End of training

README.md

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+---
+base_model: aubmindlab/bert-base-arabertv2
+tags:
+- generated_from_trainer
+datasets:
+- arcd
+model-index:
+- name: rinna-AraBert-qa-ar3
+  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. -->
+
+# rinna-AraBert-qa-ar3
+
+This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on the arcd dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.7678
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.0074        | 6.88  | 150  | 3.1727          |
+| 1.3286        | 13.75 | 300  | 3.2007          |
+| 0.7605        | 20.63 | 450  | 3.5414          |
+| 0.5722        | 27.51 | 600  | 3.7678          |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

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