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yaya36095
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text-detector

Text Classification
Safetensors
TEXT
MODEL
Model card Files Community
1
text-detector
File size: 3,063 Bytes 
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{
  "model_config": {
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    "architectures": [
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    "layer_norm_eps": 1e-05,
    "max_position_embeddings": 514,
    "model_type": "xlm-roberta",
    "num_attention_heads": 12,
    "num_hidden_layers": 12,
    "output_past": true,
    "pad_token_id": 1,
    "position_embedding_type": "absolute",
    "problem_type": "single_label_classification",
    "torch_dtype": "float32",
    "transformers_version": "4.44.2",
    "type_vocab_size": 1,
    "use_cache": true,
    "vocab_size": 250002
  },
  
  "training_config": {
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    "per_device_eval_batch_size": 16,
    "warmup_steps": 500,
    "weight_decay": 0.01,
    "logging_dir": "./logs",
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  "tokenizer_config": {
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    "padding_side": "right",
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      "pad_token": "<pad>",
      "unk_token": "<unk>",
      "bos_token": "<s>",
      "eos_token": "</s>"
    }
  },

  "inference_config": {
    "task": "text-classification",
    "labels": ["HUMAN", "AI"],
    "threshold": 0.5,
    "max_length": 512,
    "batch_size": 32,
    "options": {
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      "use_cache": true
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  "model_info": {
    "name": "text-detector",
    "version": "1.0.0",
    "author": "yaya36095",
    "description": "A model for detecting AI-generated vs human-written text",
    "license": "MIT",
    "repository": "https://huggingface.co/yaya36095/text-detector",
    "languages": ["multilingual"],
    "tags": [
      "text-classification",
      "ai-detection",
      "xlm-roberta"
    ]
  },

  "environment": {
    "framework": "transformers",
    "framework_version": "4.44.2",
    "python_version": ">=3.8.0",
    "cuda_support": true,
    "required_packages": {
      "torch": ">=1.10.0",
      "transformers": ">=4.44.2",
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  "logging_config": {
    "level": "INFO",
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    },
    "production_mode": {
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  },

  "performance_metrics": {
    "accuracy_threshold": 0.85,
    "latency_threshold_ms": 500,
    "max_batch_size": 64,
    "memory_limit_mb": 4096
  }
}