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xlm_roberta_large_headline_cause_full

Text Classification Transformers PyTorch
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xlm_roberta_large_headline_cause_full
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{
  "_name_or_path": "xlm-roberta-large",
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "bad",
    "1": "same",
    "2": "rel",
    "3": "left_right_cause",
    "4": "right_left_cause",
    "5": "left_right_refute",
    "6": "right_left_refute"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "bad": 0,
    "same": 1,
    "rel": 2,
    "left_right_cause": 3,
    "right_left_cause": 4,
    "left_right_refute": 5,
    "right_left_refute": 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,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.9.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}