End of training

README.md

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+---
+license: mit
+base_model: timpal0l/mdeberta-v3-base-squad2
+tags:
+- generated_from_trainer
+datasets:
+- persian_qa
+model-index:
+- name: qa-persian-mdeberta-v3-base-squad2
+  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. -->
+
+# qa-persian-mdeberta-v3-base-squad2
+
+This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) on the persian_qa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2935
+
+## 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: 1e-05
+- train_batch_size: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5628        | 1.0   | 927  | 1.1236          |
+| 1.1517        | 2.0   | 1854 | 1.1261          |
+| 0.9862        | 3.0   | 2781 | 1.1964          |
+| 0.8272        | 4.0   | 3708 | 1.2444          |
+| 0.756         | 5.0   | 4635 | 1.2935          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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