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jonas
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roberta-base-finetuned-sdg

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
3
roberta-base-finetuned-sdg
File size: 1,187 Bytes 
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{
  "_name_or_path": "roberta-base",
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "1",
    "1": "10",
    "2": "11",
    "3": "12",
    "4": "13",
    "5": "14",
    "6": "15",
    "7": "2",
    "8": "3",
    "9": "4",
    "10": "5",
    "11": "6",
    "12": "7",
    "13": "8",
    "14": "9"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "1": 0,
    "10": 1,
    "11": 2,
    "12": 3,
    "13": 4,
    "14": 5,
    "15": 6,
    "2": 7,
    "3": 8,
    "4": 9,
    "5": 10,
    "6": 11,
    "7": 12,
    "8": 13,
    "9": 14
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.21.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}