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--- |
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license: apache-2.0 |
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base_model: moussaKam/AraBART |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: resultsara_5epoch |
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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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# resultsara_5epoch |
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This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6393 |
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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: 16 |
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- eval_batch_size: 16 |
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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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- num_epochs: 8 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4457 | 0.1333 | 500 | 0.7199 | |
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| 0.8534 | 0.2667 | 1000 | 0.6676 | |
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| 0.9825 | 0.4 | 1500 | 0.6572 | |
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| 0.9602 | 0.5333 | 2000 | 0.6492 | |
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| 0.9685 | 0.6667 | 2500 | 0.6411 | |
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| 0.9596 | 0.8 | 3000 | 0.6374 | |
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| 0.9561 | 0.9333 | 3500 | 0.6312 | |
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| 0.8599 | 1.0667 | 4000 | 0.6394 | |
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| 0.7501 | 1.2 | 4500 | 0.6413 | |
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| 0.7739 | 1.3333 | 5000 | 0.6376 | |
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| 0.7791 | 1.4667 | 5500 | 0.6465 | |
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| 0.7911 | 1.6 | 6000 | 0.6414 | |
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| 0.7889 | 1.7333 | 6500 | 0.6393 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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