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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [AfnanTS/ARBERTv2_EntityLinking](https://huggingface.co/AfnanTS/ARBERTv2_EntityLinking) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6434 |
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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: 2e-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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.7546 | 0.1 | 100 | 1.0176 | |
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| 0.7851 | 0.21 | 200 | 0.9869 | |
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| 0.7382 | 0.31 | 300 | 0.9651 | |
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| 0.7615 | 0.41 | 400 | 0.9340 | |
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| 0.8167 | 0.51 | 500 | 0.8955 | |
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| 0.7621 | 0.62 | 600 | 0.8642 | |
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| 0.8508 | 0.72 | 700 | 0.8372 | |
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| 0.838 | 0.82 | 800 | 0.8090 | |
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| 0.7961 | 0.92 | 900 | 0.7915 | |
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| 0.749 | 1.03 | 1000 | 0.7682 | |
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| 0.5584 | 1.13 | 1100 | 0.7613 | |
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| 0.5282 | 1.23 | 1200 | 0.7449 | |
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| 0.5195 | 1.33 | 1300 | 0.7373 | |
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| 0.4969 | 1.44 | 1400 | 0.7220 | |
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| 0.4977 | 1.54 | 1500 | 0.7113 | |
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| 0.4825 | 1.64 | 1600 | 0.6992 | |
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| 0.4938 | 1.74 | 1700 | 0.6922 | |
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| 0.4672 | 1.85 | 1800 | 0.6875 | |
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| 0.4545 | 1.95 | 1900 | 0.6831 | |
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| 0.4034 | 2.05 | 2000 | 0.6712 | |
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| 0.3963 | 2.15 | 2100 | 0.6661 | |
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| 0.4115 | 2.26 | 2200 | 0.6635 | |
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| 0.3953 | 2.36 | 2300 | 0.6593 | |
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| 0.3648 | 2.46 | 2400 | 0.6561 | |
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| 0.3987 | 2.56 | 2500 | 0.6509 | |
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| 0.3677 | 2.67 | 2600 | 0.6489 | |
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| 0.3741 | 2.77 | 2700 | 0.6480 | |
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| 0.3355 | 2.87 | 2800 | 0.6445 | |
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| 0.3603 | 2.97 | 2900 | 0.6434 | |
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### Framework versions |
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- Transformers 4.27.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.13.3 |
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