Training in progress, epoch 1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "aimarsg/bert-finetuned-ner",
+  "_name_or_path": "bert-base-cased",
   "architectures": [
     "BertForTokenClassification"
   ],
@@ -16,15 +16,19 @@
     "3": "B-ORG",
     "4": "I-ORG",
     "5": "B-LOC",
-    "6": "I-LOC"
+    "6": "I-LOC",
+    "7": "B-MISC",
+    "8": "I-MISC"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
     "B-LOC": 5,
+    "B-MISC": 7,
     "B-ORG": 3,
     "B-PER": 1,
     "I-LOC": 6,
+    "I-MISC": 8,
     "I-ORG": 4,
     "I-PER": 2,
     "O": 0
@@ -37,7 +41,7 @@
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.25.1",
+  "transformers_version": "4.26.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 28996

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 430978541

runs/Jan25_22-35-38_971288920cdd/1674686329.9758427/events.out.tfevents.1674686329.971288920cdd.149.1

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runs/Jan25_22-35-38_971288920cdd/events.out.tfevents.1674686329.971288920cdd.149.0

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tokenizer_config.json

@@ -3,7 +3,7 @@
   "do_lower_case": false,
   "mask_token": "[MASK]",
   "model_max_length": 512,
-  "name_or_path": "aimarsg/bert-finetuned-ner",
+  "name_or_path": "bert-base-cased",
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "special_tokens_map_file": null,

training_args.bin

@@ -1,3 +1,3 @@
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+size 3515