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Rakshit122
/
roberta

Text Classification
Transformers
PyTorch
English
roberta
emotions
multi-class-classification
multi-label-classification
Inference Endpoints
Model card Files Community
1
roberta
File size: 1,963 Bytes 
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{
  "_name_or_path": "C:\\Users\\raksh\\Desktop\\LANGTEST\\langtest\\roberta-base-go_emotions",
  "architectures": [
    "RobertaModel"
  ],
  "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": "admiration",
    "1": "amusement",
    "2": "anger",
    "3": "annoyance",
    "4": "approval",
    "5": "caring",
    "6": "confusion",
    "7": "curiosity",
    "8": "desire",
    "9": "disappointment",
    "10": "disapproval",
    "11": "disgust",
    "12": "embarrassment",
    "13": "excitement",
    "14": "fear",
    "15": "gratitude",
    "16": "grief",
    "17": "joy",
    "18": "love",
    "19": "nervousness",
    "20": "optimism",
    "21": "pride",
    "22": "realization",
    "23": "relief",
    "24": "remorse",
    "25": "sadness",
    "26": "surprise",
    "27": "neutral"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "admiration": 0,
    "amusement": 1,
    "anger": 2,
    "annoyance": 3,
    "approval": 4,
    "caring": 5,
    "confusion": 6,
    "curiosity": 7,
    "desire": 8,
    "disappointment": 9,
    "disapproval": 10,
    "disgust": 11,
    "embarrassment": 12,
    "excitement": 13,
    "fear": 14,
    "gratitude": 15,
    "grief": 16,
    "joy": 17,
    "love": 18,
    "nervousness": 19,
    "neutral": 27,
    "optimism": 20,
    "pride": 21,
    "realization": 22,
    "relief": 23,
    "remorse": 24,
    "sadness": 25,
    "surprise": 26
  },
  "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": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.31.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}