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config.json ADDED
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+ {
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+ "_name_or_path": "nateraw/bert-base-uncased-emotion",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "sadness",
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+ "1": "joy",
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+ "2": "love",
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+ "3": "anger",
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+ "4": "fear",
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+ "5": "surprise"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "anger": 3,
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+ "fear": 4,
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+ "joy": 1,
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+ "love": 2,
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+ "sadness": 0,
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+ "surprise": 5
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.33.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
quantize_config.json ADDED
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+ {
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+ "per_channel": true,
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+ "reduce_range": true,
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+ "per_model_config": {
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+ "model": {
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+ "op_types": [
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+ "Div",
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+ "Sub",
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+ "Concat",
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+ "Reshape",
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+ "Tanh",
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+ "Gemm",
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+ "Pow",
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+ "Slice",
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+ "Transpose",
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+ "Mul",
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+ "ReduceMean",
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+ "Gather",
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+ "Softmax",
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+ "Erf",
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+ "Constant",
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+ "Cast",
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+ "Sqrt",
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+ "Unsqueeze",
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+ "Shape",
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+ "Add",
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+ "MatMul"
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+ ],
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+ "weight_type": "QInt8"
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+ }
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+ }
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+ }
special_tokens_map.json ADDED
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+ {
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+ "cls_token": "[CLS]",
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+ "mask_token": "[MASK]",
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "unk_token": "[UNK]"
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "clean_up_tokenization_spaces": true,
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+ "cls_token": "[CLS]",
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+ "do_basic_tokenize": true,
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+ "do_lower_case": true,
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+ "mask_token": "[MASK]",
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+ "model_max_length": 512,
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+ "never_split": null,
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "strip_accents": null,
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "BertTokenizer",
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+ "unk_token": "[UNK]"
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+ }
vocab.txt ADDED
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