0 |
| | base_model: riotu-lab/ArabianGPT-01B |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - bleu |
| | - rouge |
| | model-index: |
| | - name: results_fixed |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # results_fixed |
| | |
| | This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.1411 |
| | - Bleu: 0.2987 |
| | - Rouge1: 0.5831 |
| | - Rouge2: 0.3405 |
| | - Rougel: 0.5413 |
| | |
| | ## 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: 3.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Bleu | Validation Loss | Rouge1 | Rouge2 | Rougel | |
| | |:-------------:|:------:|:----:|:------:|:---------------:|:------:|:------:|:------:| |
| | | 3.9816 | 1.0846 | 500 | 0.2270 | 2.8213 | 0.3851 | 0.1625 | 0.3198 | |
| | | 3.9816 | 2.0 | 922 | 0.2481 | 2.4793 | 0.4405 | 0.2030 | 0.3844 | |
| | | 2.6514 | 3.0 | 1383 | 0.2658 | 2.2931 | 0.4828 | 0.2385 | 0.4327 | |
| | | 2.3308 | 4.0 | 1844 | 0.2797 | 2.1801 | 0.5114 | 0.2679 | 0.4659 | |
| | | 2.1322 | 5.0 | 2305 | 0.2886 | 2.1133 | 0.5264 | 0.2867 | 0.4852 | |
| | | 1.9942 | 6.0 | 2766 | 0.2926 | 2.0649 | 0.5417 | 0.2993 | 0.5003 | |
| | | 1.8884 | 7.0 | 3227 | 0.2967 | 2.0354 | 0.5529 | 0.3108 | 0.5117 | |
| | | 1.8003 | 8.0 | 3688 | 0.2973 | 2.0164 | 0.5597 | 0.3199 | 0.5204 | |
| | | 1.7305 | 9.0 | 4149 | 0.3053 | 2.0036 | 0.5660 | 0.3262 | 0.5266 | |
| | | 1.6672 | 10.0 | 4610 | 0.3072 | 1.9933 | 0.5704 | 0.3319 | 0.5325 | |
| | | 1.6132 | 11.0 | 5071 | 0.3093 | 1.9886 | 0.5737 | 0.3366 | 0.5363 | |
| | | 1.5659 | 12.0 | 5532 | 0.3099 | 1.9834 | 0.5777 | 0.3397 | 0.5396 | |
| | | 1.5659 | 13.0 | 5993 | 0.3117 | 1.9819 | 0.5796 | 0.3423 | 0.5418 | |
| | | 1.5244 | 14.0 | 6454 | 0.3126 | 1.9798 | 0.5833 | 0.3452 | 0.5451 | |
| | | 1.4884 | 15.0 | 6915 | 0.3130 | 1.9793 | 0.5832 | 0.3461 | 0.5454 | |
| | | 1.4594 | 16.0 | 7376 | 0.3133 | 1.9800 | 0.5846 | 0.3469 | 0.5466 | |
| | | 1.4361 | 17.0 | 7837 | 0.3151 | 1.9799 | 0.5865 | 0.3493 | 0.5485 | |
| | | 1.4159 | 18.0 | 8298 | 0.3149 | 1.9809 | 0.5865 | 0.3495 | 0.5486 | |
| | | 1.4159 | 19.0 | 8398 | 0.3099 | 2.0767 | 0.5858 | 0.3476 | 0.5471 | |
| | | 1.6189 | 20.0 | 8840 | 0.3119 | 2.0654 | 0.5862 | 0.3489 | 0.5479 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.45.0.dev0 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.19.1 |
| |
|
