Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: HooshvareLab/bert-fa-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-fa-base-uncased-finetuned-PersianQuAD_DeepseekQA_WS_QA_embedding-3epochs
+  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. -->
+
+# bert-fa-base-uncased-finetuned-PersianQuAD_DeepseekQA_WS_QA_embedding-3epochs
+
+This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2590
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.7542        | 1.0   | 2263 | 0.9798          |
+| 0.4534        | 2.0   | 4526 | 1.1048          |
+| 0.2673        | 3.0   | 6789 | 1.2590          |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.9.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

runs/Dec09_06-01-54_8debcb3cbaca/events.out.tfevents.1765260118.8debcb3cbaca.446.0

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