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RoBERTa-10

Text Classification
TensorBoard
Safetensors
xlm-roberta
Trained with AutoTrain
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RoBERTa-10
File size: 1,124 Bytes 
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{
  "_name_or_path": "FacebookAI/xlm-roberta-large",
  "_num_labels": 10,
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "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": 1024,
  "id2label": {
    "0": "AR",
    "1": "BR",
    "2": "CN",
    "3": "FR",
    "4": "IL",
    "5": "IQ",
    "6": "IT",
    "7": "JP",
    "8": "KR",
    "9": "RU"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "AR": 0,
    "BR": 1,
    "CN": 2,
    "FR": 3,
    "IL": 4,
    "IQ": 5,
    "IT": 6,
    "JP": 7,
    "KR": 8,
    "RU": 9
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.44.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}