Update README.md

README.md

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 This model was fine-tuned on a dataset containing Persian question-answering pairs. It leverages the `roberta-base` architecture to provide answers based on the context provided. The training process was performed with a focus on improving the model's ability to handle Persian text and answer questions effectively.
 
-## Training Details
-
-The model was trained for 3 epochs with the following training and validation losses:
-
-- **Epoch 1**: 
-  - Training Loss: 2.0713
-  - Validation Loss: 2.1061
-
-- **Epoch 2**: 
-  - Training Loss: 2.1558
-  - Validation Loss: 2.0121
-
-- **Epoch 3**: 
-  - Training Loss: 2.0951
-  - Validation Loss: 2.0168
-
-## Evaluation Results
-
-The model achieved the following results:
-
-- **Training Loss**: Decreased over the epochs, indicating effective learning.
-- **Validation Loss**: Slight variations were observed, reflecting the model's performance on unseen data.
-
 ## Usage
 
 To use this model for question-answering tasks, load it with the `transformers` library: