Training in progress, epoch 1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "Geotrend/distilbert-base-en-fr-de-no-da-cased",
+  "_name_or_path": "renjithks/distilbert-cord-ner",
   "activation": "gelu",
   "architectures": [
     "DistilBertForTokenClassification"
@@ -9,19 +9,23 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "O",
-    "1": "total.total_price",
-    "2": "menu.price",
-    "3": "menu.nm",
-    "4": "sub_total.tax_price"
+    "0": "sub_total.tax_price",
+    "1": "menu.nm",
+    "2": "O",
+    "3": "menu.price",
+    "4": "sub_total.total_tax_price",
+    "5": "tax.tax_rate",
+    "6": "total.total_price"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "O": 0,
-    "menu.nm": 3,
-    "menu.price": 2,
-    "sub_total.tax_price": 4,
-    "total.total_price": 1
+    "O": 2,
+    "menu.nm": 1,
+    "menu.price": 3,
+    "sub_total.tax_price": 0,
+    "sub_total.total_tax_price": 4,
+    "tax.tax_rate": 5,
+    "total.total_price": 6
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

pytorch_model.bin

@@ -1,3 +1,3 @@
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runs/May25_16-49-21_143c6d50ec2e/1653497458.0867422/events.out.tfevents.1653497458.143c6d50ec2e.23.1

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runs/May25_16-49-21_143c6d50ec2e/events.out.tfevents.1653497458.143c6d50ec2e.23.0

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tokenizer_config.json

@@ -1 +1 @@
-{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "Geotrend/distilbert-base-en-fr-de-no-da-cased", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "DistilBertTokenizer"}
+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "renjithks/distilbert-cord-ner", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "DistilBertTokenizer"}

training_args.bin

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