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"
@@ -37,6 +37,7 @@
   "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,
@@ -44,5 +45,5 @@
   "tie_weights_": true,
   "torch_dtype": "float32",
   "transformers_version": "4.30.1",
-  "vocab_size": 30522
+  "vocab_size": 28996
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 265517093
+oid sha256:f5fcd310a40a5c9614d0d6157549b9f5c472b79f5981a1ac0442a02425a5c6b2
+size 260829221

tokenizer_config.json

@@ -1,7 +1,7 @@
 {
   "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:e9145a33897289576e754e4868025eaf146edac660a523c50b740249cc2edf1a
 size 3963