Training in progress, epoch 1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-uncased",
+  "_name_or_path": "distilbert-base-cased",
   "activation": "gelu",
   "architectures": [
     "DistilBertForTokenClassification"
@@ -25,6 +25,7 @@
   "model_type": "distilbert",
   "n_heads": 12,
   "n_layers": 6,
+  "output_past": true,
   "pad_token_id": 0,
   "qa_dropout": 0.1,
   "seq_classif_dropout": 0.2,
@@ -32,5 +33,5 @@
   "tie_weights_": true,
   "torch_dtype": "float32",
   "transformers_version": "4.34.0",
-  "vocab_size": 30522
+  "vocab_size": 28996
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 265498661
+oid sha256:c33218d238987a9007192f9f82ec5380d2302bbedbfb3b95c07c7b74a60f7e9a
+size 260810789

tokenizer_config.json

@@ -44,7 +44,7 @@
   "additional_special_tokens": [],
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
-  "do_lower_case": true,
+  "do_lower_case": false,
   "mask_token": "[MASK]",
   "model_max_length": 512,
   "pad_token": "[PAD]",

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:4ff667b65febec8522cbd0eb78472a56d2b1dcf88939ae75524f62105ba1b087
 size 4027