End of training

README.md

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+---
+base_model: aubmindlab/araelectra-base-discriminator
+tags:
+- generated_from_trainer
+datasets:
+- arcd
+model-index:
+- name: rinna-arabert22-qa-ar2
+  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-arabert22-qa-ar2
+
+This model is a fine-tuned version of [aubmindlab/araelectra-base-discriminator](https://huggingface.co/aubmindlab/araelectra-base-discriminator) on the arcd dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.9506
+
+## 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: 0.001
+- 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: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.412         | 6.92  | 150  | 5.9506          |
+| 5.9523        | 13.83 | 300  | 5.9506          |
+| 5.9551        | 20.75 | 450  | 5.9506          |
+| 5.952         | 27.67 | 600  | 5.9506          |
+| 5.9518        | 34.58 | 750  | 5.9506          |
+| 5.9501        | 41.5  | 900  | 5.9506          |
+| 5.9526        | 48.41 | 1050 | 5.9506          |
+| 5.9538        | 55.33 | 1200 | 5.9506          |
+| 5.9517        | 62.25 | 1350 | 5.9506          |
+| 5.9529        | 69.16 | 1500 | 5.9506          |
+| 5.9518        | 76.08 | 1650 | 5.9506          |
+| 5.9532        | 83.0  | 1800 | 5.9506          |
+| 5.9518        | 89.91 | 1950 | 5.9506          |
+| 5.9515        | 96.83 | 2100 | 5.9506          |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

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