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MiniLMv2-goemotions-v2

Text Classification
Transformers
Safetensors
English
roberta
emotion
emotions
multi-class-classification
multi-label-classification
Eval Results
Inference Endpoints
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MiniLMv2-goemotions-v2
File size: 2,021 Bytes 
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{
  "_name_or_path": "nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large",
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "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": 384,
  "id2label": {
    "0": "admiration",
    "1": "amusement",
    "10": "disapproval",
    "11": "disgust",
    "12": "embarrassment",
    "13": "excitement",
    "14": "fear",
    "15": "gratitude",
    "16": "grief",
    "17": "joy",
    "18": "love",
    "19": "nervousness",
    "2": "anger",
    "20": "optimism",
    "21": "pride",
    "22": "realization",
    "23": "relief",
    "24": "remorse",
    "25": "sadness",
    "26": "surprise",
    "27": "neutral",
    "3": "annoyance",
    "4": "approval",
    "5": "caring",
    "6": "confusion",
    "7": "curiosity",
    "8": "desire",
    "9": "disappointment"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1536,
  "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": 6,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.36.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}