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End of training

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README.md ADDED
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+ ---
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+ base_model: aubmindlab/bert-base-arabertv2
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - arcd
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+ model-index:
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+ - name: rinna-AraBert-qa-ar4
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+ results: []
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+ ---
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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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+
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+ # rinna-AraBert-qa-ar4
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+
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+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on the arcd dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 7.1639
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 7e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 32
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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: 100
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.3751 | 6.88 | 150 | 3.4763 |
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+ | 0.2526 | 13.75 | 300 | 4.7270 |
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+ | 0.1059 | 20.63 | 450 | 5.7927 |
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+ | 0.0604 | 27.51 | 600 | 5.6757 |
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+ | 0.0347 | 34.38 | 750 | 6.0637 |
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+ | 0.0163 | 41.26 | 900 | 6.3835 |
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+ | 0.0116 | 48.14 | 1050 | 6.7934 |
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+ | 0.0024 | 55.01 | 1200 | 6.8119 |
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+ | 0.0021 | 61.89 | 1350 | 6.9426 |
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+ | 0.0042 | 68.77 | 1500 | 6.8997 |
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+ | 0.0033 | 75.64 | 1650 | 6.8969 |
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+ | 0.0055 | 82.52 | 1800 | 7.0831 |
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+ | 0.0012 | 89.4 | 1950 | 7.0766 |
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+ | 0.0014 | 96.28 | 2100 | 7.1639 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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