Update README.md

README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+datasets:
+- Kundyzka/informatics_kaz
+language:
+- kk
+metrics:
+  - name: F1 (Before Training)
+    type: F1 Score
+    value: 24.586
+  - name: Exact Match (Before Training)
+    type: Exact Match
+    value: 11.818
+  - name: F1 (After Training)
+    type: F1 Score
+    value: 63.317
+  - name: Exact Match (After Training)
+    type: Exact Match
+    value: 43.162
+base_model:
+- google-bert/bert-base-multilingual-cased
+new_version: Kundyzka/bert-base-multilingual-informatics-kaz
+pipeline_tag: question-answering
+library_name: adapter-transformers
+tags:
+- computerscience
+- informatics
+---
+
+# Description
+
+This model is a fine-tuned version of `google-bert/bert-base-multilingual-cased` using the `Kundyzka/informatics_kaz` dataset. Developed by **Kundyz Maksutova**, PhD Candidate, this model is specifically optimized for question-answering tasks in the Kazakh language, with a focus on computer science and informatics.
+
+### Key Features:
+- **Developer**: Kundyz Maksutova, PhD Candidate
+- **Base Model**: `google-bert/bert-base-multilingual-cased`
+- **Dataset**: `Kundyzka/informatics_kaz`
+- **Language**: Kazakh (`kk`)
+- **Task**: Question Answering (`pipeline_tag: question-answering`)
+- **Library**: `adapter-transformers`
+
+### Performance:
+This model demonstrates significant improvements after fine-tuning, as highlighted by the following metrics:
+
+- **Before Training**:
+  - F1 Score: 24.586
+  - Exact Match (EM): 11.818
+- **After Training**:
+  - F1 Score: 63.317
+  - Exact Match (EM): 43.162
+
+These metrics were evaluated on the `Kundyzka/informatics_kaz` dataset, indicating a substantial enhancement in the model’s ability to handle domain-specific questions.
+
+### Intended Use:
+This model is intended for question-answering applications in the Kazakh language. Potential use cases include:
+- **Educational Platforms**: Assisting students with queries in informatics and computer science.
+- **Research Projects**: Supporting research in Kazakh natural language processing.
+- **AI Applications**: Enhancing intelligent systems, chatbots, or virtual assistants requiring Kazakh language support.
+
+### Limitations:
+- **Domain-Specific Training**: The model is optimized for informatics and computer science topics, and performance may degrade on unrelated queries.
+- **Language Support**: The model supports only the Kazakh language and does not handle multilingual tasks.
+- **Bias**: Potential biases in the dataset may influence model outputs.
+
+### Tags:
+- `computerscience`
+- `informatics`
+- `question-answering`
+- `Kazakh`
+- `adapter-transformers`
+
+This model is a step forward in enabling high-quality question-answering systems for low-resource languages like Kazakh. For further details, customization, or fine-tuning, refer to the model repository.