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Lukitaduarte
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dinah-0-apache

Text Classification
Transformers
ONNX
Safetensors
English
Portuguese
modernbert
feature-extraction
encoder
typed-decisions
decision-index
cpu
decision-model
text-embeddings-inference
Model card Files
xet
 Community
dinah-0-apache
File size: 2,121 Bytes
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{
  "architectures": [
    "ModernBertModel"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 50281,
  "classifier_activation": "silu",
  "classifier_bias": false,
  "classifier_dropout": 0.0,
  "classifier_pooling": "mean",
  "cls_token_id": 50281,
  "decoder_bias": true,
  "deterministic_flash_attn": false,
  "embedding_dropout": 0.0,
  "eos_token_id": 50282,
  "global_attn_every_n_layers": 3,
  "global_rope_theta": 160000.0,
  "gradient_checkpointing": false,
  "hidden_activation": "gelu",
  "hidden_size": 768,
  "initializer_cutoff_factor": 2.0,
  "initializer_range": 0.02,
  "intermediate_size": 1152,
  "layer_norm_eps": 1e-05,
  "local_attention": 128,
  "local_rope_theta": 10000.0,
  "max_position_embeddings": 8192,
  "mlp_bias": false,
  "mlp_dropout": 0.0,
  "model_type": "modernbert",
  "norm_bias": false,
  "norm_eps": 1e-05,
  "num_attention_heads": 12,
  "num_hidden_layers": 22,
  "pad_token_id": 50283,
  "position_embedding_type": "absolute",
  "sep_token_id": 50282,
  "tie_word_embeddings": true,
  "torch_dtype": "float32",
  "transformers_version": "4.48.0",
  "vocab_size": 50369,
  "dinah": {
    "opt_token": "[OPT]",
    "opt_token_id": 50368,
    "question_types": {
      "noul": 0,
      "choice": 1,
      "score": 2
    },
    "max_length": 8192,
    "pad_multiple": 64,
    "calibration": {
      "temperature": [
        [
          1.3,
          1.0,
          1.0,
          1.0,
          1.0,
          1.0,
          1.0,
          1.0
        ],
        [
          1.0,
          1.0,
          1.4,
          1.35,
          1.0,
          1.0,
          1.0,
          1.0
        ],
        [
          1.0,
          1.0,
          1.3,
          1.3,
          1.0,
          1.0,
          1.0,
          1.0
        ]
      ],
      "platt": [
        0.7,
        -0.1
      ],
      "note": "temperature[question_type][min(max(k,2),9)-2] divides the logits (fit on soft-label NLL); platt maps the confidence logit: sigmoid(a*z+b). Fit on half of the typed-decisions test sets (even indices); the other half is held out."
    }
  }
}