Training in progress, epoch 1

config.json

@@ -0,0 +1,59 @@
+{
+  "_name_or_path": "dslim/bert-base-NER",
+  "_num_labels": 9,
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-Product",
+    "1": "I-Product",
+    "2": "B-Trademark",
+    "3": "I-Trademark",
+    "4": "B-Country",
+    "5": "I-Country",
+    "6": "B-HSCode",
+    "7": "I-HSCode",
+    "8": "B-HSCodeEn",
+    "9": "I-HSCodeEn",
+    "10": "B-Manufacturer",
+    "11": "I-Manufacturer",
+    "12": "B-ModelNo",
+    "13": "I-ModelNo"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Country": 4,
+    "B-HSCode": 6,
+    "B-HSCodeEn": 8,
+    "B-Manufacturer": 10,
+    "B-ModelNo": 12,
+    "B-Product": 0,
+    "B-Trademark": 2,
+    "I-Country": 5,
+    "I-HSCode": 7,
+    "I-HSCodeEn": 9,
+    "I-Manufacturer": 11,
+    "I-ModelNo": 13,
+    "I-Product": 1,
+    "I-Trademark": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

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+oid sha256:181c92c98a454f78936cc2538148974828ceb9450d35e1f3ce22993c175d0d3c
+size 430989481

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,16 @@
+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "max_len": 512,
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4027