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ecomerce_intent_classification

Text Classification
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ecomerce_intent_classification
File size: 9,014 Bytes 
c54d851
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "vinai/phobert-base",
  "_num_labels": 34,
  "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": " H\u1ecfi v\u1ec1 c\u00e1ch x\u1eed l\u00fd khi g\u1eb7p v\u1ea5n \u0111\u1ec1 v\u1edbi s\u1ea3n ph\u1ea9m b\u1ecb l\u1ed7i",
    "1": " H\u1ecfi v\u1ec1 t\u00ecnh tr\u1ea1ng \u0111\u01a1n h\u00e0ng v\u00e0 c\u00e1ch th\u1ee9c h\u1ee7y \u0111\u01a1n h\u00e0ng",
    "2": " Y\u00eau c\u1ea7u h\u1ed7 tr\u1ee3 khi g\u1eb7p v\u1ea5n \u0111\u1ec1 v\u1edbi Shopee Mall ho\u1eb7c c\u00e1c shop kh\u00e1c",
    "3": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o h\u00e0nh v\u00e0 h\u1ed7 tr\u1ee3 k\u1ef9 thu\u1eadt",
    "4": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o m\u1eadt th\u00f4ng tin kh\u00e1ch h\u00e0ng",
    "5": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111i\u1ec3m th\u01b0\u1edfng v\u00e0 c\u00e1ch s\u1eed d\u1ee5ng",
    "6": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111\u1ed1i v\u1edbi kh\u00e1ch h\u00e0ng th\u00e2n thi\u1ebft v\u00e0 \u01b0u \u0111\u00e3i sinh nh\u1eadt",
    "7": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111\u1ed5i tr\u1ea3 v\u00e0 ho\u00e0n ti\u1ec1n",
    "8": "H\u1ecfi v\u1ec1 ch\u01b0\u01a1ng tr\u00ecnh khuy\u1ebfn m\u00e3i, \u01b0u \u0111\u00e3i v\u00e0 flash sale",
    "9": "H\u1ecfi v\u1ec1 ch\u01b0\u01a1ng tr\u00ecnh \u01b0u \u0111\u00e3i combo v\u00e0 ph\u00ed v\u1eadn chuy\u1ec3n khi mua combo",
    "10": "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c g\u00f3i h\u00e0ng, \u0111\u1eb7c bi\u1ec7t \u0111\u1ed1i v\u1edbi h\u00e0ng d\u1ec5 v\u1ee1",
    "11": "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c nh\u1eadn h\u00e0ng t\u1ea1i c\u1eeda h\u00e0ng ho\u1eb7c \u0111\u1ecba \u0111i\u1ec3m kh\u00e1c",
    "12": "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c nh\u1eadn h\u00f3a \u0111\u01a1n \u0111\u1ecf",
    "13": "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c \u0111\u1ed5i qu\u00e0 t\u1eb7ng k\u00e8m ho\u1eb7c s\u1ea3n ph\u1ea9m khuy\u1ebfn m\u00e3i",
    "14": "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c \u0111\u1ed5i, tr\u1ea3, v\u00e0 s\u1eeda \u0111\u1ed5i th\u00f4ng tin \u0111\u01a1n h\u00e0ng",
    "15": "H\u1ecfi v\u1ec1 gi\u00e1 s\u1ea3n ph\u1ea9m",
    "16": "H\u1ecfi v\u1ec1 h\u01b0\u1edbng d\u1eabn s\u1eed d\u1ee5ng v\u00e0 b\u1ea3o qu\u1ea3n s\u1ea3n ph\u1ea9m",
    "17": "H\u1ecfi v\u1ec1 k\u00edch th\u01b0\u1edbc, m\u00e0u s\u1eafc v\u00e0 ch\u1ea5t li\u1ec7u s\u1ea3n ph\u1ea9m",
    "18": "H\u1ecfi v\u1ec1 l\u1ecbch s\u1eed mua h\u00e0ng v\u00e0 ch\u01b0\u01a1ng tr\u00ecnh kh\u00e1ch h\u00e0ng th\u00e2n thi\u1ebft",
    "19": "H\u1ecfi v\u1ec1 ngu\u1ed3n g\u1ed1c, xu\u1ea5t x\u1ee9 s\u1ea3n ph\u1ea9m",
    "20": "H\u1ecfi v\u1ec1 ph\u00ed v\u00e0 th\u1eddi gian v\u1eadn chuy\u1ec3n",
    "21": "H\u1ecfi v\u1ec1 ph\u00ed v\u00e0 \u0111i\u1ec1u ki\u1ec7n \u0111\u1eb7t h\u00e0ng tr\u01b0\u1edbc s\u1ea3n ph\u1ea9m ch\u01b0a ra m\u1eaft",
    "22": "H\u1ecfi v\u1ec1 ph\u01b0\u01a1ng th\u1ee9c thanh to\u00e1n v\u00e0 h\u1ed7 tr\u1ee3 khi g\u1eb7p s\u1ef1 c\u1ed1 thanh to\u00e1n",
    "23": "H\u1ecfi v\u1ec1 s\u1ea3n ph\u1ea9m m\u1edbi v\u1ec1, s\u1ea3n ph\u1ea9m b\u00e1n ch\u1ea1y nh\u1ea5t v\u00e0 hot trend",
    "24": "H\u1ecfi v\u1ec1 s\u1ea3n ph\u1ea9m \u0111\u00e3 qua s\u1eed d\u1ee5ng ho\u1eb7c h\u00e0ng \u0111\u1ed5i tr\u1ea3",
    "25": "H\u1ecfi v\u1ec1 th\u1eddi gian giao h\u00e0ng d\u1ef1 ki\u1ebfn",
    "26": "H\u1ecfi v\u1ec1 t\u00ecnh tr\u1ea1ng c\u00f2n h\u00e0ng v\u00e0 s\u1ed1 l\u01b0\u1ee3ng mua t\u1ed1i \u0111a",
    "27": "Y\u00eau c\u1ea7u gi\u1ea3m gi\u00e1 khuy\u1ebfn m\u00e3i ho\u1eb7c m\u00e3 gi\u1ea3m gi\u00e1",
    "28": "Y\u00eau c\u1ea7u g\u1eedi h\u00ecnh \u1ea3nh th\u1eadt c\u1ee7a s\u1ea3n ph\u1ea9m",
    "29": "Y\u00eau c\u1ea7u h\u1ed7 tr\u1ee3 khi kh\u00f4ng nh\u1eadn \u0111\u01b0\u1ee3c h\u00e0ng ho\u1eb7c h\u00e0ng kh\u00f4ng \u0111\u00fang m\u00f4 t\u1ea3",
    "30": "Y\u00eau c\u1ea7u th\u00f4ng tin chi ti\u1ebft s\u1ea3n ph\u1ea9m",
    "31": "Y\u00eau c\u1ea7u t\u01b0 v\u1ea5n ph\u1ed1i \u0111\u1ed3 ho\u1eb7c c\u00e1ch s\u1eed d\u1ee5ng s\u1ea3n ph\u1ea9m",
    "32": "Y\u00eau c\u1ea7u t\u01b0 v\u1ea5n s\u1ea3n ph\u1ea9m ph\u00f9 h\u1ee3p",
    "33": "Y\u00eau c\u1ea7u x\u00e1c nh\u1eadn th\u00f4ng tin \u0111\u01a1n h\u00e0ng ho\u1eb7c \u0111\u1ecba ch\u1ec9 giao h\u00e0ng"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    " H\u1ecfi v\u1ec1 c\u00e1ch x\u1eed l\u00fd khi g\u1eb7p v\u1ea5n \u0111\u1ec1 v\u1edbi s\u1ea3n ph\u1ea9m b\u1ecb l\u1ed7i": 0,
    " H\u1ecfi v\u1ec1 t\u00ecnh tr\u1ea1ng \u0111\u01a1n h\u00e0ng v\u00e0 c\u00e1ch th\u1ee9c h\u1ee7y \u0111\u01a1n h\u00e0ng": 1,
    " Y\u00eau c\u1ea7u h\u1ed7 tr\u1ee3 khi g\u1eb7p v\u1ea5n \u0111\u1ec1 v\u1edbi Shopee Mall ho\u1eb7c c\u00e1c shop kh\u00e1c": 2,
    "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o h\u00e0nh v\u00e0 h\u1ed7 tr\u1ee3 k\u1ef9 thu\u1eadt": 3,
    "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o m\u1eadt th\u00f4ng tin kh\u00e1ch h\u00e0ng": 4,
    "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111i\u1ec3m th\u01b0\u1edfng v\u00e0 c\u00e1ch s\u1eed d\u1ee5ng": 5,
    "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111\u1ed1i v\u1edbi kh\u00e1ch h\u00e0ng th\u00e2n thi\u1ebft v\u00e0 \u01b0u \u0111\u00e3i sinh nh\u1eadt": 6,
    "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111\u1ed5i tr\u1ea3 v\u00e0 ho\u00e0n ti\u1ec1n": 7,
    "H\u1ecfi v\u1ec1 ch\u01b0\u01a1ng tr\u00ecnh khuy\u1ebfn m\u00e3i, \u01b0u \u0111\u00e3i v\u00e0 flash sale": 8,
    "H\u1ecfi v\u1ec1 ch\u01b0\u01a1ng tr\u00ecnh \u01b0u \u0111\u00e3i combo v\u00e0 ph\u00ed v\u1eadn chuy\u1ec3n khi mua combo": 9,
    "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c g\u00f3i h\u00e0ng, \u0111\u1eb7c bi\u1ec7t \u0111\u1ed1i v\u1edbi h\u00e0ng d\u1ec5 v\u1ee1": 10,
    "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c nh\u1eadn h\u00e0ng t\u1ea1i c\u1eeda h\u00e0ng ho\u1eb7c \u0111\u1ecba \u0111i\u1ec3m kh\u00e1c": 11,
    "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c nh\u1eadn h\u00f3a \u0111\u01a1n \u0111\u1ecf": 12,
    "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c \u0111\u1ed5i qu\u00e0 t\u1eb7ng k\u00e8m ho\u1eb7c s\u1ea3n ph\u1ea9m khuy\u1ebfn m\u00e3i": 13,
    "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c \u0111\u1ed5i, tr\u1ea3, v\u00e0 s\u1eeda \u0111\u1ed5i th\u00f4ng tin \u0111\u01a1n h\u00e0ng": 14,
    "H\u1ecfi v\u1ec1 gi\u00e1 s\u1ea3n ph\u1ea9m": 15,
    "H\u1ecfi v\u1ec1 h\u01b0\u1edbng d\u1eabn s\u1eed d\u1ee5ng v\u00e0 b\u1ea3o qu\u1ea3n s\u1ea3n ph\u1ea9m": 16,
    "H\u1ecfi v\u1ec1 k\u00edch th\u01b0\u1edbc, m\u00e0u s\u1eafc v\u00e0 ch\u1ea5t li\u1ec7u s\u1ea3n ph\u1ea9m": 17,
    "H\u1ecfi v\u1ec1 l\u1ecbch s\u1eed mua h\u00e0ng v\u00e0 ch\u01b0\u01a1ng tr\u00ecnh kh\u00e1ch h\u00e0ng th\u00e2n thi\u1ebft": 18,
    "H\u1ecfi v\u1ec1 ngu\u1ed3n g\u1ed1c, xu\u1ea5t x\u1ee9 s\u1ea3n ph\u1ea9m": 19,
    "H\u1ecfi v\u1ec1 ph\u00ed v\u00e0 th\u1eddi gian v\u1eadn chuy\u1ec3n": 20,
    "H\u1ecfi v\u1ec1 ph\u00ed v\u00e0 \u0111i\u1ec1u ki\u1ec7n \u0111\u1eb7t h\u00e0ng tr\u01b0\u1edbc s\u1ea3n ph\u1ea9m ch\u01b0a ra m\u1eaft": 21,
    "H\u1ecfi v\u1ec1 ph\u01b0\u01a1ng th\u1ee9c thanh to\u00e1n v\u00e0 h\u1ed7 tr\u1ee3 khi g\u1eb7p s\u1ef1 c\u1ed1 thanh to\u00e1n": 22,
    "H\u1ecfi v\u1ec1 s\u1ea3n ph\u1ea9m m\u1edbi v\u1ec1, s\u1ea3n ph\u1ea9m b\u00e1n ch\u1ea1y nh\u1ea5t v\u00e0 hot trend": 23,
    "H\u1ecfi v\u1ec1 s\u1ea3n ph\u1ea9m \u0111\u00e3 qua s\u1eed d\u1ee5ng ho\u1eb7c h\u00e0ng \u0111\u1ed5i tr\u1ea3": 24,
    "H\u1ecfi v\u1ec1 th\u1eddi gian giao h\u00e0ng d\u1ef1 ki\u1ebfn": 25,
    "H\u1ecfi v\u1ec1 t\u00ecnh tr\u1ea1ng c\u00f2n h\u00e0ng v\u00e0 s\u1ed1 l\u01b0\u1ee3ng mua t\u1ed1i \u0111a": 26,
    "Y\u00eau c\u1ea7u gi\u1ea3m gi\u00e1 khuy\u1ebfn m\u00e3i ho\u1eb7c m\u00e3 gi\u1ea3m gi\u00e1": 27,
    "Y\u00eau c\u1ea7u g\u1eedi h\u00ecnh \u1ea3nh th\u1eadt c\u1ee7a s\u1ea3n ph\u1ea9m": 28,
    "Y\u00eau c\u1ea7u h\u1ed7 tr\u1ee3 khi kh\u00f4ng nh\u1eadn \u0111\u01b0\u1ee3c h\u00e0ng ho\u1eb7c h\u00e0ng kh\u00f4ng \u0111\u00fang m\u00f4 t\u1ea3": 29,
    "Y\u00eau c\u1ea7u th\u00f4ng tin chi ti\u1ebft s\u1ea3n ph\u1ea9m": 30,
    "Y\u00eau c\u1ea7u t\u01b0 v\u1ea5n ph\u1ed1i \u0111\u1ed3 ho\u1eb7c c\u00e1ch s\u1eed d\u1ee5ng s\u1ea3n ph\u1ea9m": 31,
    "Y\u00eau c\u1ea7u t\u01b0 v\u1ea5n s\u1ea3n ph\u1ea9m ph\u00f9 h\u1ee3p": 32,
    "Y\u00eau c\u1ea7u x\u00e1c nh\u1eadn th\u00f4ng tin \u0111\u01a1n h\u00e0ng ho\u1eb7c \u0111\u1ecba ch\u1ec9 giao h\u00e0ng": 33
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 258,
  "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": "PhobertTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.44.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 64001
}