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autonlp-Feedback1-479512837

Text Classification Transformers PyTorch
Enawené-Nawé xlm-roberta Trained with AutoTrain Carbon Emissions Inference Endpoints
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autonlp-Feedback1-479512837
File size: 1,280 Bytes 
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{
  "_name_or_path": "AutoNLP",
  "_num_labels": 7,
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "attention_window": [
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512
  ],
  "bos_token_id": 0,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Claim",
    "1": "Concluding Statement",
    "2": "Counterclaim",
    "3": "Evidence",
    "4": "Lead",
    "5": "Position",
    "6": "Rebuttal"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Claim": 0,
    "Concluding Statement": 1,
    "Counterclaim": 2,
    "Evidence": 3,
    "Lead": 4,
    "Position": 5,
    "Rebuttal": 6
  },
  "layer_norm_eps": 1e-05,
  "max_length": 128,
  "max_position_embeddings": 4098,
  "model_type": "xlm-roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "padding": "max_length",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "transformers_version": "4.8.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}