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RoBERTa-emotion-classification

Text Classification
Transformers
PyTorch
roberta
Inference Endpoints
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RoBERTa-emotion-classification
File size: 2,143 Bytes 
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{
  "_name_or_path": "/content/models/robertaclassifyft5",
  "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": "afraid",
    "1": "angry",
    "2": "annoyed",
    "3": "anticipating",
    "4": "anxious",
    "5": "apprehensive",
    "6": "ashamed",
    "7": "caring",
    "8": "confident",
    "9": "content",
    "10": "devastated",
    "11": "disappointed",
    "12": "disgusted",
    "13": "embarrassed",
    "14": "excited",
    "15": "faithful",
    "16": "furious",
    "17": "grateful",
    "18": "guilty",
    "19": "hopeful",
    "20": "impressed",
    "21": "jealous",
    "22": "joyful",
    "23": "lonely",
    "24": "nostalgic",
    "25": "prepared",
    "26": "proud",
    "27": "sad",
    "28": "sentimental",
    "29": "surprised",
    "30": "terrified",
    "31": "trusting"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
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  },
  "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": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.18.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}