Create model_card.yaml

model_card.yaml

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+model_details:
+  name: Kirim1/Bert
+  description: A multilingual instruction-following language model supporting 100+ languages with primary focus on English
+  version: 1.0.0
+  author: Kirim1
+  license: apache-2.0
+  model_type: bert
+  base_model: BERT
+
+model_characteristics:
+  architecture: BertForCausalLM
+  parameters: ~110M
+  hidden_size: 768
+  num_layers: 12
+  num_attention_heads: 12
+  vocab_size: 119547
+  max_position_embeddings: 512
+  context_window: 512
+
+capabilities:
+  primary_language: English
+  supported_languages: 100+
+  instruction_following: true
+  text_generation: true
+  multilingual_understanding: true
+  cross_lingual_tasks: true
+
+training:
+  training_data: Multilingual corpus with English emphasis
+  instruction_tuning: true
+  optimization: Instruction-following and task completion
+
+use_cases:
+  - Natural language understanding
+  - Text generation
+  - Question answering
+  - Text classification
+  - Multilingual text processing
+  - Instruction-following tasks
+  - Cross-lingual information retrieval
+
+limitations:
+  - Performance varies across language families
+  - Best results with English inputs
+  - May require domain-specific fine-tuning
+  - Limited performance on low-resource languages
+
+ethical_considerations:
+  - May reflect biases in training data
+  - Requires careful deployment in production
+  - Not suitable for sensitive decision-making without oversight
+  - Regular monitoring recommended
+
+technical_specifications:
+  framework: PyTorch
+  library: transformers
+  minimum_transformers_version: 4.36.0
+  precision: float32
+  deployment: CPU and GPU compatible