Training in progress, epoch 1

config.json

@@ -1,11 +1,10 @@
 {
-  "_name_or_path": "bert-base-cased",
+  "_name_or_path": "emilyalsentzer/Bio_ClinicalBERT",
   "architectures": [
     "BertForTokenClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,
-  "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:d56643f53695ae07e8ad425733f4077f09c02bcddb124cfa789da3a28d9dd19f
+oid sha256:a293baaf0a8613af6db783fd36f3d75fa3f2421a68e262132f8692cceef410a3
 size 430929740

runs/Dec28_03-08-18_4b3ad2ae2bf3/events.out.tfevents.1703732900.4b3ad2ae2bf3.2118.0

@@ -0,0 +1,3 @@
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+size 5084

tokenizer.json

@@ -54,7 +54,7 @@
     "clean_text": true,
     "handle_chinese_chars": true,
     "strip_accents": null,
-    "lowercase": false
+    "lowercase": true
   },
   "pre_tokenizer": {
     "type": "BertPreTokenizer"

tokenizer_config.json

@@ -43,9 +43,11 @@
   },
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
-  "do_lower_case": false,
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
   "mask_token": "[MASK]",
-  "model_max_length": 512,
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "strip_accents": null,

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:fde1a9f29ff3c88364340aaf619002b5481105be3aee89043fabd39668c41fa0
 size 4728