cuwfnguyen
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Browse files- README.md +36 -0
- added_tokens.json +3 -0
- bpe.codes +0 -0
- checkpoint-804/config.json +103 -0
- checkpoint-804/model.safetensors +3 -0
- checkpoint-804/optimizer.pt +3 -0
- checkpoint-804/rng_state.pth +3 -0
- checkpoint-804/scheduler.pt +3 -0
- checkpoint-804/trainer_state.json +2964 -0
- checkpoint-804/training_args.bin +3 -0
- config.json +103 -0
- model.safetensors +3 -0
- runs/Sep04_02-07-36_r-cuwfnguyen-autotrain-advanced-tqduow70-6d178-7tndo/events.out.tfevents.1725415658.r-cuwfnguyen-autotrain-advanced-tqduow70-6d178-7tndo.102.0 +2 -2
- runs/Sep04_02-07-36_r-cuwfnguyen-autotrain-advanced-tqduow70-6d178-7tndo/events.out.tfevents.1725431613.r-cuwfnguyen-autotrain-advanced-tqduow70-6d178-7tndo.102.1 +3 -0
- special_tokens_map.json +9 -0
- tokenizer_config.json +54 -0
- training_args.bin +3 -0
- training_params.json +30 -0
- vocab.txt +0 -0
README.md
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---
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tags:
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- autotrain
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- text-classification
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base_model: vinai/phobert-base
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widget:
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- text: "I love AutoTrain"
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---
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# Model Trained Using AutoTrain
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- Problem type: Text Classification
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## Validation Metrics
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loss: 0.890067458152771
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f1_macro: 0.7178212262554823
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f1_micro: 0.76
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f1_weighted: 0.7341365415630122
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precision_macro: 0.7468954248366012
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precision_micro: 0.76
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precision_weighted: 0.766861111111111
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recall_macro: 0.7448179271708684
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recall_micro: 0.76
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recall_weighted: 0.76
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accuracy: 0.76
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added_tokens.json
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{
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"<mask>": 64000
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}
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bpe.codes
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The diff for this file is too large to render.
See raw diff
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checkpoint-804/config.json
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{
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"_name_or_path": "vinai/phobert-base",
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"_num_labels": 34,
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": " 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",
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"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",
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"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",
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"3": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o h\u00e0nh v\u00e0 h\u1ed7 tr\u1ee3 k\u1ef9 thu\u1eadt",
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"4": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o m\u1eadt th\u00f4ng tin kh\u00e1ch h\u00e0ng",
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"5": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111i\u1ec3m th\u01b0\u1edfng v\u00e0 c\u00e1ch s\u1eed d\u1ee5ng",
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"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",
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23 |
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"7": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111\u1ed5i tr\u1ea3 v\u00e0 ho\u00e0n ti\u1ec1n",
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"8": "H\u1ecfi v\u1ec1 ch\u01b0\u01a1ng tr\u00ecnh khuy\u1ebfn m\u00e3i, \u01b0u \u0111\u00e3i v\u00e0 flash sale",
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25 |
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"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",
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26 |
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"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",
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27 |
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"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",
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"12": "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c nh\u1eadn h\u00f3a \u0111\u01a1n \u0111\u1ecf",
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"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",
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"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",
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"15": "H\u1ecfi v\u1ec1 gi\u00e1 s\u1ea3n ph\u1ea9m",
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"16": "H\u1ecfi v\u1ec1 h\u01b0\u1edbng d\u1eabn s\u1eed d\u1ee5ng v\u00e0 b\u1ea3o qu\u1ea3n s\u1ea3n ph\u1ea9m",
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33 |
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"17": "H\u1ecfi v\u1ec1 k\u00edch th\u01b0\u1edbc, m\u00e0u s\u1eafc v\u00e0 ch\u1ea5t li\u1ec7u s\u1ea3n ph\u1ea9m",
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"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",
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"19": "H\u1ecfi v\u1ec1 ngu\u1ed3n g\u1ed1c, xu\u1ea5t x\u1ee9 s\u1ea3n ph\u1ea9m",
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"20": "H\u1ecfi v\u1ec1 ph\u00ed v\u00e0 th\u1eddi gian v\u1eadn chuy\u1ec3n",
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"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",
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"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",
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"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",
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"24": "H\u1ecfi v\u1ec1 s\u1ea3n ph\u1ea9m \u0111\u00e3 qua s\u1eed d\u1ee5ng ho\u1eb7c h\u00e0ng \u0111\u1ed5i tr\u1ea3",
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"25": "H\u1ecfi v\u1ec1 th\u1eddi gian giao h\u00e0ng d\u1ef1 ki\u1ebfn",
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"26": "H\u1ecfi v\u1ec1 t\u00ecnh tr\u1ea1ng c\u00f2n h\u00e0ng v\u00e0 s\u1ed1 l\u01b0\u1ee3ng mua t\u1ed1i \u0111a",
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"27": "Y\u00eau c\u1ea7u gi\u1ea3m gi\u00e1 khuy\u1ebfn m\u00e3i ho\u1eb7c m\u00e3 gi\u1ea3m gi\u00e1",
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"28": "Y\u00eau c\u1ea7u g\u1eedi h\u00ecnh \u1ea3nh th\u1eadt c\u1ee7a s\u1ea3n ph\u1ea9m",
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"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",
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"30": "Y\u00eau c\u1ea7u th\u00f4ng tin chi ti\u1ebft s\u1ea3n ph\u1ea9m",
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"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",
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"32": "Y\u00eau c\u1ea7u t\u01b0 v\u1ea5n s\u1ea3n ph\u1ea9m ph\u00f9 h\u1ee3p",
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"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"
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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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" 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,
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55 |
+
" 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,
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56 |
+
" 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,
|
57 |
+
"H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o h\u00e0nh v\u00e0 h\u1ed7 tr\u1ee3 k\u1ef9 thu\u1eadt": 3,
|
58 |
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"H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o m\u1eadt th\u00f4ng tin kh\u00e1ch h\u00e0ng": 4,
|
59 |
+
"H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111i\u1ec3m th\u01b0\u1edfng v\u00e0 c\u00e1ch s\u1eed d\u1ee5ng": 5,
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60 |
+
"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,
|
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+
"H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111\u1ed5i tr\u1ea3 v\u00e0 ho\u00e0n ti\u1ec1n": 7,
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62 |
+
"H\u1ecfi v\u1ec1 ch\u01b0\u01a1ng tr\u00ecnh khuy\u1ebfn m\u00e3i, \u01b0u \u0111\u00e3i v\u00e0 flash sale": 8,
|
63 |
+
"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,
|
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+
"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,
|
65 |
+
"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,
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+
"H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c nh\u1eadn h\u00f3a \u0111\u01a1n \u0111\u1ecf": 12,
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67 |
+
"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,
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68 |
+
"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,
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69 |
+
"H\u1ecfi v\u1ec1 gi\u00e1 s\u1ea3n ph\u1ea9m": 15,
|
70 |
+
"H\u1ecfi v\u1ec1 h\u01b0\u1edbng d\u1eabn s\u1eed d\u1ee5ng v\u00e0 b\u1ea3o qu\u1ea3n s\u1ea3n ph\u1ea9m": 16,
|
71 |
+
"H\u1ecfi v\u1ec1 k\u00edch th\u01b0\u1edbc, m\u00e0u s\u1eafc v\u00e0 ch\u1ea5t li\u1ec7u s\u1ea3n ph\u1ea9m": 17,
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72 |
+
"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,
|
73 |
+
"H\u1ecfi v\u1ec1 ngu\u1ed3n g\u1ed1c, xu\u1ea5t x\u1ee9 s\u1ea3n ph\u1ea9m": 19,
|
74 |
+
"H\u1ecfi v\u1ec1 ph\u00ed v\u00e0 th\u1eddi gian v\u1eadn chuy\u1ec3n": 20,
|
75 |
+
"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,
|
76 |
+
"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,
|
77 |
+
"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,
|
78 |
+
"H\u1ecfi v\u1ec1 s\u1ea3n ph\u1ea9m \u0111\u00e3 qua s\u1eed d\u1ee5ng ho\u1eb7c h\u00e0ng \u0111\u1ed5i tr\u1ea3": 24,
|
79 |
+
"H\u1ecfi v\u1ec1 th\u1eddi gian giao h\u00e0ng d\u1ef1 ki\u1ebfn": 25,
|
80 |
+
"H\u1ecfi v\u1ec1 t\u00ecnh tr\u1ea1ng c\u00f2n h\u00e0ng v\u00e0 s\u1ed1 l\u01b0\u1ee3ng mua t\u1ed1i \u0111a": 26,
|
81 |
+
"Y\u00eau c\u1ea7u gi\u1ea3m gi\u00e1 khuy\u1ebfn m\u00e3i ho\u1eb7c m\u00e3 gi\u1ea3m gi\u00e1": 27,
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+
"Y\u00eau c\u1ea7u g\u1eedi h\u00ecnh \u1ea3nh th\u1eadt c\u1ee7a s\u1ea3n ph\u1ea9m": 28,
|
83 |
+
"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,
|
84 |
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"Y\u00eau c\u1ea7u th\u00f4ng tin chi ti\u1ebft s\u1ea3n ph\u1ea9m": 30,
|
85 |
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|
86 |
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"Y\u00eau c\u1ea7u t\u01b0 v\u1ea5n s\u1ea3n ph\u1ea9m ph\u00f9 h\u1ee3p": 32,
|
87 |
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"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
|
88 |
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},
|
89 |
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"layer_norm_eps": 1e-05,
|
90 |
+
"max_position_embeddings": 258,
|
91 |
+
"model_type": "roberta",
|
92 |
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"num_attention_heads": 12,
|
93 |
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"num_hidden_layers": 12,
|
94 |
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"pad_token_id": 1,
|
95 |
+
"position_embedding_type": "absolute",
|
96 |
+
"problem_type": "single_label_classification",
|
97 |
+
"tokenizer_class": "PhobertTokenizer",
|
98 |
+
"torch_dtype": "float32",
|
99 |
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"transformers_version": "4.44.1",
|
100 |
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"type_vocab_size": 1,
|
101 |
+
"use_cache": true,
|
102 |
+
"vocab_size": 64001
|
103 |
+
}
|
checkpoint-804/model.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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|
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size 540121816
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checkpoint-804/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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size 1080357882
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checkpoint-804/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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|
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size 13990
|
checkpoint-804/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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size 1064
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checkpoint-804/trainer_state.json
ADDED
@@ -0,0 +1,2964 @@
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+
"args": {
|
2942 |
+
"early_stopping_patience": 5,
|
2943 |
+
"early_stopping_threshold": 0.01
|
2944 |
+
},
|
2945 |
+
"attributes": {
|
2946 |
+
"early_stopping_patience_counter": 0
|
2947 |
+
}
|
2948 |
+
},
|
2949 |
+
"TrainerControl": {
|
2950 |
+
"args": {
|
2951 |
+
"should_epoch_stop": false,
|
2952 |
+
"should_evaluate": false,
|
2953 |
+
"should_log": false,
|
2954 |
+
"should_save": true,
|
2955 |
+
"should_training_stop": false
|
2956 |
+
},
|
2957 |
+
"attributes": {}
|
2958 |
+
}
|
2959 |
+
},
|
2960 |
+
"total_flos": 844829150146560.0,
|
2961 |
+
"train_batch_size": 16,
|
2962 |
+
"trial_name": null,
|
2963 |
+
"trial_params": null
|
2964 |
+
}
|
checkpoint-804/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:da8fd87379f92b44bfe24ad17cf7970f1ba9767b514a253b1ea5d776a21c8229
|
3 |
+
size 5240
|
config.json
ADDED
@@ -0,0 +1,103 @@
|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "vinai/phobert-base",
|
3 |
+
"_num_labels": 34,
|
4 |
+
"architectures": [
|
5 |
+
"RobertaForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.1,
|
8 |
+
"bos_token_id": 0,
|
9 |
+
"classifier_dropout": null,
|
10 |
+
"eos_token_id": 2,
|
11 |
+
"gradient_checkpointing": false,
|
12 |
+
"hidden_act": "gelu",
|
13 |
+
"hidden_dropout_prob": 0.1,
|
14 |
+
"hidden_size": 768,
|
15 |
+
"id2label": {
|
16 |
+
"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",
|
17 |
+
"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",
|
18 |
+
"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",
|
19 |
+
"3": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o h\u00e0nh v\u00e0 h\u1ed7 tr\u1ee3 k\u1ef9 thu\u1eadt",
|
20 |
+
"4": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o m\u1eadt th\u00f4ng tin kh\u00e1ch h\u00e0ng",
|
21 |
+
"5": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111i\u1ec3m th\u01b0\u1edfng v\u00e0 c\u00e1ch s\u1eed d\u1ee5ng",
|
22 |
+
"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",
|
23 |
+
"7": "H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111\u1ed5i tr\u1ea3 v\u00e0 ho\u00e0n ti\u1ec1n",
|
24 |
+
"8": "H\u1ecfi v\u1ec1 ch\u01b0\u01a1ng tr\u00ecnh khuy\u1ebfn m\u00e3i, \u01b0u \u0111\u00e3i v\u00e0 flash sale",
|
25 |
+
"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",
|
26 |
+
"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",
|
27 |
+
"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",
|
28 |
+
"12": "H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c nh\u1eadn h\u00f3a \u0111\u01a1n \u0111\u1ecf",
|
29 |
+
"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",
|
30 |
+
"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",
|
31 |
+
"15": "H\u1ecfi v\u1ec1 gi\u00e1 s\u1ea3n ph\u1ea9m",
|
32 |
+
"16": "H\u1ecfi v\u1ec1 h\u01b0\u1edbng d\u1eabn s\u1eed d\u1ee5ng v\u00e0 b\u1ea3o qu\u1ea3n s\u1ea3n ph\u1ea9m",
|
33 |
+
"17": "H\u1ecfi v\u1ec1 k\u00edch th\u01b0\u1edbc, m\u00e0u s\u1eafc v\u00e0 ch\u1ea5t li\u1ec7u s\u1ea3n ph\u1ea9m",
|
34 |
+
"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",
|
35 |
+
"19": "H\u1ecfi v\u1ec1 ngu\u1ed3n g\u1ed1c, xu\u1ea5t x\u1ee9 s\u1ea3n ph\u1ea9m",
|
36 |
+
"20": "H\u1ecfi v\u1ec1 ph\u00ed v\u00e0 th\u1eddi gian v\u1eadn chuy\u1ec3n",
|
37 |
+
"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",
|
38 |
+
"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",
|
39 |
+
"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",
|
40 |
+
"24": "H\u1ecfi v\u1ec1 s\u1ea3n ph\u1ea9m \u0111\u00e3 qua s\u1eed d\u1ee5ng ho\u1eb7c h\u00e0ng \u0111\u1ed5i tr\u1ea3",
|
41 |
+
"25": "H\u1ecfi v\u1ec1 th\u1eddi gian giao h\u00e0ng d\u1ef1 ki\u1ebfn",
|
42 |
+
"26": "H\u1ecfi v\u1ec1 t\u00ecnh tr\u1ea1ng c\u00f2n h\u00e0ng v\u00e0 s\u1ed1 l\u01b0\u1ee3ng mua t\u1ed1i \u0111a",
|
43 |
+
"27": "Y\u00eau c\u1ea7u gi\u1ea3m gi\u00e1 khuy\u1ebfn m\u00e3i ho\u1eb7c m\u00e3 gi\u1ea3m gi\u00e1",
|
44 |
+
"28": "Y\u00eau c\u1ea7u g\u1eedi h\u00ecnh \u1ea3nh th\u1eadt c\u1ee7a s\u1ea3n ph\u1ea9m",
|
45 |
+
"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",
|
46 |
+
"30": "Y\u00eau c\u1ea7u th\u00f4ng tin chi ti\u1ebft s\u1ea3n ph\u1ea9m",
|
47 |
+
"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",
|
48 |
+
"32": "Y\u00eau c\u1ea7u t\u01b0 v\u1ea5n s\u1ea3n ph\u1ea9m ph\u00f9 h\u1ee3p",
|
49 |
+
"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"
|
50 |
+
},
|
51 |
+
"initializer_range": 0.02,
|
52 |
+
"intermediate_size": 3072,
|
53 |
+
"label2id": {
|
54 |
+
" 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,
|
55 |
+
" 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,
|
56 |
+
" 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,
|
57 |
+
"H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o h\u00e0nh v\u00e0 h\u1ed7 tr\u1ee3 k\u1ef9 thu\u1eadt": 3,
|
58 |
+
"H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch b\u1ea3o m\u1eadt th\u00f4ng tin kh\u00e1ch h\u00e0ng": 4,
|
59 |
+
"H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111i\u1ec3m th\u01b0\u1edfng v\u00e0 c\u00e1ch s\u1eed d\u1ee5ng": 5,
|
60 |
+
"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,
|
61 |
+
"H\u1ecfi v\u1ec1 ch\u00ednh s\u00e1ch \u0111\u1ed5i tr\u1ea3 v\u00e0 ho\u00e0n ti\u1ec1n": 7,
|
62 |
+
"H\u1ecfi v\u1ec1 ch\u01b0\u01a1ng tr\u00ecnh khuy\u1ebfn m\u00e3i, \u01b0u \u0111\u00e3i v\u00e0 flash sale": 8,
|
63 |
+
"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,
|
64 |
+
"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,
|
65 |
+
"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,
|
66 |
+
"H\u1ecfi v\u1ec1 c\u00e1ch th\u1ee9c nh\u1eadn h\u00f3a \u0111\u01a1n \u0111\u1ecf": 12,
|
67 |
+
"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,
|
68 |
+
"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,
|
69 |
+
"H\u1ecfi v\u1ec1 gi\u00e1 s\u1ea3n ph\u1ea9m": 15,
|
70 |
+
"H\u1ecfi v\u1ec1 h\u01b0\u1edbng d\u1eabn s\u1eed d\u1ee5ng v\u00e0 b\u1ea3o qu\u1ea3n s\u1ea3n ph\u1ea9m": 16,
|
71 |
+
"H\u1ecfi v\u1ec1 k\u00edch th\u01b0\u1edbc, m\u00e0u s\u1eafc v\u00e0 ch\u1ea5t li\u1ec7u s\u1ea3n ph\u1ea9m": 17,
|
72 |
+
"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,
|
73 |
+
"H\u1ecfi v\u1ec1 ngu\u1ed3n g\u1ed1c, xu\u1ea5t x\u1ee9 s\u1ea3n ph\u1ea9m": 19,
|
74 |
+
"H\u1ecfi v\u1ec1 ph\u00ed v\u00e0 th\u1eddi gian v\u1eadn chuy\u1ec3n": 20,
|
75 |
+
"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,
|
76 |
+
"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,
|
77 |
+
"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,
|
78 |
+
"H\u1ecfi v\u1ec1 s\u1ea3n ph\u1ea9m \u0111\u00e3 qua s\u1eed d\u1ee5ng ho\u1eb7c h\u00e0ng \u0111\u1ed5i tr\u1ea3": 24,
|
79 |
+
"H\u1ecfi v\u1ec1 th\u1eddi gian giao h\u00e0ng d\u1ef1 ki\u1ebfn": 25,
|
80 |
+
"H\u1ecfi v\u1ec1 t\u00ecnh tr\u1ea1ng c\u00f2n h\u00e0ng v\u00e0 s\u1ed1 l\u01b0\u1ee3ng mua t\u1ed1i \u0111a": 26,
|
81 |
+
"Y\u00eau c\u1ea7u gi\u1ea3m gi\u00e1 khuy\u1ebfn m\u00e3i ho\u1eb7c m\u00e3 gi\u1ea3m gi\u00e1": 27,
|
82 |
+
"Y\u00eau c\u1ea7u g\u1eedi h\u00ecnh \u1ea3nh th\u1eadt c\u1ee7a s\u1ea3n ph\u1ea9m": 28,
|
83 |
+
"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,
|
84 |
+
"Y\u00eau c\u1ea7u th\u00f4ng tin chi ti\u1ebft s\u1ea3n ph\u1ea9m": 30,
|
85 |
+
"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,
|
86 |
+
"Y\u00eau c\u1ea7u t\u01b0 v\u1ea5n s\u1ea3n ph\u1ea9m ph\u00f9 h\u1ee3p": 32,
|
87 |
+
"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
|
88 |
+
},
|
89 |
+
"layer_norm_eps": 1e-05,
|
90 |
+
"max_position_embeddings": 258,
|
91 |
+
"model_type": "roberta",
|
92 |
+
"num_attention_heads": 12,
|
93 |
+
"num_hidden_layers": 12,
|
94 |
+
"pad_token_id": 1,
|
95 |
+
"position_embedding_type": "absolute",
|
96 |
+
"problem_type": "single_label_classification",
|
97 |
+
"tokenizer_class": "PhobertTokenizer",
|
98 |
+
"torch_dtype": "float32",
|
99 |
+
"transformers_version": "4.44.1",
|
100 |
+
"type_vocab_size": 1,
|
101 |
+
"use_cache": true,
|
102 |
+
"vocab_size": 64001
|
103 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
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special_tokens_map.json
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tokenizer_config.json
ADDED
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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training_params.json
ADDED
@@ -0,0 +1,30 @@
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1 |
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{
|
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|
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|
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|
vocab.txt
ADDED
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