Upload RobertaForSequenceClassification

config.json

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+{
+  "_name_or_path": "/kaggle/input/phobertv1/kaggle/working/fields_classification/checkpoint-4610",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B\u1ea3o_hi\u1ec3m",
+    "1": "B\u1ea5t_\u0111\u1ed9ng_s\u1ea3n",
+    "2": "B\u1ed9_m\u00e1y h\u00e0nh_ch\u00ednh",
+    "3": "Ch\u1ee9ng_kho\u00e1n",
+    "4": "C\u00f4ng_ngh\u1ec7_th\u00f4ng_tin",
+    "5": "Doanh_nghi\u1ec7p",
+    "6": "D\u1ecbch_v\u1ee5 ph\u00e1p_l\u00fd",
+    "7": "Giao_th\u00f4ng - V\u1eadn_t\u1ea3i",
+    "8": "Gi\u00e1o_d\u1ee5c",
+    "9": "K\u1ebf_to\u00e1n - Ki\u1ec3m_to\u00e1n",
+    "10": "Lao_\u0111\u1ed9ng - Ti\u1ec1n_l\u01b0\u01a1ng",
+    "11": "L\u0129nh_v\u1ef1c kh\u00e1c",
+    "12": "Quy\u1ec1n d\u00e2n_s\u1ef1",
+    "13": "S\u1edf_h\u1eefu_tr\u00ed_tu\u1ec7",
+    "14": "Thu\u1ebf - Ph\u00ed - L\u1ec7_Ph\u00ed",
+    "15": "Th\u01b0\u01a1ng_m\u1ea1i",
+    "16": "Th\u1ec3_thao - Y_t\u1ebf",
+    "17": "Th\u1ee7_t\u1ee5c T\u1ed1_t\u1ee5ng",
+    "18": "Ti\u1ec1n_t\u1ec7 - Ng\u00e2n_h\u00e0ng",
+    "19": "Tr\u00e1ch_nhi\u1ec7m h\u00ecnh_s\u1ef1",
+    "20": "T\u00e0i_ch\u00ednh nh\u00e0_n\u01b0\u1edbc",
+    "21": "Vi_ph\u1ea1m h\u00e0nh_ch\u00ednh",
+    "22": "V\u0103n_ho\u00e1 - X\u00e3_h\u1ed9i",
+    "23": "Xu\u1ea5t_nh\u1eadp_kh\u1ea9u",
+    "24": "X\u00e2y_d\u1ef1ng - \u0110\u00f4_th\u1ecb",
+    "25": "\u0110\u1ea7u_t\u01b0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B\u1ea3o_hi\u1ec3m": 0,
+    "B\u1ea5t_\u0111\u1ed9ng_s\u1ea3n": 1,
+    "B\u1ed9_m\u00e1y h\u00e0nh_ch\u00ednh": 2,
+    "Ch\u1ee9ng_kho\u00e1n": 3,
+    "C\u00f4ng_ngh\u1ec7_th\u00f4ng_tin": 4,
+    "Doanh_nghi\u1ec7p": 5,
+    "D\u1ecbch_v\u1ee5 ph\u00e1p_l\u00fd": 6,
+    "Giao_th\u00f4ng - V\u1eadn_t\u1ea3i": 7,
+    "Gi\u00e1o_d\u1ee5c": 8,
+    "K\u1ebf_to\u00e1n - Ki\u1ec3m_to\u00e1n": 9,
+    "Lao_\u0111\u1ed9ng - Ti\u1ec1n_l\u01b0\u01a1ng": 10,
+    "L\u0129nh_v\u1ef1c kh\u00e1c": 11,
+    "Quy\u1ec1n d\u00e2n_s\u1ef1": 12,
+    "S\u1edf_h\u1eefu_tr\u00ed_tu\u1ec7": 13,
+    "Thu\u1ebf - Ph\u00ed - L\u1ec7_Ph\u00ed": 14,
+    "Th\u01b0\u01a1ng_m\u1ea1i": 15,
+    "Th\u1ec3_thao - Y_t\u1ebf": 16,
+    "Th\u1ee7_t\u1ee5c T\u1ed1_t\u1ee5ng": 17,
+    "Ti\u1ec1n_t\u1ec7 - Ng\u00e2n_h\u00e0ng": 18,
+    "Tr\u00e1ch_nhi\u1ec7m h\u00ecnh_s\u1ef1": 19,
+    "T\u00e0i_ch\u00ednh nh\u00e0_n\u01b0\u1edbc": 20,
+    "Vi_ph\u1ea1m h\u00e0nh_ch\u00ednh": 21,
+    "V\u0103n_ho\u00e1 - X\u00e3_h\u1ed9i": 22,
+    "Xu\u1ea5t_nh\u1eadp_kh\u1ea9u": 23,
+    "X\u00e2y_d\u1ef1ng - \u0110\u00f4_th\u1ecb": 24,
+    "\u0110\u1ea7u_t\u01b0": 25
+  },
+  "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": "multi_label_classification",
+  "tokenizer_class": "PhobertTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 64001
+}

pytorch_model.bin

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