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xlm-roberta-large-caresC

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xlm-roberta-large-caresC
File size: 1,415 Bytes 
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{
  "_name_or_path": "xlm-roberta-large-32-3e-05-0-caresC_best",
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": 0.0,
  "eos_token_id": 2,
  "finetuning_task": "sentiment-analysis",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9",
    "10": "LABEL_10",
    "11": "LABEL_11",
    "12": "LABEL_12",
    "13": "LABEL_13",
    "14": "LABEL_14",
    "15": "LABEL_15"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
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    "13": 10,
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    "2": 1,
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    "4": 2,
    "6": 3,
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    "9": 6
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
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  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "type_vocab_size": 1,
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}