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--- |
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license: apache-2.0 |
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base_model: riotu-lab/ArabianGPT-01B |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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- rouge |
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model-index: |
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- name: res_nw_dj |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# res_nw_dj |
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This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6266 |
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- Bleu: 0.2679 |
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- Rouge1: 0.5977 |
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- Rouge2: 0.3443 |
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- Rougel: 0.5959 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 20.0 |
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### Training results |
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| Training Loss | Epoch | Step | Bleu | Validation Loss | Rouge1 | Rouge2 | Rougel | |
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|:-------------:|:-----:|:-----:|:------:|:---------------:|:------:|:------:|:------:| |
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| 1.2513 | 1.0 | 2703 | 0.2201 | 0.7112 | 0.5172 | 0.2533 | 0.5148 | |
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| 0.6462 | 2.0 | 5406 | 0.2451 | 0.6569 | 0.5579 | 0.2974 | 0.5553 | |
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| 0.5673 | 3.0 | 8109 | 0.2518 | 0.6499 | 0.5702 | 0.3118 | 0.5677 | |
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| 0.556 | 4.0 | 10812 | 0.2598 | 0.6330 | 0.5829 | 0.3262 | 0.5807 | |
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| 0.4786 | 5.0 | 13515 | 0.2679 | 0.6266 | 0.5977 | 0.3443 | 0.5959 | |
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| 0.4123 | 6.0 | 16218 | 0.2707 | 0.6303 | 0.6044 | 0.3548 | 0.6027 | |
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| 0.3573 | 7.0 | 18921 | 0.2739 | 0.6372 | 0.6108 | 0.3631 | 0.6088 | |
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| 0.3108 | 8.0 | 21624 | 0.2760 | 0.6466 | 0.6130 | 0.3678 | 0.6112 | |
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| 0.2719 | 9.0 | 24327 | 0.2802 | 0.6551 | 0.6178 | 0.3727 | 0.6159 | |
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| 0.2396 | 10.0 | 27030 | 0.2770 | 0.6658 | 0.6173 | 0.3729 | 0.6153 | |
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| 0.2129 | 11.0 | 29733 | 0.6768 | 0.2784 | 0.6188 | 0.3762 | 0.6171 | |
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| 0.191 | 12.0 | 32436 | 0.6870 | 0.2780 | 0.6208 | 0.3781 | 0.6189 | |
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| 0.1733 | 13.0 | 35139 | 0.6967 | 0.2800 | 0.6214 | 0.3799 | 0.6195 | |
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| 0.1593 | 14.0 | 37842 | 0.7063 | 0.2790 | 0.6215 | 0.3799 | 0.6195 | |
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| 0.1478 | 15.0 | 40545 | 0.7139 | 0.2809 | 0.6216 | 0.3804 | 0.6197 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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