End of training

README.md

@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| 0.2194        | 1.0   | 2242 | nan             | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.2098        | 1.0   | 2242 | nan             | 1.0       | 1.0    | 1.0 | 1.0      |
 
 
 ### Framework versions

config.json

@@ -1,7 +1,7 @@
 {
   "_name_or_path": "microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext",
   "architectures": [
-    "BertForMaskedLM"
+    "BertForTokenClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,

model.safetensors

@@ -1,3 +1,3 @@
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+size 435608392

training_args.bin

@@ -1,3 +1,3 @@
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 size 4091