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jitesh
/
emotion-english

Text Classification
Transformers
PyTorch
Safetensors
English
roberta
emotion
20 classes
code
emotions
Inference Endpoints
Model card Files Community
1
emotion-english
File size: 1,579 Bytes 
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{
  "_name_or_path": "distilroberta-base",
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "anger",
    "1": "cheeky",
    "2": "confuse",
    "3": "curious",
    "4": "disgust",
    "5": "empathetic",
    "6": "energetic",
    "7": "fear",
    "8": "grumpy",
    "9": "guilty",
    "10": "impatient",
    "11": "joy",
    "12": "love",
    "13": "neutral",
    "14": "sadness",
    "15": "serious",
    "16": "surprise",
    "17": "suspicious",
    "18": "think",
    "19": "whiny"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "anger": 0,
    "cheeky": 1,
    "confuse": 2,
    "curious": 3,
    "disgust": 4,
    "empathetic": 5,
    "energetic": 6,
    "fear": 7,
    "grumpy": 8,
    "guilty": 9,
    "impatient": 10,
    "joy": 11,
    "love": 12,
    "neutral": 13,
    "sadness": 14,
    "serious": 15,
    "surprise": 16,
    "suspicious": 17,
    "think": 18,
    "whiny": 19
  },
  "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": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.27.4",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}