bertweet-emotion-base / config.json
Emanuel's picture
Align label mapping with emotion dataset (#1)
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{
"_name_or_path": "vinai/bertweet-base",
"architectures": [
"RobertaForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"finetuning_task": "emotion",
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "sadness",
"1": "joy",
"2": "love",
"3": "anger",
"4": "fear",
"5": "surprise"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"sadness": 0,
"joy": 1,
"love": 2,
"anger": 3,
"fear": 4,
"surprise": 5
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 130,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"tokenizer_class": "BertweetTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.13.0.dev0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 64001
}